1
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Sarathkumara YD, Xian RR, Liu Z, Yu KJ, Chan JKC, Kwong YL, Lam TH, Liang R, Chiu B, Xu J, Hu W, Ji BT, Coghill AE, Kelly AM, Pfeiffer RM, Rothman N, Ambinder RF, Hildesheim A, Lan Q, Proietti C, Doolan DL. A proteome-wide analysis unveils a core Epstein-Barr virus antibody signature of classic Hodgkin lymphoma across ethnically diverse populations. Int J Cancer 2024; 155:1476-1486. [PMID: 38995124 PMCID: PMC11326961 DOI: 10.1002/ijc.35072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 04/24/2024] [Accepted: 05/02/2024] [Indexed: 07/13/2024]
Abstract
Epstein-Barr virus (EBV) is an oncogenic virus associated with various malignancies, including classical Hodgkin lymphoma (cHL). Despite its known association, the specific role of humoral immune response to EBV remains poorly characterized in cHL. To address this, we conducted a study using a custom protein microarray to measure the antibody responses in cHL patients and matched healthy controls recruited from an East-Asian hospital-based case-control study. We identified 16 IgG antibodies significantly elevated in EBV-positive cHL compared with controls, defining an "East-Asian antibody signature of EBV-positive cHL." We evaluated responses against these 16 antibodies in a distinct European population, leveraging data from our previous European cHL case-control study from the UK, Denmark, and Sweden. A subset of antibodies (14/16, 87.5%) from the "East-Asian antibody signature of EBV-positive cHL" exhibited significant associations with cHL in the European population. Conversely, we assessed the "European antibody signature of EBV-positive cHL" identified in our prior study which consisted of 18 EBV antibodies (2 IgA, 16 IgG), in the East-Asian population. A subset of these antibodies (15/18, 83.3%) maintained significant associations with cHL in the East-Asian population. This cross-comparison of antibody signatures underscores the robust generalizability of EBV antibodies across populations. Five anti-EBV IgG antibodies (LMP-1, TK, BALF2, BDLF3, and BBLF1), found in both population-specific antibody signatures, represent a "core signature of EBV-positive cHL." Our findings suggest that the antibody responses targeting these core EBV proteins reflect a specific EBV gene expression pattern, serving as potential biomarkers for EBV-positive cHL independent of population-specific factors.
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Affiliation(s)
- Yomani D Sarathkumara
- Centre for Molecular Therapeutics, Australian Institute of Tropical Health and Medicine, James Cook University, Cairns, Queensland, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Rena R Xian
- Department of Pathology and Oncology, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA
| | - Zhiwei Liu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Kelly J Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - John K C Chan
- Department of Pathology, Queen Elizabeth Hospital, Hong Kong, China
| | - Yok-Lam Kwong
- Queen Mary Hospital, The University of Hong Kong, Hong Kong, China
| | - Tai Hing Lam
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Raymond Liang
- Hong Kong Sanatorium & Hospital, Hong Kong, Hong Kong
| | - Brian Chiu
- Department of Health Studies, University of Chicago, Chicago, Illinois, USA
| | - Jun Xu
- School of Public Health, The University of Hong Kong, Hong Kong, China
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Anna E Coghill
- Cancer Epidemiology Program, Division of Population Sciences, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Ashton M Kelly
- Centre for Molecular Therapeutics, Australian Institute of Tropical Health and Medicine, James Cook University, Cairns, Queensland, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Ruth M Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Richard F Ambinder
- Department of Pathology and Oncology, Johns Hopkins University, School of Medicine, Baltimore, Maryland, USA
| | - Allan Hildesheim
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Carla Proietti
- Centre for Molecular Therapeutics, Australian Institute of Tropical Health and Medicine, James Cook University, Cairns, Queensland, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Denise L Doolan
- Centre for Molecular Therapeutics, Australian Institute of Tropical Health and Medicine, James Cook University, Cairns, Queensland, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
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2
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Donald PF, Fernando E, Brown L, Busana M, Butchart SHM, Chng S, de la Colina A, Ferreira JM, Jain A, Jones VR, Lapido R, Malsch K, McDougall A, Muccio C, Nguyen D, Outhwaite W, Petrovan SO, Stafford C, Sutherland WJ, Tallowin O, Safford R. Assessing the global prevalence of wild birds in trade. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2024; 38:e14350. [PMID: 39248745 DOI: 10.1111/cobi.14350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 11/22/2023] [Accepted: 01/04/2024] [Indexed: 09/10/2024]
Abstract
Trade represents a significant threat to many wild species and is often clandestine and poorly monitored. Information on which species are most prevalent in trade and potentially threatened by it therefore remains fragmentary. We used 7 global data sets on birds in trade to identify species or groups of species at particular risk and assessed the extent to which they were congruent in terms of the species recorded in trade. We used the frequency with which species were recorded in the data sets as the basis for a trade prevalence score that was applied to all bird species globally. Literature searches and questionnaire surveys were used to develop a list of species known to be heavily traded to validate the trade prevalence score. The score was modeled to identify significant predictors of trade. Although the data sets sampled different parts of the broad trade spectrum, congruence among them was statistically strong in all comparisons. Furthermore, the frequency with which species were recorded within data sets was positively correlated with their occurrence across data sets, indicating that the trade prevalence score captured information on trade volume. The trade prevalence score discriminated well between species identified from semi-independent assessments as heavily or unsustainably traded and all other species. Globally, 45.1% of all bird species and 36.7% of globally threatened bird species had trade prevalence scores ≥1. Species listed in Appendices I or II of CITES, species with large geographical distributions, and nonpasserines tended to have high trade prevalence scores. Speciose orders with high mean trade prevalence scores included Falconiformes, Psittaciformes, Accipitriformes, Anseriformes, Bucerotiformes, and Strigiformes. Despite their low mean prevalence score, Passeriformes accounted for the highest overall number of traded species of any order but had low representation in CITES appendices. Geographical hotspots where large numbers of traded species co-occur differed among passerines (Southeast Asia and Eurasia) and nonpasserines (central South America, sub-Saharan Africa, and India). This first attempt to quantify and map the relative prevalence in trade of all bird species globally can be used to identify species and groups of species that may be at particular risk of harm from trade and can inform conservation and policy interventions to reduce its adverse impacts.
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Affiliation(s)
- Paul F Donald
- BirdLife International, Cambridge, UK
- Department of Zoology, University of Cambridge, Cambridge, UK
| | | | | | | | - Stuart H M Butchart
- BirdLife International, Cambridge, UK
- Department of Zoology, University of Cambridge, Cambridge, UK
| | | | | | | | - Anuj Jain
- BirdLife International, Singapore, Singapore
| | | | - Rocio Lapido
- Aves Argentinas, Asociación Ornitológica del Plata, Buenos Aires, Argentina
| | - Kelly Malsch
- UN Environment Programme World Conservation Monitoring Centre, Cambridge, UK
| | | | - Colum Muccio
- ARCAS Gautemala, San Lucas Sacatepéquez, Guatemala
| | | | | | | | - Ciara Stafford
- UN Environment Programme World Conservation Monitoring Centre, Cambridge, UK
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3
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Sevim Bayrak C, Forst CV, Jones DR, Gresham DJ, Pushalkar S, Wu S, Vogel C, Mahal LK, Ghedin E, Ross T, García-Sastre A, Zhang B. Patient subtyping analysis of baseline multi-omic data reveals distinct pre-immune states associated with antibody response to seasonal influenza vaccination. Clin Immunol 2024; 266:110333. [PMID: 39089348 PMCID: PMC11340208 DOI: 10.1016/j.clim.2024.110333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Revised: 07/26/2024] [Accepted: 07/27/2024] [Indexed: 08/03/2024]
Abstract
Understanding the molecular mechanisms underpinning diverse vaccination responses is critical for developing efficient vaccines. Molecular subtyping can offer insights into heterogeneous nature of responses and aid in vaccine design. We analyzed multi-omic data from 62 haemagglutinin seasonal influenza vaccine recipients (2019-2020), including transcriptomics, proteomics, glycomics, and metabolomics data collected pre-vaccination. We performed a subtyping analysis on the integrated data revealing five subtypes with distinct molecular signatures. These subtypes differed in the expression of pre-existing adaptive or innate immunity signatures, which were linked to significant variation in baseline immunoglobulin A (IgA) and hemagglutination inhibition (HAI) titer levels. It is worth noting that these differences persisted through day 28 post-vaccination, indicating the effect of initial immune state on vaccination response. These findings highlight the significance of interpersonal variation in baseline immune status as a crucial factor in determining the effectiveness of seasonal vaccines. Ultimately, incorporating molecular profiling could enable personalized vaccine optimization.
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Affiliation(s)
- Cigdem Sevim Bayrak
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mt Sinai, New York, NY, USA; Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Christian V Forst
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mt Sinai, New York, NY, USA; Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Microbiology, Icahn School of Medicine at Mt Sinai, New York, NY, USA
| | - Drew R Jones
- Department of Biochemistry and Molecular Pharmacology, New York University Langone Health, NY, New York, USA
| | - David J Gresham
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, USA
| | - Smruti Pushalkar
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, USA
| | - Shaohuan Wu
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, USA
| | - Christine Vogel
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, USA
| | - Lara K Mahal
- Department of Chemistry, University of Alberta, Edmonton, Alberta, Canada
| | - Elodie Ghedin
- Systems Genomics Section, Laboratory of Parasitic Diseases, NIAID, NIH, Bethesda, MD, USA
| | - Ted Ross
- Center for Vaccines and Immunology, University of Georgia, Athens, GA, USA; Department of Infectious Diseases, University of Georgia, Athens, GA, USA
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bin Zhang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mt Sinai, New York, NY, USA; Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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Lüleci HB, Jones A, Çakır T. Multi-omics analyses highlight molecular differences between clinical and neuropathological diagnoses in Alzheimer's disease. Eur J Neurosci 2024; 60:4922-4936. [PMID: 39072881 DOI: 10.1111/ejn.16482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Revised: 05/14/2024] [Accepted: 07/13/2024] [Indexed: 07/30/2024]
Abstract
Both clinical diagnosis and neuropathological diagnosis are commonly used in literature to categorize individuals as Alzheimer's disease (AD) or non-AD in omics analyses. Whether these diagnostic strategies result in distinct profiles of molecular abnormalities is poorly understood. Here, we analysed one of the most commonly used AD omics datasets in the literature from the Religious Orders Study and Memory and Aging Project (ROSMAP) cohort and compared the two diagnosis strategies using brain transcriptome and metabolome by grouping individuals as non-AD and AD according to clinical or neuropathological diagnosis separately. Differentially expressed genes, associated pathways related with AD hallmarks and AD-related genes showed that the categorization based on neuropathological diagnosis more accurately reflects the disease state at the molecular level than the categorization based on clinical diagnosis. We further identified consensus biomarker candidates between the two diagnosis strategies such as 5-hydroxylysine, sphingomyelin and 1-myristoyl-2-palmitoyl-GPC as metabolite biomarkers and sphingolipid metabolism as a pathway biomarker, which could be robust AD biomarkers since they are independent of diagnosis strategies. We also used consensus AD and consensus non-AD individuals between the two diagnostic strategies to train a machine-learning based model, which we used to classify the individuals who were cognitively normal but diagnosed as AD based on neuropathological diagnosis (asymptomatic AD individuals). The majority of these individuals were classified as consensus AD patients for both omics data types. Our study provides a detailed characterization of both diagnostic strategies in terms of the association of the corresponding multi-omics profiles with AD.
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Affiliation(s)
| | - Attila Jones
- Clinical and Translational Neuroscience Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Tunahan Çakır
- Department of Bioengineering, Gebze Technical University, Kocaeli, Turkey
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5
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Wos G, Palomar G, Marszałek M, Sniegula S. Comparative Transcriptomic Reveals Greater Similarities in Response to Temperature Than to Invasive Alien Predator in the Damselfly Ischnura elegans Across Different Geographic Scales. Evol Appl 2024; 17:e70002. [PMID: 39247089 PMCID: PMC11377989 DOI: 10.1111/eva.70002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 07/04/2024] [Accepted: 08/13/2024] [Indexed: 09/10/2024] Open
Abstract
The impact of global changes on populations may not be necessarily uniform across a species' range. Here, we aim at comparing the phenotypic and transcriptomic response to warming and an invasive predator cue in populations across different geographic scales in the damselfly Ischnura elegans. We collected adult females in two ponds in southern Poland (central latitude) and two ponds in southern Sweden (high latitude). We raised their larvae in growth chambers and exposed them to combination of temperature and a predator cue released by the crayfish Orconectes limosus. When larvae reached the prefinal larval stage, they were phenotyped for traits related to growth and size and collected for a gene expression analysis. High-latitude populations exhibited greater phenotypic and transcriptomic variation than central-latitude populations. Across latitudes and ponds, temperature generally increased growth rate and the predator cue decreased mass, but the effects of temperature were also pond-specific. Comparison of the transcriptomic profiles revealed a greater overlap in the response to temperature across latitudes and ponds, especially for pathway-related oxidative stress and sugar and lipid metabolism. The transcriptomic response to a predator cue and to the interaction temperature × predator cue was more pond-specific and overlapped only for few genes and pathways related to cuticle, development and signal transduction. We demonstrated that central- and high-latitude populations may partially respond through similar mechanisms to warming and, to a lower extent to a predator cue and to the interaction temperature × predator cue. For the predator cue and the interaction, the large fraction of ponds-specific genes suggests local adaptation. We show that high-latitude populations were generally more plastic at the phenotypic and transcriptomic level and may be more capable to cope with environmental changes than their central-latitude counterparts.
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Affiliation(s)
- Guillaume Wos
- Institute of Nature Conservation Polish Academy of Sciences Krakow Poland
| | - Gemma Palomar
- Department of Genetics, Physiology and Microbiology, Faculty of Biological Sciences Complutense University of Madrid Madrid Spain
- Institute of Environmental Sciences Jagiellonian University Kraków Poland
| | - Marzena Marszałek
- Institute of Environmental Sciences Jagiellonian University Kraków Poland
| | - Szymon Sniegula
- Institute of Nature Conservation Polish Academy of Sciences Krakow Poland
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6
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Jackson AC, Carine MA, Chapman MA. Genomics of ecological adaptation in Canary Island Descurainia (Brassicaceae) and comparisons with other Brassicaceae. Ecol Evol 2024; 14:e70144. [PMID: 39119179 PMCID: PMC11307170 DOI: 10.1002/ece3.70144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 07/16/2024] [Accepted: 07/25/2024] [Indexed: 08/10/2024] Open
Abstract
Oceanic archipelagos provide striking examples of lineages that have radiated over pronounced ecological gradients. Accompanying this diversification, lineages have evolved adaptations allowing survival in extreme environments. Here, we investigate the genomic basis of ecological adaptation in Canary Island Descurainia (Brassicaceae), an island relative of Arabidopsis. The seven endemic species have diversified in situ along an elevational and ecological gradient, from low-elevation scrub to high-elevation sub-alpine desert. We first generated a reference genome for Descurainia millefolia, phylogenetic analysis of which placed it as sister to D. sophioides. Ninety-six gene families were found to be specific to D. millefolia and a further 1087 and 1469 gene families have expanded or contracted in size, respectively, along the D. millefolia branch. We then employed genome re-sequencing to sample 14 genomes across the seven species of Canary Island Descurainia and an outgroup. Phylogenomic analyses were consistent with previous reconstructions of Canary Island Descurainia in resolving low- and high-elevation clades. Using the branch-site dN/dS method, we detected positive selection for 275 genes on the branch separating the low- and high-elevation species and these positively selected genes (PSGs) were significantly enriched for functions related to reproduction and stress tolerance. Comparing PSGs to those in analyses of adaptation to elevation and/or latitude in other Brassicaceae, we found little evidence of widespread convergence and gene reuse, except for two examples, one of which was a significant overlap between Descurainia and Draba nivalis, a species restricted to high latitudes. The study of Canary Island Descurainia suggests that the transition to high-elevation environments such as that found in the high mountains of the Canary Islands involves selection on genes related to reproduction and stress tolerance but that repeated evolution across different lineages that have evolved into similar habitats is limited, indicating substantially different molecular trajectories to adaptation.
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Affiliation(s)
- Amy C. Jackson
- Biological SciencesUniversity of SouthamptonSouthamptonUK
- Algae, Fungi and Plants DivisionThe Natural History MuseumLondonUK
- Present address:
Royal Botanic Gardens, Kew, Kew GreenRichmondSurreyUK
| | - Mark A. Carine
- Algae, Fungi and Plants DivisionThe Natural History MuseumLondonUK
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7
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Andrade P, Alves JM, Pereira P, Rubin CJ, Silva E, Sprehn CG, Enbody E, Afonso S, Faria R, Zhang Y, Bonino N, Duckworth JA, Garreau H, Letnic M, Strive T, Thulin CG, Queney G, Villafuerte R, Jiggins FM, Ferrand N, Andersson L, Carneiro M. Selection against domestication alleles in introduced rabbit populations. Nat Ecol Evol 2024; 8:1543-1555. [PMID: 38907020 DOI: 10.1038/s41559-024-02443-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 05/14/2024] [Indexed: 06/23/2024]
Abstract
Humans have moved domestic animals around the globe for thousands of years. These have occasionally established feral populations in nature, often with devastating ecological consequences. To understand how natural selection shapes re-adaptation into the wild, we investigated one of the most successful colonizers in history, the European rabbit. By sequencing the genomes of 297 rabbits across three continents, we show that introduced populations exhibit a mixed wild-domestic ancestry. We show that alleles that increased in frequency during domestication were preferentially selected against in novel natural environments. Interestingly, causative mutations for common domestication traits sometimes segregate at considerable frequencies if associated with less drastic phenotypes (for example, coat colour dilution), whereas mutations that are probably strongly maladaptive in nature are absent. Whereas natural selection largely targeted different genomic regions in each introduced population, some of the strongest signals of parallelism overlap genes associated with neuronal or brain function. This limited parallelism is probably explained by extensive standing genetic variation resulting from domestication together with the complex mixed ancestry of introduced populations. Our findings shed light on the selective and molecular mechanisms that enable domestic animals to re-adapt to the wild and provide important insights for the mitigation and management of invasive populations.
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Affiliation(s)
- Pedro Andrade
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal.
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal.
| | - Joel M Alves
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal
- Palaeogenomics and Bio-Archaeology Research Network Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford, UK
| | - Paulo Pereira
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Porto, Portugal
| | - Carl-Johan Rubin
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
- Institute of Marine Research, Bergen, Norway
| | - Eugénio Silva
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Porto, Portugal
| | - C Grace Sprehn
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Erik Enbody
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
- Department of Biomolecular Engineering, University of California, Santa Cruz, CA, USA
| | - Sandra Afonso
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal
| | - Rui Faria
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal
| | - Yexin Zhang
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Never Bonino
- Estación Experimental Bariloche, Instituto Nacional de Tecnología Agropecuaria, Casilla de Correo Bariloche, Argentina
| | - Janine A Duckworth
- Wildlife Ecology and Management Group, Manaaki Whenua - Landcare Research, Lincoln, New Zealand
- Invasive Animals Cooperative Research Centre, University of Canberra, Bruce, Australian Capital Territory, Australia
| | - Hervé Garreau
- GenPhySE, Université de Toulouse, Castanet-Tolosan, France
| | - Mike Letnic
- Centre for Ecosystem Science, School of BEES, University of New South Wales, Sydney, New South Wales, Australia
- Evolution and Ecology Research Centre, School of BEES, University of New South Wales, Sydney, New South Wales, Australia
| | - Tanja Strive
- Centre for Invasive Species Solutions, University of Canberra, Bruce, Australian Capital Territory, Australia
- Commonwealth Scientific and Industrial Research Organisation, Canberra, Australian Capital Territory, Australia
| | - Carl-Gustaf Thulin
- Department of Animal Biosciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Guillaume Queney
- ANTAGENE, Wildlife Genetics Laboratory, La Tour de Salvagny, France
| | | | | | - Nuno Ferrand
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Porto, Portugal
- Department of Zoology, Faculty of Sciences, University of Johannesburg, Auckland Park, South Africa
| | - Leif Andersson
- Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX, USA.
| | - Miguel Carneiro
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal.
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal.
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8
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Yang X, Mann KK, Wu H, Ding J. scCross: a deep generative model for unifying single-cell multi-omics with seamless integration, cross-modal generation, and in silico exploration. Genome Biol 2024; 25:198. [PMID: 39075536 PMCID: PMC11285326 DOI: 10.1186/s13059-024-03338-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 07/16/2024] [Indexed: 07/31/2024] Open
Abstract
Single-cell multi-omics data reveal complex cellular states, providing significant insights into cellular dynamics and disease. Yet, integration of multi-omics data presents challenges. Some modalities have not reached the robustness or clarity of established transcriptomics. Coupled with data scarcity for less established modalities and integration intricacies, these challenges limit our ability to maximize single-cell omics benefits. We introduce scCross, a tool leveraging variational autoencoders, generative adversarial networks, and the mutual nearest neighbors (MNN) technique for modality alignment. By enabling single-cell cross-modal data generation, multi-omics data simulation, and in silico cellular perturbations, scCross enhances the utility of single-cell multi-omics studies.
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Affiliation(s)
- Xiuhui Yang
- School of Software, Shandong University, 1500 Shunhua, Jinan, 250101, Shandong, China
- Meakins-Christie Laboratories, Department of Medicine, McGill University Health Centre, Montreal, H4A 3J1, QC, Canada
- Quantitative Life Sciences, Faculty of Medicine & Health Sciences, McGill University, Montreal, QC, H3G 1Y6, Canada
| | - Koren K Mann
- Department of Pharmacology and Therapeutics, McGill University, Montreal, QC, H3G 1Y6, Canada
| | - Hao Wu
- School of Software, Shandong University, 1500 Shunhua, Jinan, 250101, Shandong, China.
| | - Jun Ding
- Meakins-Christie Laboratories, Department of Medicine, McGill University Health Centre, Montreal, H4A 3J1, QC, Canada.
- Quantitative Life Sciences, Faculty of Medicine & Health Sciences, McGill University, Montreal, QC, H3G 1Y6, Canada.
- Mila-Quebec AI Institute, Montreal, QC, H2S 3H1, Canada.
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9
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Long DR, Holmes EA, Lo HY, Penewit K, Almazan J, Hodgson T, Berger NF, Bishop ZH, Lewis JD, Waalkes A, Wolter DJ, Salipante SJ. Clinical and in vitro models identify distinct adaptations enhancing Staphylococcus aureus pathogenesis in human macrophages. PLoS Pathog 2024; 20:e1012394. [PMID: 38991026 PMCID: PMC11265673 DOI: 10.1371/journal.ppat.1012394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 07/23/2024] [Accepted: 07/04/2024] [Indexed: 07/13/2024] Open
Abstract
Staphylococcus aureus is a facultative intracellular pathogen of human macrophages, which facilitates chronic infection. The genotypes, pathways, and mutations influencing that phenotype remain incompletely explored. Here, we used two distinct strategies to ascertain S. aureus gene mutations affecting pathogenesis in macrophages. First, we analyzed isolates collected serially from chronic cystic fibrosis (CF) respiratory infections. We found that S. aureus strains evolved greater macrophage invasion capacity during chronic human infection. Bacterial genome-wide association studies (GWAS) identified 127 candidate genes for which mutation was significantly associated with macrophage pathogenesis in vivo. In parallel, we passaged laboratory S. aureus strains in vitro to select for increased infection of human THP-1 derived macrophages, which identified 15 candidate genes by whole-genome sequencing. Functional validation of candidate genes using isogenic transposon mutant knockouts and CRISPR interference (CRISPRi) knockdowns confirmed virulence contributions from 37 of 39 tested genes (95%) implicated by in vivo studies and 7 of 10 genes (70%) ascertained from in vitro selection, with one gene in common to the two strategies. Validated genes included 17 known virulence factors (39%) and 27 newly identified by our study (61%), some encoding functions not previously associated with macrophage pathogenesis. Most genes (80%) positively impacted macrophage invasion when disrupted, consistent with the phenotype readily arising from loss-of-function mutations in vivo. This work reveals genes and mechanisms that contribute to S. aureus infection of macrophages, highlights differences in mutations underlying convergent phenotypes arising from in vivo and in vitro systems, and supports the relevance of S. aureus macrophage pathogenesis during chronic respiratory infection in CF. Additional studies will be needed to illuminate the exact mechanisms by which implicated mutations affect their phenotypes.
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Affiliation(s)
- Dustin R. Long
- Division of Critical Care Medicine, Department of Anesthesiology and Pain Medicine, University of Washington School of Medicine, Seattle, Washington, United States of America
| | - Elizabeth A. Holmes
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, United States of America
| | - Hsin-Yu Lo
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, United States of America
| | - Kelsi Penewit
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, United States of America
| | - Jared Almazan
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, United States of America
| | - Taylor Hodgson
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, United States of America
| | - Nova F. Berger
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, United States of America
| | - Zoe H. Bishop
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, United States of America
| | - Janessa D. Lewis
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, United States of America
| | - Adam Waalkes
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, United States of America
| | - Daniel J. Wolter
- Department of Pediatrics, University of Washington School of Medicine, Seattle, Washington, United States of America
| | - Stephen J. Salipante
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, United States of America
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10
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Pachamuthu K, Simon M, Borges F. Targeted suppression of siRNA biogenesis in Arabidopsis pollen promotes triploid seed viability. Nat Commun 2024; 15:4612. [PMID: 38816386 PMCID: PMC11139921 DOI: 10.1038/s41467-024-48950-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 05/14/2024] [Indexed: 06/01/2024] Open
Abstract
In plants, small-interfering RNAs (siRNAs) mediate epigenetic silencing via the RNA-directed DNA methylation (RdDM) pathway, which is particularly prominent during reproduction and seed development. However, there is limited understanding of the origins and dynamics of reproductive siRNAs acting in different cellular and developmental contexts. Here, we used the RNaseIII-like protein RTL1 to suppress siRNA biogenesis in Arabidopsis pollen, and found distinct siRNA subsets produced during pollen development. We demonstrate that RTL1 expression in the late microspore and vegetative cell strongly impairs epigenetic silencing, and resembles RdDM mutants in their ability to bypass interploidy hybridization barriers in the seed. However, germline-specific RTL1 expression did not impact transgenerational inheritance of triploid seed lethality. These results reveal the existence of multiple siRNA subsets accumulated in mature pollen, and suggest that mobile siRNAs involved in the triploid block are produced in germline precursor cells after meiosis, or in the vegetative cell during pollen mitosis.
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Affiliation(s)
- Kannan Pachamuthu
- Université Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), Versailles, France
- School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India
| | - Matthieu Simon
- Université Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), Versailles, France
| | - Filipe Borges
- Université Paris-Saclay, INRAE, AgroParisTech, Institut Jean-Pierre Bourgin (IJPB), Versailles, France.
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11
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Schätzl T, Todorow V, Kaiser L, Weinschrott H, Schoser B, Deigner HP, Meinke P, Kohl M. Meta-analysis towards FSHD reveals misregulation of neuromuscular junction, nuclear envelope, and spliceosome. Commun Biol 2024; 7:640. [PMID: 38796645 PMCID: PMC11127974 DOI: 10.1038/s42003-024-06325-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 05/13/2024] [Indexed: 05/28/2024] Open
Abstract
Facioscapulohumeral muscular dystrophy (FSHD) is one of the most common autosomal dominant muscle disorders, yet no cure or amelioration exists. The clinical presentation is diverse, making it difficult to identify the actual driving pathomechanism among many downstream events. To unravel this complexity, we performed a meta-analysis of 13 original omics datasets (in total 171 FSHD and 129 control samples). Our approach confirmed previous findings about the disease pathology and specified them further. We confirmed increased expression of former proposed DUX4 biomarkers, and furthermore impairment of the respiratory chain. Notably, the meta-analysis provides insights about so far not reported pathways, including misregulation of neuromuscular junction protein encoding genes, downregulation of the spliceosome, and extensive alterations of nuclear envelope protein expression. Finally, we developed a publicly available shiny app to provide a platform for researchers who want to search our analysis for genes of interest in the future.
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Affiliation(s)
- Teresa Schätzl
- Institute of Precision Medicine, Furtwangen University, Furtwangen, Germany
| | - Vanessa Todorow
- Friedrich-Baur-Institute at the Department of Neurology, LMU University Hospital, Ludwig Maximilian University, Munich, Germany
| | - Lars Kaiser
- Institute of Precision Medicine, Furtwangen University, Furtwangen, Germany
| | - Helga Weinschrott
- Institute of Precision Medicine, Furtwangen University, Furtwangen, Germany
| | - Benedikt Schoser
- Friedrich-Baur-Institute at the Department of Neurology, LMU University Hospital, Ludwig Maximilian University, Munich, Germany
| | - Hans-Peter Deigner
- Institute of Precision Medicine, Furtwangen University, Furtwangen, Germany
- Faculty of Science, Eberhard-Karls-University Tuebingen, Tuebingen, Germany
- EXIM Department, Fraunhofer Institute IZI (Leipzig), Rostock, Germany
| | - Peter Meinke
- Friedrich-Baur-Institute at the Department of Neurology, LMU University Hospital, Ludwig Maximilian University, Munich, Germany
| | - Matthias Kohl
- Institute of Precision Medicine, Furtwangen University, Furtwangen, Germany.
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12
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Ruzicka WB, Mohammadi S, Fullard JF, Davila-Velderrain J, Subburaju S, Tso DR, Hourihan M, Jiang S, Lee HC, Bendl J, Voloudakis G, Haroutunian V, Hoffman GE, Roussos P, Kellis M. Single-cell multi-cohort dissection of the schizophrenia transcriptome. Science 2024; 384:eadg5136. [PMID: 38781388 DOI: 10.1126/science.adg5136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 07/21/2023] [Indexed: 05/25/2024]
Abstract
The complexity and heterogeneity of schizophrenia have hindered mechanistic elucidation and the development of more effective therapies. Here, we performed single-cell dissection of schizophrenia-associated transcriptomic changes in the human prefrontal cortex across 140 individuals in two independent cohorts. Excitatory neurons were the most affected cell group, with transcriptional changes converging on neurodevelopment and synapse-related molecular pathways. Transcriptional alterations included known genetic risk factors, suggesting convergence of rare and common genomic variants on neuronal population-specific alterations in schizophrenia. Based on the magnitude of schizophrenia-associated transcriptional change, we identified two populations of individuals with schizophrenia marked by expression of specific excitatory and inhibitory neuronal cell states. This single-cell atlas links transcriptomic changes to etiological genetic risk factors, contextualizing established knowledge within the human cortical cytoarchitecture and facilitating mechanistic understanding of schizophrenia pathophysiology and heterogeneity.
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Affiliation(s)
- W Brad Ruzicka
- Laboratory for Epigenomics in Human Psychopathology, McLean Hospital, Belmont, MA 02478, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Shahin Mohammadi
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - John F Fullard
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jose Davila-Velderrain
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Neurogenomics Research Center, Human Technopole, 20157 Milan, Italy
| | - Sivan Subburaju
- Laboratory for Epigenomics in Human Psychopathology, McLean Hospital, Belmont, MA 02478, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA
| | - Daniel Reed Tso
- Laboratory for Epigenomics in Human Psychopathology, McLean Hospital, Belmont, MA 02478, USA
| | - Makayla Hourihan
- Laboratory for Epigenomics in Human Psychopathology, McLean Hospital, Belmont, MA 02478, USA
| | - Shan Jiang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Hao-Chih Lee
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jaroslav Bendl
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Georgios Voloudakis
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Vahram Haroutunian
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Mental Illness Research, Education and Clinical Centers, James J. Peters VA Medical Center, Bronx, NY 10468, USA
| | - Gabriel E Hoffman
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Panos Roussos
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Neurogenomics Research Center, Human Technopole, 20157 Milan, Italy
| | - Manolis Kellis
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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13
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Evans TA, Feltrin AS, Benjamin KJ, Katipalli T, Hyde T, Kleinman JE, Weinberger DR, Paquola AC, Erwin JA. Lifespan analysis of repeat expression reveals age-dependent upregulation of HERV-K in the neurotypical human brain. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.17.24307184. [PMID: 38798538 PMCID: PMC11118647 DOI: 10.1101/2024.05.17.24307184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
DNA repetitive sequences (or repeats) comprise over 50% of the human genome and have a crucial regulatory role, specifically regulating transcription machinery. The human brain is the tissue with the highest detectable repeat expression and dysregulations on the repeat activity are related to several neurological and neurodegenerative disorders, as repeat-derived products can stimulate a pro-inflammatory response. Even so, it is unclear how repeat expression acts on the aging neurotypical brain. Here, we leverage a large postmortem transcriptome cohort spanning the human lifespan to assess global repeat expression in the neurotypical brain. We identified 21,696 differentially expressed repeats (DERs) that varied across seven age bins (Prenatal; 0-15; 16-29; 30-39; 40-49; 50-59; 60+) across the caudate nucleus (n=271), dorsolateral prefrontal cortex (n=304), and hippocampus (n=310). Interestingly, we found that long interspersed nuclear elements and long terminal repeats (LTRs) DERs were the most abundant repeat families when comparing infants to early adolescence (0-15) with older adults (60+). Of these differentially regulated LTRs, we identified 17 shared across all brain regions, including increased expression of HERV-K-int in older adult brains (60+). Co-expression analysis from each of the three brain regions also showed repeats from the HERV subfamily were intramodular hubs in its subnetworks. While we do not observe a strong global relationship between repeat expression and age, we identified HERV-K as a repeat signature associated with the aging neurotypical brain. Our study is the first global assessment of repeat expression in the neurotypical brain.
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14
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Bradley CC, Wang C, Gordon AJE, Wen AX, Luna PN, Cooke MB, Kohrn BF, Kennedy SR, Avadhanula V, Piedra PA, Lichtarge O, Shaw CA, Ronca SE, Herman C. Targeted accurate RNA consensus sequencing (tARC-seq) reveals mechanisms of replication error affecting SARS-CoV-2 divergence. Nat Microbiol 2024; 9:1382-1392. [PMID: 38649410 PMCID: PMC11384275 DOI: 10.1038/s41564-024-01655-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 02/28/2024] [Indexed: 04/25/2024]
Abstract
RNA viruses, like SARS-CoV-2, depend on their RNA-dependent RNA polymerases (RdRp) for replication, which is error prone. Monitoring replication errors is crucial for understanding the virus's evolution. Current methods lack the precision to detect rare de novo RNA mutations, particularly in low-input samples such as those from patients. Here we introduce a targeted accurate RNA consensus sequencing method (tARC-seq) to accurately determine the mutation frequency and types in SARS-CoV-2, both in cell culture and clinical samples. Our findings show an average of 2.68 × 10-5 de novo errors per cycle with a C > T bias that cannot be solely attributed to APOBEC editing. We identified hotspots and cold spots throughout the genome, correlating with high or low GC content, and pinpointed transcription regulatory sites as regions more susceptible to errors. tARC-seq captured template switching events including insertions, deletions and complex mutations. These insights shed light on the genetic diversity generation and evolutionary dynamics of SARS-CoV-2.
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Affiliation(s)
- Catherine C Bradley
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Baylor College of Medicine Medical Scientist Training Program, Houston, TX, USA
- Robert and Janice McNair Foundation/ McNair Medical Institute M.D./Ph.D. Scholars program, Houston, TX, USA
| | - Chen Wang
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Alasdair J E Gordon
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Alice X Wen
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Baylor College of Medicine Medical Scientist Training Program, Houston, TX, USA
- Robert and Janice McNair Foundation/ McNair Medical Institute M.D./Ph.D. Scholars program, Houston, TX, USA
| | - Pamela N Luna
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Matthew B Cooke
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Brendan F Kohrn
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Scott R Kennedy
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Vasanthi Avadhanula
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA
| | - Pedro A Piedra
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA
| | - Olivier Lichtarge
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Chad A Shaw
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Shannon E Ronca
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA
- Feigin Biosafety Level 3 Facility, Texas Children's Hospital, Houston, TX, USA
- National School of Tropical Medicine, Department of Pediatrics Tropical Medicine, Texas Children's Hospital and Baylor College of Medicine, Houston, TX, USA
| | - Christophe Herman
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA.
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA.
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15
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Flynn K, Le M, Hazemi M, Biales A, Bencic DC, Blackwell BR, Bush K, Flick R, Hoang JX, Martinson J, Morshead M, Rodriguez KS, Stacy E, Villeneuve DL. Comparing Transcriptomic Points of Departure to Apical Effect Concentrations For Larval Fathead Minnow Exposed to Chemicals with Four Different Modes Of Action. ARCHIVES OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY 2024; 86:346-362. [PMID: 38743081 PMCID: PMC11305162 DOI: 10.1007/s00244-024-01064-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Accepted: 04/04/2024] [Indexed: 05/16/2024]
Abstract
It is postulated that below a transcriptomic-based point of departure, adverse effects are unlikely to occur, thereby providing a chemical concentration to use in screening level hazard assessment. The present study extends previous work describing a high-throughput fathead minnow assay that can provide full transcriptomic data after exposure to a test chemical. One-day post-hatch fathead minnows were exposed to ten concentrations of three representatives of four chemical modes of action: organophosphates, ecdysone receptor agonists, plant photosystem II inhibitors, and estrogen receptor agonists for 24 h. Concentration response modeling was performed on whole body gene expression data from each exposure, using measured chemical concentrations when available. Transcriptomic points of departure in larval fathead minnow were lower than apical effect concentrations across fish species but not always lower than toxic effect concentrations in other aquatic taxa like crustaceans and insects. The point of departure was highly dependent on measured chemical concentration which were often lower than the nominal concentration. Differentially expressed genes between chemicals within modes of action were compared and often showed statistically significant overlap. In addition, reproducibility between identical exposures using a positive control chemical (CuSO4) and variability associated with the transcriptomic point of departure using in silico sampling were considered. Results extend a transcriptomic-compatible fathead minnow high-throughput assay for possible use in ecological hazard screening.
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Affiliation(s)
- Kevin Flynn
- Great Lakes Toxicology and Ecology Division, US Environmental Protection Agency, US EPA GLTED, 6201 Congdon Blvd, Duluth, MN, 55804, USA.
| | - Michelle Le
- Oak Ridge Institute for Science and Education (ORISE) Research Participant, Great Lakes Toxicology and Ecology Division, US Environmental Protection Agency, Duluth, MN, 55804, USA
| | - Monique Hazemi
- Oak Ridge Institute for Science and Education (ORISE) Research Participant, Great Lakes Toxicology and Ecology Division, US Environmental Protection Agency, Duluth, MN, 55804, USA
| | - Adam Biales
- Great Lakes Toxicology and Ecology Division, US Environmental Protection Agency, Cincinnati, OH, 45220, USA
| | - David C Bencic
- Great Lakes Toxicology and Ecology Division, US Environmental Protection Agency, Cincinnati, OH, 45220, USA
| | - Brett R Blackwell
- Biochemistry and Biotechnology Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA
| | - Kendra Bush
- Oak Ridge Institute for Science and Education (ORISE) Research Participant, Great Lakes Toxicology and Ecology Division, US Environmental Protection Agency, Duluth, MN, 55804, USA
| | - Robert Flick
- Great Lakes Toxicology and Ecology Division, US Environmental Protection Agency, Cincinnati, OH, 45220, USA
| | - John X Hoang
- Oak Ridge Institute for Science and Education (ORISE) Research Participant, Great Lakes Toxicology and Ecology Division, US Environmental Protection Agency, Duluth, MN, 55804, USA
| | - John Martinson
- Great Lakes Toxicology and Ecology Division, US Environmental Protection Agency, Cincinnati, OH, 45220, USA
| | - Mackenzie Morshead
- Oak Ridge Institute for Science and Education (ORISE) Research Participant, Great Lakes Toxicology and Ecology Division, US Environmental Protection Agency, Duluth, MN, 55804, USA
| | - Kelvin Santana Rodriguez
- Oak Ridge Institute for Science and Education (ORISE) Research Participant, Great Lakes Toxicology and Ecology Division, US Environmental Protection Agency, Duluth, MN, 55804, USA
| | - Emma Stacy
- Great Lakes Toxicology and Ecology Division, US Environmental Protection Agency, US EPA GLTED, 6201 Congdon Blvd, Duluth, MN, 55804, USA
| | - Daniel L Villeneuve
- Great Lakes Toxicology and Ecology Division, US Environmental Protection Agency, US EPA GLTED, 6201 Congdon Blvd, Duluth, MN, 55804, USA
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16
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Wilhelmi P, Haake V, Zickgraf FM, Giri V, Ternes P, Driemert P, Nöth J, Scholz S, Barenys M, Flick B, Birk B, Kamp H, Landsiedel R, Funk-Weyer D. Molecular signatures of angiogenesis inhibitors: a single-embryo untargeted metabolomics approach in zebrafish. Arch Toxicol 2024; 98:943-956. [PMID: 38285066 PMCID: PMC10861732 DOI: 10.1007/s00204-023-03655-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 11/29/2023] [Indexed: 01/30/2024]
Abstract
Angiogenesis is a key process in embryonic development, a disruption of this process can lead to severe developmental defects, such as limb malformations. The identification of molecular perturbations representative of antiangiogenesis in zebrafish embryo (ZFE) may guide the assessment of developmental toxicity from an endpoint- to a mechanism-based approach, thereby improving the extrapolation of findings to humans. Thus, the aim of the study was to discover molecular changes characteristic of antiangiogenesis and developmental toxicity. We exposed ZFEs to two antiangiogenic drugs (SU4312, sorafenib) and two developmental toxicants (methotrexate, rotenone) with putative antiangiogenic action. Molecular changes were measured by performing untargeted metabolomics in single embryos. The metabolome response was accompanied by the occurrence of morphological alterations. Two distinct metabolic effect patterns were observed. The first pattern comprised common effects of two specific angiogenesis inhibitors and the known teratogen methotrexate, strongly suggesting a shared mode of action of antiangiogenesis and developmental toxicity. The second pattern involved joint effects of methotrexate and rotenone, likely related to disturbances in energy metabolism. The metabolites of the first pattern, such as phosphatidylserines, pterines, retinol, or coenzyme Q precursors, represented potential links to antiangiogenesis and related developmental toxicity. The metabolic effect pattern can contribute to biomarker identification for a mechanism-based toxicological testing.
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Affiliation(s)
- Pia Wilhelmi
- BASF SE, Experimental Toxicology and Ecology, Carl-Bosch-Strasse 38, 67056, Ludwigshafen Am Rhein, Germany.
- University of Barcelona, Research Group in Toxicology-GRET, 08028, Barcelona, Spain.
| | - Volker Haake
- BASF Metabolome Solutions, 10589, Berlin, Germany
| | - Franziska M Zickgraf
- BASF SE, Experimental Toxicology and Ecology, Carl-Bosch-Strasse 38, 67056, Ludwigshafen Am Rhein, Germany.
| | - Varun Giri
- BASF SE, Experimental Toxicology and Ecology, Carl-Bosch-Strasse 38, 67056, Ludwigshafen Am Rhein, Germany
| | | | | | - Julia Nöth
- Department of Bioanalytical Ecotoxicology, Helmholtz Centre for Environmental Research-UFZ, 04318, Leipzig, Germany
| | - Stefan Scholz
- Department of Bioanalytical Ecotoxicology, Helmholtz Centre for Environmental Research-UFZ, 04318, Leipzig, Germany
| | - Marta Barenys
- University of Barcelona, Research Group in Toxicology-GRET, 08028, Barcelona, Spain
- German Centre for the Protection of Laboratory Animals (Bf3R), German Federal Institute for Risk Assessment (BfR), 10589, Berlin, Germany
| | - Burkhard Flick
- BASF SE, Experimental Toxicology and Ecology, Carl-Bosch-Strasse 38, 67056, Ludwigshafen Am Rhein, Germany
- Preclinical Compound Profiling, Toxicology, NUVISAN ICB GmbH, 13353, Berlin, Germany
| | - Barbara Birk
- BASF SE, Experimental Toxicology and Ecology, Carl-Bosch-Strasse 38, 67056, Ludwigshafen Am Rhein, Germany
| | | | - Robert Landsiedel
- BASF SE, Experimental Toxicology and Ecology, Carl-Bosch-Strasse 38, 67056, Ludwigshafen Am Rhein, Germany
- Institute of Pharmacy, Pharmacology and Toxicology, Free University of Berlin, 14195, Berlin, Germany
| | - Dorothee Funk-Weyer
- BASF SE, Experimental Toxicology and Ecology, Carl-Bosch-Strasse 38, 67056, Ludwigshafen Am Rhein, Germany
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17
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Vingan I, Phatarpekar S, Tung VSK, Hernández AI, Evgrafov OV, Alarcon JM. Spatially Resolved Transcriptomic Signatures of Hippocampal Subregions and Arc-Expressing Ensembles in Active Place Avoidance Memory. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.12.30.573225. [PMID: 38260257 PMCID: PMC10802250 DOI: 10.1101/2023.12.30.573225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
The rodent hippocampus is a spatially organized neuronal network that supports the formation of spatial and episodic memories. We conducted bulk RNA sequencing and spatial transcriptomics experiments to measure gene expression changes in the dorsal hippocampus following the recall of active place avoidance (APA) memory. Through bulk RNA sequencing, we examined the gene expression changes following memory recall across the functionally distinct subregions of the dorsal hippocampus. We found that recall induced differentially expressed genes (DEGs) in the CA1 and CA3 hippocampal subregions were enriched with genes involved in synaptic transmission and synaptic plasticity, while DEGs in the dentate gyrus (DG) were enriched with genes involved in energy balance and ribosomal function. Through spatial transcriptomics, we examined gene expression changes following memory recall across an array of spots encompassing putative memory-associated neuronal ensembles marked by the expression of the IEGs Arc, Egr1, and c-Jun. Within samples from both trained and untrained mice, the subpopulations of spatial transcriptomic spots marked by these IEGs were transcriptomically and spatially distinct from one another. DEGs detected between Arc+ and Arc- spots exclusively in the trained mouse were enriched in several memory-related gene ontology terms, including "regulation of synaptic plasticity" and "memory." Our results suggest that APA memory recall is supported by regionalized transcriptomic profiles separating the CA1 and CA3 from the DG, transcriptionally and spatially distinct IEG expressing spatial transcriptomic spots, and biological processes related to synaptic plasticity as a defining the difference between Arc+ and Arc- spatial transcriptomic spots.
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Affiliation(s)
- Isaac Vingan
- School of Graduates Studies, Program in Neural and Behavioral Sciences, State University of New York, Downstate Health Sciences University, Brooklyn, NY, USA
| | - Shwetha Phatarpekar
- Institute of Genomics in Health, State University of New York, Downstate Health Sciences University, Brooklyn, NY, USA
| | - Victoria Sook Keng Tung
- School of Graduates Studies, Program in Molecular and Cell Biology, State University of New York, Downstate Health Sciences University, Brooklyn, NY, USA
| | - A Iván Hernández
- School of Graduates Studies, Program in Neural and Behavioral Sciences, State University of New York, Downstate Health Sciences University, Brooklyn, NY, USA
- Department of Pathology, State University of New York, Downstate Health Sciences University, Brooklyn, NY, USA
- The Robert F. Furchgott Center for Neural & Behavioral Science, State University of New York, Downstate Health Sciences University, Brooklyn, NY, USA
| | - Oleg V Evgrafov
- Institute of Genomics in Health, State University of New York, Downstate Health Sciences University, Brooklyn, NY, USA
- School of Graduates Studies, Program in Molecular and Cell Biology, State University of New York, Downstate Health Sciences University, Brooklyn, NY, USA
- Department of Cell Biology, State University of New York, Downstate Health Sciences University, Brooklyn, NY, USA
- Department of Genetics, Human Genetics Institute of New Jersey, Rutgers University, Piscataway, NJ, USA
| | - Juan Marcos Alarcon
- School of Graduates Studies, Program in Neural and Behavioral Sciences, State University of New York, Downstate Health Sciences University, Brooklyn, NY, USA
- Department of Pathology, State University of New York, Downstate Health Sciences University, Brooklyn, NY, USA
- The Robert F. Furchgott Center for Neural & Behavioral Science, State University of New York, Downstate Health Sciences University, Brooklyn, NY, USA
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18
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Lu YW, Ding ZL, Mao R, Zhao GG, He YQ, Li XL, Liu J. Early results of the integrative epigenomic-transcriptomic landscape of colorectal adenoma and cancer. World J Gastrointest Oncol 2024; 16:414-435. [PMID: 38425399 PMCID: PMC10900154 DOI: 10.4251/wjgo.v16.i2.414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 11/24/2023] [Accepted: 12/22/2023] [Indexed: 02/02/2024] Open
Abstract
BACKGROUND Aberrant methylation is common during the initiation and progression of colorectal cancer (CRC), and detecting these changes that occur during early adenoma (ADE) formation and CRC progression has clinical value. AIM To identify potential DNA methylation markers specific to ADE and CRC. METHODS Here, we performed SeqCap targeted bisulfite sequencing and RNA-seq analysis of colorectal ADE and CRC samples to profile the epigenomic-transcriptomic landscape. RESULTS Comparing 22 CRC and 25 ADE samples, global methylation was higher in the former, but both showed similar methylation patterns regarding differentially methylated gene positions, chromatin signatures, and repeated elements. High-grade CRC tended to exhibit elevated methylation levels in gene promoter regions compared to those in low-grade CRC. Combined with RNA-seq gene expression data, we identified 14 methylation-regulated differentially expressed genes, of which only AGTR1 and NECAB1 methylation had prognostic significance. CONCLUSION Our results suggest that genome-wide alterations in DNA methylation occur during the early stages of CRC and demonstrate the methylation signatures associated with colorectal ADEs and CRC, suggesting prognostic biomarkers for CRC.
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Affiliation(s)
- You-Wang Lu
- Department of Dermatology and Venereology, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan Province, China
| | - Zhao-Li Ding
- Kunming Biological Diversity Regional Center of Large Apparatus and Equipments, Public Technical Service Center, Kunming Institute of Zoology, Kunming 650223, Yunnan Province, China
| | - Rui Mao
- School of Stomatology, Kunming Medical University, Kunming 650500, Yunnan Province, China
| | - Gui-Gang Zhao
- Genome Center of Biodiversity, Kunming Institute of Zoology, Chinese Academy of Science, Kunming 650223, Yunnan Province, China
| | - Yu-Qi He
- Genome Center of Biodiversity, Kunming Institute of Zoology, Chinese Academy of Science, Kunming 650223, Yunnan Province, China
| | - Xiao-Lu Li
- Genome Center of Biodiversity, Kunming Institute of Zoology, Chinese Academy of Science, Kunming 650223, Yunnan Province, China
| | - Jiang Liu
- Department of Reproduction and Genetics, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan Province, China
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Bayrak CS, Forst C, Jones DR, Gresham D, Pushalkar S, Wu S, Vogel C, Mahal L, Ghedin E, Ross T, García-Sastre A, Zhang B. Patient Subtyping Analysis of Baseline Multi-omic Data Reveals Distinct Pre-immune States Predictive of Vaccination Responses. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.18.576213. [PMID: 38328256 PMCID: PMC10849502 DOI: 10.1101/2024.01.18.576213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Understanding the molecular mechanisms that underpin diverse vaccination responses is a critical step toward developing efficient vaccines. Molecular subtyping approaches can offer valuable insights into the heterogeneous nature of responses and aid in the design of more effective vaccines. In order to explore the molecular signatures associated with the vaccine response, we analyzed baseline transcriptomics data from paired samples of whole blood, proteomics and glycomics data from serum, and metabolomics data from urine, obtained from influenza vaccine recipients (2019-2020 season) prior to vaccination. After integrating the data using a network-based model, we performed a subtyping analysis. The integration of multiple data modalities from 62 samples resulted in five baseline molecular subtypes with distinct molecular signatures. These baseline subtypes differed in the expression of pre-existing adaptive or innate immunity signatures, which were linked to significant variation across subtypes in baseline immunoglobulin A (IgA) and hemagglutination inhibition (HAI) titer levels. It is worth noting that these significant differences persisted through day 28 post-vaccination, indicating the effect of initial immune state on vaccination response. These findings highlight the significance of interpersonal variation in baseline immune status as a crucial factor in determining vaccine response and efficacy. Ultimately, incorporating molecular profiling could enable personalized vaccine optimization.
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20
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Mancheno-Ferris A, Immarigeon C, Rivero A, Depierre D, Schickele N, Fosseprez O, Chanard N, Aughey G, Lhoumaud P, Anglade J, Southall T, Plaza S, Payre F, Cuvier O, Polesello C. Crosstalk between chromatin and Shavenbaby defines transcriptional output along the Drosophila intestinal stem cell lineage. iScience 2024; 27:108624. [PMID: 38174321 PMCID: PMC10762455 DOI: 10.1016/j.isci.2023.108624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 07/05/2023] [Accepted: 11/30/2023] [Indexed: 01/05/2024] Open
Abstract
The transcription factor Shavenbaby (Svb), the only member of the OvoL family in Drosophila, controls the fate of various epithelial embryonic cells and adult stem cells. Post-translational modification of Svb produces two protein isoforms, Svb-ACT and Svb-REP, which promote adult intestinal stem cell renewal or differentiation, respectively. To define Svb mode of action, we used engineered cell lines and develop an unbiased method to identify Svb target genes across different contexts. Within a given cell type, Svb-ACT and Svb-REP antagonistically regulate the expression of a set of target genes, binding specific enhancers whose accessibility is constrained by chromatin landscape. Reciprocally, Svb-REP can influence local chromatin marks of active enhancers to help repressing target genes. Along the intestinal lineage, the set of Svb target genes progressively changes, together with chromatin accessibility. We propose that Svb-ACT-to-REP transition promotes enterocyte differentiation of intestinal stem cells through direct gene regulation and chromatin remodeling.
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Affiliation(s)
- Alexandra Mancheno-Ferris
- Molecular, Cellular and Developmental biology department (MCD), Centre de Biologie Integrative (CBI), Université de Toulouse, CNRS, UPS, 31062 Toulouse, France
- Control of cell shape remodeling team, CBI, CNRS, UPS, 31062 Toulouse, France
| | - Clément Immarigeon
- Molecular, Cellular and Developmental biology department (MCD), Centre de Biologie Integrative (CBI), Université de Toulouse, CNRS, UPS, 31062 Toulouse, France
- Control of cell shape remodeling team, CBI, CNRS, UPS, 31062 Toulouse, France
| | - Alexia Rivero
- Molecular, Cellular and Developmental biology department (MCD), Centre de Biologie Integrative (CBI), Université de Toulouse, CNRS, UPS, 31062 Toulouse, France
- Control of cell shape remodeling team, CBI, CNRS, UPS, 31062 Toulouse, France
| | - David Depierre
- Molecular, Cellular and Developmental biology department (MCD), Centre de Biologie Integrative (CBI), Université de Toulouse, CNRS, UPS, 31062 Toulouse, France
- Chromatin Dynamics and Cell Proliferation team, CBI, CNRS, UPS, 31062 Toulouse, France
| | - Naomi Schickele
- Molecular, Cellular and Developmental biology department (MCD), Centre de Biologie Integrative (CBI), Université de Toulouse, CNRS, UPS, 31062 Toulouse, France
- Chromatin Dynamics and Cell Proliferation team, CBI, CNRS, UPS, 31062 Toulouse, France
| | - Olivier Fosseprez
- Molecular, Cellular and Developmental biology department (MCD), Centre de Biologie Integrative (CBI), Université de Toulouse, CNRS, UPS, 31062 Toulouse, France
- Chromatin Dynamics and Cell Proliferation team, CBI, CNRS, UPS, 31062 Toulouse, France
| | - Nicolas Chanard
- Molecular, Cellular and Developmental biology department (MCD), Centre de Biologie Integrative (CBI), Université de Toulouse, CNRS, UPS, 31062 Toulouse, France
- Chromatin Dynamics and Cell Proliferation team, CBI, CNRS, UPS, 31062 Toulouse, France
| | - Gabriel Aughey
- Imperial College London, Sir Ernst Chain Building, South Kensington Campus, London SW7 2AZ, UK
| | - Priscilla Lhoumaud
- Molecular, Cellular and Developmental biology department (MCD), Centre de Biologie Integrative (CBI), Université de Toulouse, CNRS, UPS, 31062 Toulouse, France
- Chromatin Dynamics and Cell Proliferation team, CBI, CNRS, UPS, 31062 Toulouse, France
- Institut Jacques Monod, Université Paris Cité/CNRS, 15 rue Hélène Brion, 75205 Paris Cedex 13, France
| | - Julien Anglade
- Molecular, Cellular and Developmental biology department (MCD), Centre de Biologie Integrative (CBI), Université de Toulouse, CNRS, UPS, 31062 Toulouse, France
- Chromatin Dynamics and Cell Proliferation team, CBI, CNRS, UPS, 31062 Toulouse, France
| | - Tony Southall
- Imperial College London, Sir Ernst Chain Building, South Kensington Campus, London SW7 2AZ, UK
| | - Serge Plaza
- Molecular, Cellular and Developmental biology department (MCD), Centre de Biologie Integrative (CBI), Université de Toulouse, CNRS, UPS, 31062 Toulouse, France
- Laboratoire de Recherche en Sciences Végétales, CNRS/UPS/INPT, 31320 Auzeville-Tolosane, France
| | - François Payre
- Molecular, Cellular and Developmental biology department (MCD), Centre de Biologie Integrative (CBI), Université de Toulouse, CNRS, UPS, 31062 Toulouse, France
- Control of cell shape remodeling team, CBI, CNRS, UPS, 31062 Toulouse, France
| | - Olivier Cuvier
- Molecular, Cellular and Developmental biology department (MCD), Centre de Biologie Integrative (CBI), Université de Toulouse, CNRS, UPS, 31062 Toulouse, France
- Chromatin Dynamics and Cell Proliferation team, CBI, CNRS, UPS, 31062 Toulouse, France
| | - Cédric Polesello
- Molecular, Cellular and Developmental biology department (MCD), Centre de Biologie Integrative (CBI), Université de Toulouse, CNRS, UPS, 31062 Toulouse, France
- Control of cell shape remodeling team, CBI, CNRS, UPS, 31062 Toulouse, France
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21
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Wang Q, Wang M, Choi I, Sarrafha L, Liang M, Ho L, Farrell K, Beaumont KG, Sebra R, De Sanctis C, Crary JF, Ahfeldt T, Blanchard J, Neavin D, Powell J, Davis DA, Sun X, Zhang B, Yue Z. Molecular profiling of human substantia nigra identifies diverse neuron types associated with vulnerability in Parkinson's disease. SCIENCE ADVANCES 2024; 10:eadi8287. [PMID: 38198537 PMCID: PMC10780895 DOI: 10.1126/sciadv.adi8287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 12/12/2023] [Indexed: 01/12/2024]
Abstract
Parkinson's disease (PD) is characterized pathologically by the loss of dopaminergic (DA) neurons in the substantia nigra (SN). Whether cell types beyond DA neurons in the SN show vulnerability in PD remains unclear. Through transcriptomic profiling of 315,867 high-quality single nuclei in the SN from individuals with and without PD, we identified cell clusters representing various neuron types, glia, endothelial cells, pericytes, fibroblasts, and T cells and investigated cell type-dependent alterations in gene expression in PD. Notably, a unique neuron cluster marked by the expression of RIT2, a PD risk gene, also displayed vulnerability in PD. We validated RIT2-enriched neurons in midbrain organoids and the mouse SN. Our results demonstrated distinct transcriptomic signatures of the RIT2-enriched neurons in the human SN and implicated reduced RIT2 expression in the pathogenesis of PD. Our study sheds light on the diversity of cell types, including DA neurons, in the SN and the complexity of molecular and cellular changes associated with PD pathogenesis.
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Affiliation(s)
- Qian Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
- Department of Neurology, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
| | - Minghui Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
| | - Insup Choi
- Department of Neurology, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
| | - Lily Sarrafha
- Department of Neurology, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
| | - Marianna Liang
- Department of Neurology, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
| | - Lap Ho
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
| | - Kurt Farrell
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
- Department of Pathology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
| | - Kristin G. Beaumont
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
| | - Robert Sebra
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
- Sema4, a Mount Sinai venture, Stamford, CT 06902, USA
| | - Claudia De Sanctis
- Neuropathology Brain Bank & Research CoRE, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
| | - John F. Crary
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
- Department of Pathology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
- Neuropathology Brain Bank & Research CoRE, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
- Department of Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, NY 10029, USA
| | - Tim Ahfeldt
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
- Ronald Loeb Alzheimer’s Disease Center, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
| | - Joel Blanchard
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
- Ronald Loeb Alzheimer’s Disease Center, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
| | - Drew Neavin
- Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute for Medical Research, 384 Victoria Street, Sydney 2010, Australia
| | - Joseph Powell
- Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute for Medical Research, 384 Victoria Street, Sydney 2010, Australia
- UNSW Cellular Genomics Futures Institute, University of New South Wales, Kensington, Sydney 2052, Australia
| | - David A. Davis
- Department of Neurology, Evelyn F. McKnight Brain Institute, Brain Endowment Bank, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Xiaoyan Sun
- Department of Neurology, Evelyn F. McKnight Brain Institute, Brain Endowment Bank, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Bin Zhang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
- Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
| | - Zhenyu Yue
- Department of Neurology, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
- The Center for Parkinson’s Disease Neurobiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029, USA
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22
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Roberts JA, Basu-Roy S, Shin J, Varma VR, Williamson A, Blackshear C, Griswold ME, Candia J, Elango P, Karikkineth AC, Tanaka T, Ferrucci L, Thambisetty M. Serum Proteomic Signatures of Common Health Outcomes among Older Adults. Gerontology 2024; 70:269-278. [PMID: 38219723 DOI: 10.1159/000534753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Accepted: 10/09/2023] [Indexed: 01/16/2024] Open
Abstract
INTRODUCTION In aging populations, the coexistence of multiple health comorbidities represents a significant challenge for clinicians and researchers. Leveraging advances in omics techniques to characterize these health conditions may provide insight into disease pathogenesis as well as reveal biomarkers for monitoring, prognostication, and diagnosis. Researchers have previously established the utility of big data approaches with respect to comprehensive health outcome measurements in younger populations, identifying protein markers that may provide significant health information with a single blood sample. METHODS Here, we employed a similar approach in two cohorts of older adults, the Baltimore Longitudinal Study of Aging (mean age = 76.12 years) and InCHIANTI Study (mean age = 66.05 years), examining the relationship between levels of serum proteins and 5 key health outcomes: kidney function, fasting glucose, physical activity, lean body mass, and percent body fat. RESULTS Correlations between proteins and health outcomes were primarily shared across both older adult cohorts. We further identified that most proteins associated with health outcomes in the older adult cohorts were not associated with the same outcomes in a prior study of a younger population. A subset of proteins, adiponectin, MIC-1, and NCAM-120, were associated with at least three health outcomes in both older adult cohorts but not in the previously published younger cohort, suggesting that they may represent plausible markers of general health in older adult populations. CONCLUSION Taken together, these findings suggest that comprehensive protein health markers have utility in aging populations and are distinct from those identified in younger adults, indicating unique mechanisms of disease with aging.
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Affiliation(s)
- Jackson A Roberts
- Clinical and Translational Neuroscience Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA,
- Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA,
| | - Sayantani Basu-Roy
- Clinical and Translational Neuroscience Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA
| | - Jong Shin
- Clinical and Translational Neuroscience Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA
| | - Vijay R Varma
- Clinical and Translational Neuroscience Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA
| | - Andrew Williamson
- Clinical and Translational Neuroscience Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA
| | - Chad Blackshear
- University of Mississippi Medical Center, Jackson, Mississippi, USA
| | | | - Julián Candia
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA
| | - Palchamy Elango
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA
| | - Ajoy C Karikkineth
- Clinical Research Core, National Institute on Aging, National Institutes of Health Intramural Research Program, Baltimore, Maryland, USA
| | - Toshiko Tanaka
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA
| | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA
| | - Madhav Thambisetty
- Clinical and Translational Neuroscience Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA
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23
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Wang E, Pan AL, Bagchi P, Rangaraju S, Seyfried NT, Ehrlich ME, Salton SR, Zhang B. Proteomic Signaling of Dual-Specificity Phosphatase 4 (DUSP4) in Alzheimer's Disease. Biomolecules 2024; 14:66. [PMID: 38254666 PMCID: PMC10813059 DOI: 10.3390/biom14010066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 12/22/2023] [Accepted: 12/27/2023] [Indexed: 01/24/2024] Open
Abstract
DUSP4 is a member of the DUSP (dual-specificity phosphatase) subfamily that is selective to the mitogen-activated protein kinases (MAPK) and has been implicated in a range of biological processes and functions in Alzheimer's disease (AD). In this study, we utilized the stereotactic delivery of adeno-associated virus (AAV)-DUSP4 to overexpress DUSP4 in the dorsal hippocampus of 5xFAD and wildtype (WT) mice, then used mass spectrometry (MS)-based proteomics along with the label-free quantification to profile the proteome and phosphoproteome in the hippocampus. We identified protein expression and phosphorylation patterns modulated in 5xFAD mice and examined the sex-specific impact of DUSP4 overexpression on the 5xFAD proteome/phosphoproteome. In 5xFAD mice, a substantial number of proteins were up- or down-regulated in both male and female mice in comparison to age and sex-matched WT mice, many of which are involved in AD-related biological processes, such as activated immune response or suppressed synaptic activities. Many proteins in pathways, such as immune response were found to be suppressed in response to DUSP4 overexpression in male 5xFAD mice. In contrast, such a shift was absent in female mice. For the phosphoproteome, we detected an array of phosphorylation sites regulated in 5xFAD compared to WT and modulated via DUSP4 overexpression in each sex. Interestingly, 5xFAD- and DUSP4-associated phosphorylation changes occurred in opposite directions. Strikingly, both the 5xFAD- and DUSP4-associated phosphorylation changes were found to be mostly in neurons and play key roles in neuronal processes and synaptic functions. Site-centric pathway analysis revealed that both the 5xFAD- and DUSP4-associated phosphorylation sites were enriched for a number of kinase sets in females but only a limited number of sets of kinases in male mice. Taken together, our results suggest that male and female 5xFAD mice responded to DUSP4 overexpression via shared and sex-specific molecular mechanisms, which might underly similar reductions in amyloid pathology in both sexes while learning deficits were reduced in only females with DUSP4 overexpression. Finally, we validated our findings with the sex-specific AD-associated proteomes in human cohorts and further developed DUSP4-centric proteomic network models and signaling maps for each sex.
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Affiliation(s)
- Erming Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA; (E.W.)
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Allen L. Pan
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
| | - Pritha Bagchi
- Department of Biochemistry, Emory Integrated Proteomics Core, Emory University School of Medicine, 1510 Clifton Rd NE, Atlanta, GA 30329, USA
| | - Srikant Rangaraju
- Department of Neurology, Emory University School of Medicine, 100 Woodruff Circle, Atlanta, GA 30322, USA
| | - Nicholas T. Seyfried
- Department of Biochemistry, Emory Integrated Proteomics Core, Emory University School of Medicine, 1510 Clifton Rd NE, Atlanta, GA 30329, USA
| | - Michelle E. Ehrlich
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA; (E.W.)
- Departments of Neurology and Pediatrics, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
| | - Stephen R. Salton
- Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, 1425 Madison Avenue, New York, NY 10029, USA
- Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Bin Zhang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA; (E.W.)
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
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24
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Xu DC, Sas-Nowosielska H, Donahue G, Huang H, Pourshafie N, Good CR, Berger SL. Histone acetylation in an Alzheimer's disease cell model promotes homeostatic amyloid-reducing pathways. Acta Neuropathol Commun 2024; 12:3. [PMID: 38167174 PMCID: PMC10759377 DOI: 10.1186/s40478-023-01696-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 11/21/2023] [Indexed: 01/05/2024] Open
Abstract
Alzheimer's Disease (AD) is a disorder characterized by cognitive decline, neurodegeneration, and accumulation of amyloid plaques and tau neurofibrillary tangles in the brain. Dysregulation of epigenetic histone modifications may lead to expression of transcriptional programs that play a role either in protecting against disease genesis or in worsening of disease pathology. One such histone modification, acetylation of histone H3 lysine residue 27 (H3K27ac), is primarily localized to genomic enhancer regions and promotes active gene transcription. We previously discovered H3K27ac to be more abundant in AD patient brain tissue compared to the brains of age-matched non-demented controls. In this study, we use iPSC-neurons derived from familial AD patients with an amyloid precursor protein (APP) duplication (APPDup neurons) as a model to study the functional effect of lowering CBP/P300 enzymes that catalyze H3K27ac. We found that homeostatic amyloid-reducing genes were upregulated in the APPDup neurons compared to non-demented controls. We lowered CBP/P300 to reduce H3K27ac, which led to decreased expression of numerous of these homeostatic amyloid-reducing genes, along with increased extracellular secretion of a toxic amyloid-β species, Aβ(1-42). Our findings suggest that epigenomic histone acetylation, including H3K27ac, drives expression of compensatory genetic programs in response to AD-associated insults, specifically those resulting from APP duplication, and thus may play a role in mitigating AD pathology in neurons.
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Affiliation(s)
- Daniel C Xu
- Department of Cell and Developmental Biology, Perelman School of Medicine Philadelphia, Penn Institute of Epigenetics, Philadelphia, PA, 19104, USA
| | - Hanna Sas-Nowosielska
- Department of Cell and Developmental Biology, Perelman School of Medicine Philadelphia, Penn Institute of Epigenetics, Philadelphia, PA, 19104, USA
| | - Greg Donahue
- Department of Cell and Developmental Biology, Perelman School of Medicine Philadelphia, Penn Institute of Epigenetics, Philadelphia, PA, 19104, USA
| | - Hua Huang
- Department of Cell and Developmental Biology, Perelman School of Medicine Philadelphia, Penn Institute of Epigenetics, Philadelphia, PA, 19104, USA
| | - Naemeh Pourshafie
- Department of Cell and Developmental Biology, Perelman School of Medicine Philadelphia, Penn Institute of Epigenetics, Philadelphia, PA, 19104, USA
| | - Charly R Good
- Department of Cell and Developmental Biology, Perelman School of Medicine Philadelphia, Penn Institute of Epigenetics, Philadelphia, PA, 19104, USA
| | - Shelley L Berger
- Department of Cell and Developmental Biology, Perelman School of Medicine Philadelphia, Penn Institute of Epigenetics, Philadelphia, PA, 19104, USA.
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25
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Biales AD, Bencic DC, Flick RW, Toth GP. Effects of Age and Exposure Duration on the Sensitivity of Early Life Stage Fathead Minnow (Pimephales promelas) to Waterborne Propranolol Exposure. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2023. [PMID: 38146914 DOI: 10.1002/etc.5814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 11/22/2023] [Accepted: 12/19/2023] [Indexed: 12/27/2023]
Abstract
Propranolol is a heavily prescribed, nonspecific beta-adrenoceptor (bAR) antagonist frequently found in wastewater effluents, prompting concern over its potential to adversely affect exposed organisms. In the present study, the transcriptional responses of 4, 5, and 6 days postfertilization (dpf) ±1 h fathead minnow, exposed for 6, 24, or 48 h to 0.66 or 3.3 mg/L (nominal) propranolol were characterized using RNA sequencing. The number of differentially expressed genes (DEGs) was used as an estimate of sensitivity. A trend toward increased sensitivity with age was observed; fish >7 dpf at the end of exposure were particularly sensitive to propranolol. The DEGs largely overlapped among treatment groups, suggesting a highly consistent response that was independent of age. Cluster analysis was performed using normalized count data for unexposed and propranolol-exposed fish. Control fish clustered tightly by age, with fish ≥7 dpf clustering away from younger fish, reflecting developmental differences. When clustering was conducted using exposed fish, in cases where propranolol induced a minimal or no transcriptional response, the results mirrored those of the control fish and did not appreciably cluster by treatment. In treatment groups that displayed a more robust transcriptional response, the effects of propranolol were evident; however, fish <7 dpf clustered away from older fish, despite having similar numbers of DEGs. Increased sensitivity at 7 dpf coincided with developmental milestones with the potential to alter propranolol pharmacokinetics or pharmacodynamics, such as the onset of exogenous feeding and gill functionality as well as increased systemic expression of bAR. These results may have broader implications because toxicity testing often utilizes fish <4 dpf, prior to the onset of these potentially important developmental milestones, which may result in an underestimation of risk for some chemicals. Environ Toxicol Chem 2024;00:1-14. Published 2023. This article is a U.S. Government work and is in the public domain in the USA.
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Affiliation(s)
- Adam D Biales
- Center for Computational Toxicology and Chemistry, US Environmental Protection Agency, Cincinnati, Ohio
| | - David C Bencic
- Center for Computational Toxicology and Chemistry, US Environmental Protection Agency, Cincinnati, Ohio
| | - Robert W Flick
- Center for Computational Toxicology and Chemistry, US Environmental Protection Agency, Cincinnati, Ohio
| | - Gregory P Toth
- Center for Computational Toxicology and Chemistry, US Environmental Protection Agency, Cincinnati, Ohio
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26
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Song WM, Elmas A, Farias R, Xu P, Zhou X, Hopkins B, Huang KL, Zhang B. Multiscale protein networks systematically identify aberrant protein interactions and oncogenic regulators in seven cancer types. J Hematol Oncol 2023; 16:120. [PMID: 38102665 PMCID: PMC10724946 DOI: 10.1186/s13045-023-01517-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 12/01/2023] [Indexed: 12/17/2023] Open
Abstract
Global proteomic data generated by advanced mass spectrometry (MS) technologies can help bridge the gap between genome/transcriptome and functions and hold great potential in elucidating unbiased functional models of pro-tumorigenic pathways. To this end, we collected the high-throughput, whole-genome MS data and conducted integrative proteomic network analyses of 687 cases across 7 cancer types including breast carcinoma (115 tumor samples; 10,438 genes), clear cell renal carcinoma (100 tumor samples; 9,910 genes), colorectal cancer (91 tumor samples; 7,362 genes), hepatocellular carcinoma (101 tumor samples; 6,478 genes), lung adenocarcinoma (104 tumor samples; 10,967 genes), stomach adenocarcinoma (80 tumor samples; 9,268 genes), and uterine corpus endometrial carcinoma UCEC (96 tumor samples; 10,768 genes). Through the protein co-expression network analysis, we identified co-expressed protein modules enriched for differentially expressed proteins in tumor as disease-associated pathways. Comparison with the respective transcriptome network models revealed proteome-specific cancer subnetworks associated with heme metabolism, DNA repair, spliceosome, oxidative phosphorylation and several oncogenic signaling pathways. Cross-cancer comparison identified highly preserved protein modules showing robust pan-cancer interactions and identified endoplasmic reticulum-associated degradation (ERAD) and N-acetyltransferase activity as the central functional axes. We further utilized these network models to predict pan-cancer protein regulators of disease-associated pathways. The top predicted pan-cancer regulators including RSL1D1, DDX21 and SMC2, were experimentally validated in lung, colon, breast cancer and fetal kidney cells. In summary, this study has developed interpretable network models of cancer proteomes, showcasing their potential in unveiling novel oncogenic regulators, elucidating underlying mechanisms, and identifying new therapeutic targets.
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Affiliation(s)
- Won-Min Song
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1425 Madison Avenue, New York, NY, 10029, USA
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA
| | - Abdulkadir Elmas
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1425 Madison Avenue, New York, NY, 10029, USA
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA
| | - Richard Farias
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1425 Madison Avenue, New York, NY, 10029, USA
- Department of Physiology and Biophysics, The Englander Institute for Precision Medicine, Weill Cornel Medicine, New York, NY, 10065, USA
| | - Peng Xu
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1425 Madison Avenue, New York, NY, 10029, USA
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA
| | - Xianxiao Zhou
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1425 Madison Avenue, New York, NY, 10029, USA
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA
| | - Benjamin Hopkins
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1425 Madison Avenue, New York, NY, 10029, USA.
- Department of Physiology and Biophysics, The Englander Institute for Precision Medicine, Weill Cornel Medicine, New York, NY, 10065, USA.
| | - Kuan-Lin Huang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1425 Madison Avenue, New York, NY, 10029, USA.
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
| | - Bin Zhang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, 1425 Madison Avenue, New York, NY, 10029, USA.
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
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27
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Berl A, Shir-az O, Genish I, Biran H, Mann D, Singh A, Wise J, Kravtsov V, Kidron D, Golberg A, Vitkin E, Yakhini Z, Shalom A. Exploring multisite heterogeneity of human basal cell carcinoma proteome and transcriptome. PLoS One 2023; 18:e0293744. [PMID: 37948379 PMCID: PMC10637653 DOI: 10.1371/journal.pone.0293744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 10/18/2023] [Indexed: 11/12/2023] Open
Abstract
Basal cell carcinoma (BCC) is the most common type of skin cancer. Due to multiple, potential underlying molecular tumor aberrations, clinical treatment protocols are not well-defined. This study presents multisite molecular heterogeneity profiles of human BCC based on RNA and proteome profiling. Three areas from lesions excised from 9 patients were analyzed. The focus was gene expression profiles based on proteome and RNA measurements of intra-tumor heterogeneity from the same patient and inter-tumor heterogeneity in nodular, infiltrative, and superficial BCC tumor subtypes from different patients. We observed significant overlap in intra- and inter-tumor variability of proteome and RNA expression profiles, showing significant multisite heterogeneity of protein expression in the BCC tumors. Inter-subtype analysis has also identified unique proteins for each BCC subtype. This profiling leads to a deeper understanding of BCC molecular heterogeneity and potentially contributes to developing new sampling tools for personalized diagnostics therapeutic approaches to BCC.
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Affiliation(s)
- Ariel Berl
- Department of Plastic Surgery, Meir Medical Center, Kfar Sava, Israel, Affiliated with the Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ofir Shir-az
- Department of Plastic Surgery, Meir Medical Center, Kfar Sava, Israel, Affiliated with the Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ilai Genish
- Efi Arazi School of Computer Science, Reichman University, Herzliya, Israel
| | - Hadas Biran
- Department of Computer Science, Technion - Israel Institute of Technology, Haifa, Israel
| | - Din Mann
- Department of Plastic Surgery, Meir Medical Center, Kfar Sava, Israel, Affiliated with the Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Amrita Singh
- Department of Environmental Studies, Porter School of Environment and Earth Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Julia Wise
- Department of Environmental Studies, Porter School of Environment and Earth Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Vladimir Kravtsov
- Department of Pathology, Meir Medical Center, Kfar Sava, Israel, Affiliated with the Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Debora Kidron
- Department of Pathology, Meir Medical Center, Kfar Sava, Israel, Affiliated with the Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Alexander Golberg
- Department of Environmental Studies, Porter School of Environment and Earth Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Edward Vitkin
- Efi Arazi School of Computer Science, Reichman University, Herzliya, Israel
| | - Zohar Yakhini
- Efi Arazi School of Computer Science, Reichman University, Herzliya, Israel
- Department of Computer Science, Technion - Israel Institute of Technology, Haifa, Israel
| | - Avshalom Shalom
- Department of Plastic Surgery, Meir Medical Center, Kfar Sava, Israel, Affiliated with the Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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28
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Wu B, Gao X, Hu M, Hu J, Lan T, Xue T, Xu W, Zhu C, Yuan Y, Zheng J, Qin T, Xin P, Li Y, Gong L, Feng C, He S, Liu H, Li H, Wang Q, Ma Z, Qiu Q, Wang K. Distinct and shared endothermic strategies in the heat producing tissues of tuna and other teleosts. SCIENCE CHINA. LIFE SCIENCES 2023; 66:2629-2645. [PMID: 37273070 DOI: 10.1007/s11427-022-2312-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 02/28/2023] [Indexed: 06/06/2023]
Abstract
Although most fishes are ectothermic, some, including tuna and billfish, achieve endothermy through specialized heat producing tissues that are modified muscles. How these heat producing tissues evolved, and whether they share convergent molecular mechanisms, remain unresolved. Here, we generated a high-quality genome from the mackerel tuna (Euthynnus affinis) and investigated the heat producing tissues of this fish by single-nucleus and bulk RNA sequencing. Compared with other teleosts, tuna-specific genetic variation is strongly associated with muscle differentiation. Single-nucleus RNA-seq revealed a high proportion of specific slow skeletal muscle cell subtypes in the heat producing tissues of tuna. Marker genes of this cell subtype are associated with the relative sliding of actin and myosin, suggesting that tuna endothermy is mainly based on shivering thermogenesis. In contrast, cross-species transcriptome analysis indicated that endothermy in billfish relies mainly on non-shivering thermogenesis. Nevertheless, the heat producing tissues of the different species do share some tissue-specific genes, including vascular-related and mitochondrial genes. Overall, although tunas and billfishes differ in their thermogenic strategies, they share similar expression patterns in some respects, highlighting the complexity of convergent evolution.
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Affiliation(s)
- Baosheng Wu
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Xueli Gao
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Mingling Hu
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Jing Hu
- South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, 510300, China
| | - Tianming Lan
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, 518083, China
- BGI Life Science Joint Research Center, Northeast Forestry University, Harbin, 150006, China
| | - Tingfeng Xue
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Wenjie Xu
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Chenglong Zhu
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Yuan Yuan
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Jiangmin Zheng
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Tao Qin
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Peidong Xin
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Ye Li
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Li Gong
- National Engineering Laboratory of Marine Germplasm Resources Exploration and Utilization, Marine Science and Technology College, Zhejiang Ocean University, Zhoushan, 316022, China
| | - Chenguang Feng
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, 710072, China
| | - Shunping He
- Institute of Deep-Sea Science and Engineering, Chinese Academy of Sciences, Sanya, 572000, China
- The Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
| | - Huan Liu
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, 518083, China
- BGI Life Science Joint Research Center, Northeast Forestry University, Harbin, 150006, China
| | - Haimeng Li
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qing Wang
- State Key Laboratory of Agricultural Genomics, BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhenhua Ma
- South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, 510300, China.
| | - Qiang Qiu
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, 710072, China.
| | - Kun Wang
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, 710072, China.
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29
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Wang E, Pan AL, Bagchi P, Ranjaraju S, Seyfried NT, Ehrlich ME, Salton SR, Zhang B. Proteomic signaling of dual specificity phosphatase 4 (DUSP4) in Alzheimer's disease. RESEARCH SQUARE 2023:rs.3.rs-3453503. [PMID: 37886598 PMCID: PMC10602176 DOI: 10.21203/rs.3.rs-3453503/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
DUSP4 is a member of the DUSP (Dual-Specificity Phosphatase) subfamily that is selective to the mitogen-activated protein kinases (MAPK) and has been implicated in a range of biological processes and functions in Alzheimer's disease (AD). In this study, we utilized stereotactic delivery of adeno-associated virus (AAV)-DUSP4 to overexpress DUSP4 in the dorsal hippocampus of 5xFAD and wildtype (WT) mice, then used mass spectrometry (MS)-based proteomics along with label-free quantification to profile the proteome and phosphoproteome in the hippocampus. We identified patterns of protein expression and phosphorylation that are modulated in 5xFAD mice and examined the sex-specific impact of DUSP4 overexpression on the 5xFAD proteome/phosphoproteome. In 5xFAD mice, a substantial number of proteins were up- or down-regulated in both male and female mice in comparison to age and sex-matched WT mice, many of which are involved in AD-related biological processes, such as the activated immune response or suppression of synaptic activities. Upon DUSP4 overexpression, significantly regulated proteins were found in pathways that were suppressed, such as the immune response, in male 5xFAD mice. In contrast, such a shift was absent in female mice. For the phosphoproteome, we detected an array of phosphorylation sites that are regulated in 5xFAD compared to WT, and are modulated by DUSP4 overexpression in each sex. Interestingly, the changes in 5xFAD- and DUSP4-associated phosphorylation occurred in opposite directions. Strikingly, both the 5xFAD- and DUSP4-associated phosphorylation changes were found for the most part in neurons, and play key roles in neuronal processes and synaptic function. Site-centric pathway analysis revealed that both the 5xFAD- and DUSP4-associated phosphorylation sites were enriched for a number of kinase sets in female, but only a limited number of sets of kinases in male mice. Taken together, our results suggest that male and female 5xFAD mice respond to DUSP4 overexpression via shared and sex-specific molecular mechanisms, which might underly similar reductions in amyloid pathology in both sexes, while learning deficits were reduced in only females with DUSP4 overexpression. Finally, we validated our findings with the sex-specific AD-associated proteomes in human cohorts and further developed DUSP4-centric proteomic network models and signaling maps for each sex.
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Affiliation(s)
| | | | | | | | | | | | | | - Bin Zhang
- Icahn School of Medicine at Mount Sinai
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30
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Garcia-Vaquero ML, Heim M, Flix B, Pereira M, Palin L, Marques TM, Pinto FR, de Las Rivas J, Voigt A, Besse F, Gama-Carvalho M. Analysis of asymptomatic Drosophila models for ALS and SMA reveals convergent impact on functional protein complexes linked to neuro-muscular degeneration. BMC Genomics 2023; 24:576. [PMID: 37759179 PMCID: PMC10523761 DOI: 10.1186/s12864-023-09562-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Accepted: 08/08/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND Spinal Muscular Atrophy (SMA) and Amyotrophic Lateral Sclerosis (ALS) share phenotypic and molecular commonalities, including the fact that they can be caused by mutations in ubiquitous proteins involved in RNA metabolism, namely SMN, TDP-43 and FUS. Although this suggests the existence of common disease mechanisms, there is currently no model to explain the resulting motor neuron dysfunction. In this work we generated a parallel set of Drosophila models for adult-onset RNAi and tagged neuronal expression of the fly orthologues of the three human proteins, named Smn, TBPH and Caz, respectively. We profiled nuclear and cytoplasmic bound mRNAs using a RIP-seq approach and characterized the transcriptome of the RNAi models by RNA-seq. To unravel the mechanisms underlying the common functional impact of these proteins on neuronal cells, we devised a computational approach based on the construction of a tissue-specific library of protein functional modules, selected by an overall impact score measuring the estimated extent of perturbation caused by each gene knockdown. RESULTS Transcriptome analysis revealed that the three proteins do not bind to the same RNA molecules and that only a limited set of functionally unrelated transcripts is commonly affected by their knock-down. However, through our integrative approach we were able to identify a concerted effect on protein functional modules, albeit acting through distinct targets. Most strikingly, functional annotation revealed that these modules are involved in critical cellular pathways for motor neurons, including neuromuscular junction function. Furthermore, selected modules were found to be significantly enriched in orthologues of human neuronal disease genes. CONCLUSIONS The results presented here show that SMA and ALS disease-associated genes linked to RNA metabolism functionally converge on neuronal protein complexes, providing a new hypothesis to explain the common motor neuron phenotype. The functional modules identified represent promising biomarkers and therapeutic targets, namely given their alteration in asymptomatic settings.
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Affiliation(s)
- Marina L Garcia-Vaquero
- BioISI - Institute for Biosystems and Integrative Sciences, Faculty of Sciences, University of Lisbon, 1749-016, Lisbon, Portugal
- Department of Medicine and Cytometry General Service-15 Nucleus, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), CIBERONC, 16 37007, Salamanca, Spain
| | - Marjorie Heim
- Institut de Biologie Valrose, Université Côte d'Azur, CNRS, 06108, Nice, Inserm, France
| | - Barbara Flix
- Department of Neurology, Medical Faculty, RWTH Aachen University, 52074, Aachen, Germany
| | - Marcelo Pereira
- BioISI - Institute for Biosystems and Integrative Sciences, Faculty of Sciences, University of Lisbon, 1749-016, Lisbon, Portugal
| | - Lucile Palin
- Institut de Biologie Valrose, Université Côte d'Azur, CNRS, 06108, Nice, Inserm, France
| | - Tânia M Marques
- BioISI - Institute for Biosystems and Integrative Sciences, Faculty of Sciences, University of Lisbon, 1749-016, Lisbon, Portugal
| | - Francisco R Pinto
- BioISI - Institute for Biosystems and Integrative Sciences, Faculty of Sciences, University of Lisbon, 1749-016, Lisbon, Portugal
| | - Javier de Las Rivas
- Cancer Research Center (CiC-IBMCC, CSIC/USAL/IBSAL), Consejo Superior de Investigaciones Científicas (CSIC) and University of Salamanca (USAL), 37007, Salamanca, Spain
| | - Aaron Voigt
- Department of Neurology, Medical Faculty, RWTH Aachen University, 52074, Aachen, Germany
- JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Forschungszentrum Jülich GmbH RWTH Aachen University, 52074, Aachen, Germany
| | - Florence Besse
- Institut de Biologie Valrose, Université Côte d'Azur, CNRS, 06108, Nice, Inserm, France
| | - Margarida Gama-Carvalho
- BioISI - Institute for Biosystems and Integrative Sciences, Faculty of Sciences, University of Lisbon, 1749-016, Lisbon, Portugal.
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Wang E, Pan AL, Bagchi P, Ranjaraju S, Seyfried NT, Ehrlich ME, Salton SR, Zhang B. Proteomic signaling of dual specificity phosphatase 4 (DUSP4) in Alzheimer's disease. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.13.557390. [PMID: 37745468 PMCID: PMC10515873 DOI: 10.1101/2023.09.13.557390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
DUSP4 is a member of the DUSP (Dual-Specificity Phosphatase) subfamily that is selective to the mitogen-activated protein kinases (MAPK) and has been implicated in a range of biological processes and functions in Alzheimer's disease (AD). In this study, we utilized stereotactic delivery of adeno-associated virus (AAV)-DUSP4 to overexpress DUSP4 in the dorsal hippocampus of 5×FAD and wildtype (WT) mice, then used mass spectrometry (MS)-based proteomics along with label-free quantification to profile the proteome and phosphoproteome in the hippocampus. We identified patterns of protein expression and phosphorylation that are modulated in 5×FAD mice and examined the sex-specific impact of DUSP4 overexpression on the 5×FAD proteome/phosphoproteome. In 5×FAD mice, a substantial number of proteins were up- or down-regulated in both male and female mice in comparison to age and sex-matched WT mice, many of which are involved in AD-related biological processes, such as the activated immune response or suppression of synaptic activities. Upon DUSP4 overexpression, significantly regulated proteins were found in pathways that were suppressed, such as the immune response, in male 5×FAD mice. In contrast, such a shift was absent in female mice. For the phosphoproteome, we detected an array of phosphorylation sites that are regulated in 5×FAD compared to WT, and are modulated by DUSP4 overexpression in each sex. Interestingly, the changes in 5×FAD- and DUSP4-associated phosphorylation occurred in opposite directions. Strikingly, both the 5×FAD- and DUSP4-associated phosphorylation changes were found for the most part in neurons, and play key roles in neuronal processes and synaptic function. Site-centric pathway analysis revealed that both the 5×FAD- and DUSP4-associated phosphorylation sites were enriched for a number of kinase sets in female, but only a limited number of sets of kinases in male mice. Taken together, our results suggest that male and female 5×FAD mice respond to DUSP4 overexpression via shared and sex-specific molecular mechanisms, which might underly similar reductions in amyloid pathology in both sexes, while learning deficits were reduced in only females with DUSP4 overexpression. Finally, we validated our findings with the sex-specific AD-associated proteomes in human cohorts and further developed DUSP4-centric proteomic network models and signaling maps for each sex.
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Szukala A, Bertel C, Frajman B, Schönswetter P, Paun O. Parallel adaptation to lower altitudes is associated with enhanced plasticity in Heliosperma pusillum (Caryophyllaceae). THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2023; 115:1619-1632. [PMID: 37277969 PMCID: PMC10952512 DOI: 10.1111/tpj.16342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 05/26/2023] [Accepted: 06/01/2023] [Indexed: 06/07/2023]
Abstract
High levels of phenotypic plasticity are thought to be inherently costly in stable or extreme environments, but enhanced plasticity may evolve as a response to new environments and foster novel phenotypes. Heliosperma pusillum forms glabrous alpine and pubescent montane ecotypes that diverged recurrently and polytopically (parallel evolution) and can serve as evolutionary replicates. The specific alpine and montane localities are characterized by distinct temperature conditions, available moisture, and light. Noteworthy, the ecotypes show a home-site fitness advantage in reciprocal transplantations. To disentangle the relative contribution of constitutive versus plastic gene expression to altitudinal divergence, we analyze the transcriptomic profiles of two parallely evolved ecotype pairs, grown in reciprocal transplantations at native altitudinal sites. In this incipient stage of divergence, only a minor proportion of genes appear constitutively differentially expressed between the ecotypes in both pairs, regardless of the growing environment. Both derived, montane populations bear comparatively higher plasticity of gene expression than the alpine populations. Genes that change expression plastically or constitutively underlie similar ecologically relevant pathways, related to response to drought and trichome formation. Other relevant processes, such as photosynthesis, rely mainly on plastic changes. The enhanced plasticity consistently observed in the montane ecotype likely evolved as a response to the newly colonized, drier, and warmer niche. We report a striking parallelism of directional changes in gene expression plasticity. Thus, plasticity appears to be a key mechanism shaping the initial stages of phenotypic evolution, likely fostering adaptation to novel environments.
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Affiliation(s)
- Aglaia Szukala
- Department of Botany and Biodiversity ResearchUniversity of ViennaRennweg 14A‐1030ViennaAustria
- Vienna Graduate School of Population GeneticsViennaAustria
- Austrian Federal Research Centre for Forests (BFW)Unit of Ecological GeneticsSeckendorff‐Gudent‐Weg 8A‐1131ViennaAustria
| | - Clara Bertel
- Department of BotanyUniversity of InnsbruckInnsbruckAustria
| | - Božo Frajman
- Department of BotanyUniversity of InnsbruckInnsbruckAustria
| | | | - Ovidiu Paun
- Department of Botany and Biodiversity ResearchUniversity of ViennaRennweg 14A‐1030ViennaAustria
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Roy R, Kuo PL, Candia J, Sarantopoulou D, Ubaida-Mohien C, Hernandez D, Kaileh M, Arepalli S, Singh A, Bektas A, Kim J, Moore AZ, Tanaka T, McKelvey J, Zukley L, Nguyen C, Wallace T, Dunn C, Wood W, Piao Y, Coletta C, De S, Sen J, Weng NP, Sen R, Ferrucci L. Epigenetic signature of human immune aging in the GESTALT study. eLife 2023; 12:e86136. [PMID: 37589453 PMCID: PMC10506794 DOI: 10.7554/elife.86136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 08/16/2023] [Indexed: 08/18/2023] Open
Abstract
Age-associated DNA methylation in blood cells convey information on health status. However, the mechanisms that drive these changes in circulating cells and their relationships to gene regulation are unknown. We identified age-associated DNA methylation sites in six purified blood-borne immune cell types (naive B, naive CD4+ and CD8+ T cells, granulocytes, monocytes, and NK cells) collected from healthy individuals interspersed over a wide age range. Of the thousands of age-associated sites, only 350 sites were differentially methylated in the same direction in all cell types and validated in an independent longitudinal cohort. Genes close to age-associated hypomethylated sites were enriched for collagen biosynthesis and complement cascade pathways, while genes close to hypermethylated sites mapped to neuronal pathways. In silico analyses showed that in most cell types, the age-associated hypo- and hypermethylated sites were enriched for ARNT (HIF1β) and REST transcription factor (TF) motifs, respectively, which are both master regulators of hypoxia response. To conclude, despite spatial heterogeneity, there is a commonality in the putative regulatory role with respect to TF motifs and histone modifications at and around these sites. These features suggest that DNA methylation changes in healthy aging may be adaptive responses to fluctuations of oxygen availability.
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Affiliation(s)
- Roshni Roy
- Laboratory of Molecular Biology and Immunology, National Institute on AgingBaltimoreUnited States
| | - Pei-Lun Kuo
- Translational Gerontology Branch, National Institute on AgingBaltimoreUnited States
| | - Julián Candia
- Translational Gerontology Branch, National Institute on AgingBaltimoreUnited States
| | - Dimitra Sarantopoulou
- Laboratory of Molecular Biology and Immunology, National Institute on AgingBaltimoreUnited States
| | | | - Dena Hernandez
- Laboratory of Neurogenetics, National Institute on AgingBethesdaUnited States
| | - Mary Kaileh
- Laboratory of Molecular Biology and Immunology, National Institute on AgingBaltimoreUnited States
| | - Sampath Arepalli
- Laboratory of Neurogenetics, National Institute on AgingBethesdaUnited States
| | - Amit Singh
- Laboratory of Molecular Biology and Immunology, National Institute on AgingBaltimoreUnited States
| | - Arsun Bektas
- Translational Gerontology Branch, National Institute on AgingBaltimoreUnited States
| | - Jaekwan Kim
- Laboratory of Molecular Biology and Immunology, National Institute on AgingBaltimoreUnited States
| | - Ann Z Moore
- Translational Gerontology Branch, National Institute on AgingBaltimoreUnited States
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on AgingBaltimoreUnited States
| | - Julia McKelvey
- Clinical Research Core, National Institute on AgingBaltimoreUnited States
| | - Linda Zukley
- Clinical Research Core, National Institute on AgingBaltimoreUnited States
| | - Cuong Nguyen
- Flow Cytometry Unit, National Institute on AgingBaltimoreUnited States
| | - Tonya Wallace
- Flow Cytometry Unit, National Institute on AgingBaltimoreUnited States
| | - Christopher Dunn
- Flow Cytometry Unit, National Institute on AgingBaltimoreUnited States
| | - William Wood
- Laboratory of Genetics and Genomics, National Institute on AgingBaltimoreUnited States
| | - Yulan Piao
- Laboratory of Genetics and Genomics, National Institute on AgingBaltimoreUnited States
| | - Christopher Coletta
- Laboratory of Genetics and Genomics, National Institute on AgingBaltimoreUnited States
| | - Supriyo De
- Laboratory of Genetics and Genomics, National Institute on AgingBaltimoreUnited States
| | - Jyoti Sen
- Laboratory of Clinical Investigation, National Institute on AgingBaltimoreUnited States
| | - Nan-ping Weng
- Laboratory of Molecular Biology and Immunology, National Institute on AgingBaltimoreUnited States
| | - Ranjan Sen
- Laboratory of Molecular Biology and Immunology, National Institute on AgingBaltimoreUnited States
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on AgingBaltimoreUnited States
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Rudzinskas SA, Goff AC, Mazzu MA, Schiller CE, Meltzer-Brody S, Rubinow DR, Schmidt PJ, Goldman D. Intrinsically dysregulated cellular stress signaling genes and gene networks in postpartum depression. Mol Psychiatry 2023; 28:3023-3032. [PMID: 36782063 PMCID: PMC10507674 DOI: 10.1038/s41380-023-01985-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 01/18/2023] [Accepted: 01/25/2023] [Indexed: 02/15/2023]
Abstract
Postpartum depression (PPD) is a leading cause of morbidity and mortality among women. Clinically, the administration and withdrawal of supraphysiologic estradiol and progesterone (E2 + P) can cause affective symptom reoccurrence in women with a history of PPD, but not matched controls. To investigate the cellular basis underlying this differential affective response, lymphoblastoid cell lines (LCLs) were derived from women with and without past PPD and compared transcriptomically in hormone conditions mimicking pregnancy and parturition: supraphysiologic E2 + P-addback; supraphysiologic E2 + P-withdrawal; and no added E2 + P (Baseline). RNA-sequencing identified unique differentially expressed genes (DEGs) in all hormone conditions, but the majority tended to be downregulated in PPD and observed in E2 + P-addback. Two of these DEGs were evolutionarily conserved cellular stress regulators: IMPACT, an integrative response protein maintaining translational homeostasis, and WWTR1, a transcriptional coactivator in the 'Hippo' pathway mediating cell proliferation and survival. Correspondingly, significant gene network modules were linked to cell cycle progression, estrogen response, and immune dysregulation, suggesting innate differences in intracellular signaling in PPD. In certain hormone conditions, PPD LCLs displayed increased GATA3 expression (an upstream regulator of IMPACT and WWTR1) and differentially phosphorylated eiF2α (the ultimate downstream target of IMPACT). Taken together, these transcriptomic data primarily implicate innately dysregulated cellular responses as potentially influencing mood and/or escalating PPD risk. Furthermore, the intrinsic downregulation of IMPACT's translation and WWTR1's transcription networks may suggest a novel link between PPD and a compromised ability to maintain homeostasis in the context of cellular stress occurring during pregnancy and parturition.
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Affiliation(s)
- Sarah A Rudzinskas
- Behavioral Endocrinology Branch, NIMH, Bldg. 10CRC, Room 25330, 10 Center Drive MSC 1277, Bethesda, 20892-1277, MD, USA
- Laboratory of Neurogenetics, NIAAA, Bethesda, MD, USA
| | - Allison C Goff
- Behavioral Endocrinology Branch, NIMH, Bldg. 10CRC, Room 25330, 10 Center Drive MSC 1277, Bethesda, 20892-1277, MD, USA
- Laboratory of Neurogenetics, NIAAA, Bethesda, MD, USA
| | - Maria A Mazzu
- Behavioral Endocrinology Branch, NIMH, Bldg. 10CRC, Room 25330, 10 Center Drive MSC 1277, Bethesda, 20892-1277, MD, USA
- Laboratory of Neurogenetics, NIAAA, Bethesda, MD, USA
| | | | | | - David R Rubinow
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - Peter J Schmidt
- Behavioral Endocrinology Branch, NIMH, Bldg. 10CRC, Room 25330, 10 Center Drive MSC 1277, Bethesda, 20892-1277, MD, USA.
| | - David Goldman
- Laboratory of Neurogenetics, NIAAA, Bethesda, MD, USA
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Obino D, Maurin M, Dingli F, Loew D, Lescure A, Terriac E, Goudot C, Malbec O, Lankar D, Yuseff MI, Lennon-Duménil AM, Moreau HD. Medium-throughput image-based phenotypic siRNA screen to unveil the molecular basis of B cell polarization. Sci Data 2023; 10:401. [PMID: 37353541 PMCID: PMC10290135 DOI: 10.1038/s41597-023-02301-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 06/12/2023] [Indexed: 06/25/2023] Open
Abstract
Cell polarity is an essential and highly conserved process governing cell function. Cell polarization is generally triggered by an external signal that induces the relocation of the centrosome, thus defining the polarity axis of the cell. Here, we took advantage of B cells as a model to study cell polarity and perform a medium-throughput siRNA-based imaging screen to identify new molecular regulators of polarization. We first identified candidates based on a quantitative proteomic analysis of proteins differentially associated with the centrosome of resting non-polarized and stimulated polarized B cells. We then targeted 233 candidates in a siRNA screen and identified hits regulating the polarization of the centrosome and/or lysosomes in B cells upon stimulation. Our dataset of proteomics, images, and polarity indexes provides a valuable source of information for a broad community of scientists interested in the molecular mechanisms regulating cell polarity.
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Affiliation(s)
- Dorian Obino
- Institut Curie, PSL Research University, Inserm U932, Immunity and Cancer, 75005, Paris, France.
| | - Mathieu Maurin
- Institut Curie, PSL Research University, Inserm U932, Immunity and Cancer, 75005, Paris, France
| | - Florent Dingli
- Institut Curie, PSL Research University, CurieCoreTech Mass Spectrometry Proteomics, 75005, Paris, France
| | - Damarys Loew
- Institut Curie, PSL Research University, CurieCoreTech Mass Spectrometry Proteomics, 75005, Paris, France
| | - Aurianne Lescure
- Institut Curie, PSL Research University, Translational Research Department, BioPhenics Platform, PICT-IBISA, Paris, France
| | - Emmanuel Terriac
- Institut Curie, PSL Research University, CNRS UMR144, Paris, France
| | - Christel Goudot
- Institut Curie, PSL Research University, Inserm U932, Immunity and Cancer, 75005, Paris, France
| | - Odile Malbec
- Institut Curie, PSL Research University, Inserm U932, Immunity and Cancer, 75005, Paris, France
| | - Danielle Lankar
- Institut Curie, PSL Research University, Inserm U932, Immunity and Cancer, 75005, Paris, France
| | - Maria-Isabel Yuseff
- Institut Curie, PSL Research University, Inserm U932, Immunity and Cancer, 75005, Paris, France
- Department of Cellular and Molecular Biology, Faculty of Sciences, Pontificia Universidad Católica de Chile, Santiago, Chile
| | | | - Hélène D Moreau
- Institut Curie, PSL Research University, Inserm U932, Immunity and Cancer, 75005, Paris, France.
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Kapun M, Mitchell ED, Kawecki TJ, Schmidt P, Flatt T. An Ancestral Balanced Inversion Polymorphism Confers Global Adaptation. Mol Biol Evol 2023; 40:msad118. [PMID: 37220650 PMCID: PMC10234209 DOI: 10.1093/molbev/msad118] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 04/17/2023] [Accepted: 05/19/2023] [Indexed: 05/25/2023] Open
Abstract
Since the pioneering work of Dobzhansky in the 1930s and 1940s, many chromosomal inversions have been identified, but how they contribute to adaptation remains poorly understood. In Drosophila melanogaster, the widespread inversion polymorphism In(3R)Payne underpins latitudinal clines in fitness traits on multiple continents. Here, we use single-individual whole-genome sequencing, transcriptomics, and published sequencing data to study the population genomics of this inversion on four continents: in its ancestral African range and in derived populations in Europe, North America, and Australia. Our results confirm that this inversion originated in sub-Saharan Africa and subsequently became cosmopolitan; we observe marked monophyletic divergence of inverted and noninverted karyotypes, with some substructure among inverted chromosomes between continents. Despite divergent evolution of this inversion since its out-of-Africa migration, derived non-African populations exhibit similar patterns of long-range linkage disequilibrium between the inversion breakpoints and major peaks of divergence in its center, consistent with balancing selection and suggesting that the inversion harbors alleles that are maintained by selection on several continents. Using RNA-sequencing, we identify overlap between inversion-linked single-nucleotide polymorphisms and loci that are differentially expressed between inverted and noninverted chromosomes. Expression levels are higher for inverted chromosomes at low temperature, suggesting loss of buffering or compensatory plasticity and consistent with higher inversion frequency in warm climates. Our results suggest that this ancestrally tropical balanced polymorphism spread around the world and became latitudinally assorted along similar but independent climatic gradients, always being frequent in subtropical/tropical areas but rare or absent in temperate climates.
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Affiliation(s)
- Martin Kapun
- Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland
- Department of Biology, University of Fribourg, Fribourg, Switzerland
- Division of Cell and Developmental Biology, Medical University of Vienna, Vienna, Austria
- Natural History Museum Vienna, Zentrale Forschungslaboratorien, Vienna, Austria
| | - Esra Durmaz Mitchell
- Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland
- Department of Biology, University of Fribourg, Fribourg, Switzerland
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Tadeusz J Kawecki
- Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland
| | - Paul Schmidt
- Department of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Thomas Flatt
- Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland
- Department of Biology, University of Fribourg, Fribourg, Switzerland
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37
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Forst CV, Zeng L, Wang Q, Zhou X, Vatansever S, Xu P, Song W, Tu Z, Zhang B. Multiscale network analysis identifies potential receptors for SARS-CoV-2 and reveals their tissue-specific and age-dependent expression. FEBS Lett 2023; 597:1384-1402. [PMID: 36951513 PMCID: PMC10294276 DOI: 10.1002/1873-3468.14613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 02/13/2023] [Accepted: 02/27/2023] [Indexed: 03/24/2023]
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has affected tens of millions of individuals and caused hundreds of thousands of deaths worldwide. Here, we present a comprehensive, multiscale network analysis of the transcriptional response to the virus. In particular, we focused on key regulators, cell receptors, and host processes that were hijacked by the virus for its advantage. ACE2-controlled processes involved CD300e (a TYROBP receptor) as a key regulator and the activation of IL-2 pro-inflammatory cytokine signaling. We further investigated the age dependency of such receptors in different tissues. In summary, this study provides novel insights into the gene regulatory organization during the SARS-CoV-2 infection and the tissue-specific, age-dependent expression of the cell receptors involved in COVID-19.
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Affiliation(s)
- Christian V. Forst
- Department of Genetics and Genomic SciencesIcahn School of Medicine at Mount SinaiNew YorkNYUSA
- Mount Sinai Center for Transformative Disease ModelingIcahn School of Medicine at Mount SinaiNew YorkNYUSA
- Icahn Institute for Data Science and Genomic TechnologyIcahn School of Medicine at Mount SinaiNew YorkNYUSA
- Department of MicrobiologyIcahn School of Medicine at Mount SinaiNew YorkNYUSA
| | - Lu Zeng
- Department of Genetics and Genomic SciencesIcahn School of Medicine at Mount SinaiNew YorkNYUSA
| | - Qian Wang
- Department of Genetics and Genomic SciencesIcahn School of Medicine at Mount SinaiNew YorkNYUSA
- Mount Sinai Center for Transformative Disease ModelingIcahn School of Medicine at Mount SinaiNew YorkNYUSA
- Icahn Institute for Data Science and Genomic TechnologyIcahn School of Medicine at Mount SinaiNew YorkNYUSA
| | - Xianxiao Zhou
- Department of Genetics and Genomic SciencesIcahn School of Medicine at Mount SinaiNew YorkNYUSA
- Mount Sinai Center for Transformative Disease ModelingIcahn School of Medicine at Mount SinaiNew YorkNYUSA
- Icahn Institute for Data Science and Genomic TechnologyIcahn School of Medicine at Mount SinaiNew YorkNYUSA
| | - Sezen Vatansever
- Department of Genetics and Genomic SciencesIcahn School of Medicine at Mount SinaiNew YorkNYUSA
- Mount Sinai Center for Transformative Disease ModelingIcahn School of Medicine at Mount SinaiNew YorkNYUSA
- Icahn Institute for Data Science and Genomic TechnologyIcahn School of Medicine at Mount SinaiNew YorkNYUSA
| | - Peng Xu
- Department of Genetics and Genomic SciencesIcahn School of Medicine at Mount SinaiNew YorkNYUSA
- Mount Sinai Center for Transformative Disease ModelingIcahn School of Medicine at Mount SinaiNew YorkNYUSA
- Icahn Institute for Data Science and Genomic TechnologyIcahn School of Medicine at Mount SinaiNew YorkNYUSA
| | - Won‐Min Song
- Department of Genetics and Genomic SciencesIcahn School of Medicine at Mount SinaiNew YorkNYUSA
- Mount Sinai Center for Transformative Disease ModelingIcahn School of Medicine at Mount SinaiNew YorkNYUSA
- Icahn Institute for Data Science and Genomic TechnologyIcahn School of Medicine at Mount SinaiNew YorkNYUSA
| | - Zhidong Tu
- Department of Genetics and Genomic SciencesIcahn School of Medicine at Mount SinaiNew YorkNYUSA
- Icahn Institute for Data Science and Genomic TechnologyIcahn School of Medicine at Mount SinaiNew YorkNYUSA
| | - Bin Zhang
- Department of Genetics and Genomic SciencesIcahn School of Medicine at Mount SinaiNew YorkNYUSA
- Mount Sinai Center for Transformative Disease ModelingIcahn School of Medicine at Mount SinaiNew YorkNYUSA
- Icahn Institute for Data Science and Genomic TechnologyIcahn School of Medicine at Mount SinaiNew YorkNYUSA
- Department of Pharmacological SciencesIcahn School of Medicine at Mount SinaiNew YorkNYUSA
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38
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Zhang J, Hu Z, Chung HH, Tian Y, Lau KW, Ser Z, Lim YT, Sobota RM, Leong HF, Chen BJ, Yeo CJ, Tan SYX, Kang J, Tan DEK, Sou IF, McClurg UL, Lakshmanan M, Vaiyapuri TS, Raju A, Wong ESM, Tergaonkar V, Rajarethinam R, Pathak E, Tam WL, Tan EY, Tee WW. Dependency of NELF-E-SLUG-KAT2B epigenetic axis in breast cancer carcinogenesis. Nat Commun 2023; 14:2439. [PMID: 37117180 PMCID: PMC10147683 DOI: 10.1038/s41467-023-38132-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 04/17/2023] [Indexed: 04/30/2023] Open
Abstract
Cancer cells undergo transcriptional reprogramming to drive tumor progression and metastasis. Using cancer cell lines and patient-derived tumor organoids, we demonstrate that loss of the negative elongation factor (NELF) complex inhibits breast cancer development through downregulating epithelial-mesenchymal transition (EMT) and stemness-associated genes. Quantitative multiplexed Rapid Immunoprecipitation Mass spectrometry of Endogenous proteins (qPLEX-RIME) further reveals a significant rewiring of NELF-E-associated chromatin partners as a function of EMT and a co-option of NELF-E with the key EMT transcription factor SLUG. Accordingly, loss of NELF-E leads to impaired SLUG binding on chromatin. Through integrative transcriptomic and genomic analyses, we identify the histone acetyltransferase, KAT2B, as a key functional target of NELF-E-SLUG. Genetic and pharmacological inactivation of KAT2B ameliorate the expression of EMT markers, phenocopying NELF ablation. Elevated expression of NELF-E and KAT2B is associated with poorer prognosis in breast cancer patients, highlighting the clinical relevance of our findings. Taken together, we uncover a crucial role of the NELF-E-SLUG-KAT2B epigenetic axis in breast cancer carcinogenesis.
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Affiliation(s)
- Jieqiong Zhang
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117593, Republic of Singapore
| | - Zhenhua Hu
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Hwa Hwa Chung
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Yun Tian
- Department of Oncology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, 210004, Nanjing, People's Republic of China
| | - Kah Weng Lau
- Department of Pathology, National University Hospital, 5 Lower Kent Ridge Road, Singapore, 119074, Republic of Singapore
| | - Zheng Ser
- Functional Proteomics Laboratory, SingMass National Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Yan Ting Lim
- Functional Proteomics Laboratory, SingMass National Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Radoslaw M Sobota
- Functional Proteomics Laboratory, SingMass National Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Hwei Fen Leong
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Benjamin Jieming Chen
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Clarisse Jingyi Yeo
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Shawn Ying Xuan Tan
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Jian Kang
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Dennis Eng Kiat Tan
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Ieng Fong Sou
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK
| | - Urszula Lucja McClurg
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK
| | - Manikandan Lakshmanan
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Thamil Selvan Vaiyapuri
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Anandhkumar Raju
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Esther Sook Miin Wong
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Vinay Tergaonkar
- Department of Pathology, National University Hospital, 5 Lower Kent Ridge Road, Singapore, 119074, Republic of Singapore
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, 14 Medical Drive, Singapore, 117599, Republic of Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, Singapore, 117597, Republic of Singapore
| | - Ravisankar Rajarethinam
- Advanced Molecular Pathology Laboratory, Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Elina Pathak
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), 60 Biopolis Drive, Genome, Singapore, 138672, Republic of Singapore
| | - Wai Leong Tam
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, 14 Medical Drive, Singapore, 117599, Republic of Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, Singapore, 117597, Republic of Singapore
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), 60 Biopolis Drive, Genome, Singapore, 138672, Republic of Singapore
- Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, Singapore, 117599, Republic of Singapore
| | - Ern Yu Tan
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
- Department of General Surgery, Tan Tock Seng Hospital, Singapore, 308433, Republic of Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232, Republic of Singapore
| | - Wee-Wei Tee
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore.
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117593, Republic of Singapore.
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, 14 Medical Drive, Singapore, 117599, Republic of Singapore.
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39
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Minden S, Aniolek M, Noorman H, Takors R. Mimicked Mixing-Induced Heterogeneities of Industrial Bioreactors Stimulate Long-Lasting Adaption Programs in Ethanol-Producing Yeasts. Genes (Basel) 2023; 14:genes14050997. [PMID: 37239357 DOI: 10.3390/genes14050997] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 04/24/2023] [Accepted: 04/26/2023] [Indexed: 05/28/2023] Open
Abstract
Commercial-scale bioreactors create an unnatural environment for microbes from an evolutionary point of view. Mixing insufficiencies expose individual cells to fluctuating nutrient concentrations on a second-to-minute scale while transcriptional and translational capacities limit the microbial adaptation time from minutes to hours. This mismatch carries the risk of inadequate adaptation effects, especially considering that nutrients are available at optimal concentrations on average. Consequently, industrial bioprocesses that strive to maintain microbes in a phenotypic sweet spot, during lab-scale development, might suffer performance losses when said adaptive misconfigurations arise during scale-up. Here, we investigated the influence of fluctuating glucose availability on the gene-expression profile in the industrial yeast Ethanol Red™. The stimulus-response experiment introduced 2 min glucose depletion phases to cells growing under glucose limitation in a chemostat. Even though Ethanol Red™ displayed robust growth and productivity, a single 2 min depletion of glucose transiently triggered the environmental stress response. Furthermore, a new growth phenotype with an increased ribosome portfolio emerged after complete adaptation to recurring glucose shortages. The results of this study serve a twofold purpose. First, it highlights the necessity to consider the large-scale environment already at the experimental development stage, even when process-related stressors are moderate. Second, it allowed the deduction of strain engineering guidelines to optimize the genetic background of large-scale production hosts.
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Affiliation(s)
- Steven Minden
- Institute of Biochemical Engineering, University of Stuttgart, 70569 Stuttgart, Germany
| | - Maria Aniolek
- Institute of Biochemical Engineering, University of Stuttgart, 70569 Stuttgart, Germany
| | - Henk Noorman
- Royal DSM, 2613 AX Delft, The Netherlands
- Department of Biotechnology, Delft University of Technology, 2628 CD Delft, The Netherlands
| | - Ralf Takors
- Institute of Biochemical Engineering, University of Stuttgart, 70569 Stuttgart, Germany
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40
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Lorenzetti APR, Kusebauch U, Zaramela LS, Wu WJ, de Almeida JPP, Turkarslan S, L. G. de Lomana A, Gomes-Filho JV, Vêncio RZN, Moritz RL, Koide T, Baliga NS. A Genome-Scale Atlas Reveals Complex Interplay of Transcription and Translation in an Archaeon. mSystems 2023; 8:e0081622. [PMID: 36912639 PMCID: PMC10134880 DOI: 10.1128/msystems.00816-22] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 02/10/2023] [Indexed: 03/14/2023] Open
Abstract
The scale of post-transcriptional regulation and the implications of its interplay with other forms of regulation in environmental acclimation are underexplored for organisms of the domain Archaea. Here, we have investigated the scale of post-transcriptional regulation in the extremely halophilic archaeon Halobacterium salinarum NRC-1 by integrating the transcriptome-wide locations of transcript processing sites (TPSs) and SmAP1 binding, the genome-wide locations of antisense RNAs (asRNAs), and the consequences of RNase_2099C knockout on the differential expression of all genes. This integrated analysis has discovered that 54% of all protein-coding genes in the genome of this haloarchaeon are likely targeted by multiple mechanisms for putative post-transcriptional processing and regulation, with about 20% of genes likely being regulated by combinatorial schemes involving SmAP1, asRNAs, and RNase_2099C. Comparative analysis of mRNA levels (transcriptome sequencing [RNA-Seq]) and protein levels (sequential window acquisition of all theoretical fragment ion spectra mass spectrometry [SWATH-MS]) for 2,579 genes over four phases of batch culture growth in complex medium generated additional evidence for the conditional post-transcriptional regulation of 7% of all protein-coding genes. We demonstrate that post-transcriptional regulation may act to fine-tune specialized and rapid acclimation to stressful environments, e.g., as a switch to turn on gas vesicle biogenesis to promote vertical relocation under anoxic conditions and modulate the frequency of transposition by insertion sequence (IS) elements of the IS200/IS605, IS4, and ISH3 families. Findings from this study are provided as an atlas in a public Web resource (https://halodata.systemsbiology.net). IMPORTANCE While the transcriptional regulation landscape of archaea has been extensively investigated, we currently have limited knowledge about post-transcriptional regulation and its driving mechanisms in this domain of life. In this study, we collected and integrated omics data from multiple sources and technologies to infer post-transcriptionally regulated genes and the putative mechanisms modulating their expression at the protein level in Halobacterium salinarum NRC-1. The results suggest that post-transcriptional regulation may drive environmental acclimation by regulating hallmark biological processes. To foster discoveries by other research groups interested in the topic, we extended our integrated data to the public in the form of an interactive atlas (https://halodata.systemsbiology.net).
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Affiliation(s)
- Alan P. R. Lorenzetti
- Department of Biochemistry and Immunology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
- Institute for Systems Biology, Seattle, Washington, USA
| | | | - Lívia S. Zaramela
- Department of Biochemistry and Immunology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Wei-Ju Wu
- Institute for Systems Biology, Seattle, Washington, USA
| | - João P. P. de Almeida
- Department of Biochemistry and Immunology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | | | | | - José V. Gomes-Filho
- Department of Biochemistry and Immunology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Ricardo Z. N. Vêncio
- Department of Computation and Mathematics, Faculty of Philosophy, Sciences and Letters at Ribeirão Preto, University of São Paulo, Ribeirão Preto, Brazil
| | | | - Tie Koide
- Department of Biochemistry and Immunology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Nitin S. Baliga
- Institute for Systems Biology, Seattle, Washington, USA
- Department of Biology, University of Washington, Seattle, Washington, USA
- Department of Microbiology, University of Washington, Seattle, Washington, USA
- Molecular and Cellular Biology Program, University of Washington, Seattle, Washington, USA
- Lawrence Berkeley National Lab, Berkeley, California, USA
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41
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Reimann TM, Müdsam C, Schachtler C, Ince S, Sticht H, Herrmann C, Stürzl M, Kost B. The large GTPase AtGBPL3 links nuclear envelope formation and morphogenesis to transcriptional repression. NATURE PLANTS 2023; 9:766-784. [PMID: 37095224 DOI: 10.1038/s41477-023-01400-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 03/24/2023] [Indexed: 05/03/2023]
Abstract
Guanylate binding proteins (GBPs) are prominent regulators of immunity not known to be required for nuclear envelope formation and morphogenesis. Here we identify the Arabidopsis GBP orthologue AtGBPL3 as a lamina component with essential functions in mitotic nuclear envelope reformation, nuclear morphogenesis and transcriptional repression during interphase. AtGBPL3 is preferentially expressed in mitotically active root tips, accumulates at the nuclear envelope and interacts with centromeric chromatin as well as with lamina components transcriptionally repressing pericentromeric chromatin. Reduced expression of AtGBPL3 or associated lamina components similarly altered nuclear morphology and caused overlapping transcriptional deregulation. Investigating the dynamics of AtGBPL3-GFP and other nuclear markers during mitosis (1) revealed that AtGBPL3 accumulation on the surface of daughter nuclei precedes nuclear envelope reformation and (2) uncovered defects in this process in roots of AtGBPL3 mutants, which cause programmed cell death and impair growth. AtGBPL3 functions established by these observations are unique among dynamin-family large GTPases.
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Affiliation(s)
- Theresa Maria Reimann
- Cell Biology, Department of Biology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Christina Müdsam
- Cell Biology, Department of Biology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Christina Schachtler
- Cell Biology, Department of Biology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
- Molecular and Experimental Surgery, Department of Surgery, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Semra Ince
- Physical and Biophysical Chemistry, Department of Physical Chemistry 1, Ruhr-Universität Bochum (RUB), Bochum, Germany
| | - Heinrich Sticht
- Bioinformatics, Institute of Biochemistry, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Christian Herrmann
- Physical and Biophysical Chemistry, Department of Physical Chemistry 1, Ruhr-Universität Bochum (RUB), Bochum, Germany
| | - Michael Stürzl
- Molecular and Experimental Surgery, Department of Surgery, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Benedikt Kost
- Cell Biology, Department of Biology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
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42
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Wishart CL, Spiteri AG, Locatelli G, King NJC. Integrating transcriptomic datasets across neurological disease identifies unique myeloid subpopulations driving disease-specific signatures. Glia 2023; 71:904-925. [PMID: 36527260 PMCID: PMC10952672 DOI: 10.1002/glia.24314] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 11/06/2022] [Accepted: 11/23/2022] [Indexed: 12/23/2022]
Abstract
Microglia and bone marrow-derived monocytes are key elements of central nervous system (CNS) inflammation, both capable of enhancing and dampening immune-mediated pathology. However, the study-specific focus on individual cell types, disease models or experimental approaches has limited our ability to infer common and disease-specific responses. This meta-analysis integrates bulk and single-cell transcriptomic datasets of microglia and monocytes from disease models of autoimmunity, neurodegeneration, sterile injury, and infection to build a comprehensive resource connecting myeloid responses across CNS disease. We demonstrate that the bulk microglial and monocyte program is highly contingent on the disease environment, challenging the notion of a universal microglial disease signature. Integration of six single-cell RNA-sequencing datasets revealed that these disease-specific signatures are likely driven by differing proportions of unique myeloid subpopulations that were individually expanded in different disease settings. These subsets were functionally-defined as neurodegeneration-associated, inflammatory, interferon-responsive, phagocytic, antigen-presenting, and lipopolysaccharide-responsive cellular states, revealing a core set of myeloid responses at the single-cell level that are conserved across CNS pathology. Showcasing the predictive and practical value of this resource, we performed differential expression analysis on microglia and monocytes across disease and identified Cd81 as a new neuroinflammatory-stable gene that accurately identified microglia and distinguished them from monocyte-derived cells across all experimental models at both the bulk and single-cell level. Together, this resource dissects the influence of disease environment on shared immune response programmes to build a unified perspective of myeloid behavior across CNS pathology.
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Affiliation(s)
- Claire L. Wishart
- Infection, Immunity, Inflammation Research Theme, School of Medical Sciences, Faculty of Medicine and HealthThe University of SydneySydneyNew South WalesAustralia
- Sydney Cytometry FacilityThe University of Sydney and Centenary InstituteSydneyNew South WalesAustralia
- Ramaciotti Facility for Human Systems BiologyThe University of Sydney and Centenary InstituteSydneyNew South WalesAustralia
- Charles Perkins CentreThe University of SydneySydneyNew South WalesAustralia
| | - Alanna G. Spiteri
- Infection, Immunity, Inflammation Research Theme, School of Medical Sciences, Faculty of Medicine and HealthThe University of SydneySydneyNew South WalesAustralia
- Sydney Cytometry FacilityThe University of Sydney and Centenary InstituteSydneyNew South WalesAustralia
- Ramaciotti Facility for Human Systems BiologyThe University of Sydney and Centenary InstituteSydneyNew South WalesAustralia
- Charles Perkins CentreThe University of SydneySydneyNew South WalesAustralia
| | - Giuseppe Locatelli
- Theodor Kocher InstituteUniversity of BernBernSwitzerland
- Novartis Institutes for BioMedical ResearchNovartisBaselSwitzerland
| | - Nicholas J. C. King
- Infection, Immunity, Inflammation Research Theme, School of Medical Sciences, Faculty of Medicine and HealthThe University of SydneySydneyNew South WalesAustralia
- Sydney Cytometry FacilityThe University of Sydney and Centenary InstituteSydneyNew South WalesAustralia
- Ramaciotti Facility for Human Systems BiologyThe University of Sydney and Centenary InstituteSydneyNew South WalesAustralia
- Charles Perkins CentreThe University of SydneySydneyNew South WalesAustralia
- Sydney Institute for Infectious Diseases, Faculty of Medicine and HealthThe University of SydneySydneyNew South WalesAustralia
- The University of Sydney Nano Institute, Faculty of ScienceThe University of SydneySydneyNew South WalesAustralia
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43
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Jones BM, Rubin BER, Dudchenko O, Kingwell CJ, Traniello IM, Wang ZY, Kapheim KM, Wyman ES, Adastra PA, Liu W, Parsons LR, Jackson SR, Goodwin K, Davidson SM, McBride MJ, Webb AE, Omufwoko KS, Van Dorp N, Otárola MF, Pham M, Omer AD, Weisz D, Schraiber J, Villanea F, Wcislo WT, Paxton RJ, Hunt BG, Aiden EL, Kocher SD. Convergent and complementary selection shaped gains and losses of eusociality in sweat bees. Nat Ecol Evol 2023; 7:557-569. [PMID: 36941345 DOI: 10.1038/s41559-023-02001-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 01/18/2023] [Indexed: 03/23/2023]
Abstract
Sweat bees have repeatedly gained and lost eusociality, a transition from individual to group reproduction. Here we generate chromosome-length genome assemblies for 17 species and identify genomic signatures of evolutionary trade-offs associated with transitions between social and solitary living. Both young genes and regulatory regions show enrichment for these molecular patterns. We also identify loci that show evidence of complementary signals of positive and relaxed selection linked specifically to the convergent gains and losses of eusociality in sweat bees. This includes two pleiotropic proteins that bind and transport juvenile hormone (JH)-a key regulator of insect development and reproduction. We find that one of these proteins is primarily expressed in subperineurial glial cells that form the insect blood-brain barrier and that brain levels of JH vary by sociality. Our findings are consistent with a role of JH in modulating social behaviour and suggest that eusocial evolution was facilitated by alteration of the proteins that bind and transport JH, revealing how an ancestral developmental hormone may have been co-opted during one of life's major transitions. More broadly, our results highlight how evolutionary trade-offs have structured the molecular basis of eusociality in these bees and demonstrate how both directional selection and release from constraint can shape trait evolution.
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Affiliation(s)
- Beryl M Jones
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Benjamin E R Rubin
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Olga Dudchenko
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Center for Theoretical Biological Physics, Rice University, Houston, TX, USA
| | - Callum J Kingwell
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
- Smithsonian Tropical Research Institute, Panama City, Republic of Panama
| | - Ian M Traniello
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Z Yan Wang
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Karen M Kapheim
- Smithsonian Tropical Research Institute, Panama City, Republic of Panama
- Department of Biology, Utah State University, Logan, UT, USA
| | - Eli S Wyman
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Per A Adastra
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Weijie Liu
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Lance R Parsons
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - S RaElle Jackson
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Katharine Goodwin
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Shawn M Davidson
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Matthew J McBride
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
- Department of Chemistry, Princeton University, Princeton, NJ, USA
| | - Andrew E Webb
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Kennedy S Omufwoko
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Nikki Van Dorp
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Mauricio Fernández Otárola
- Biodiversity and Tropical Ecology Research Center (CIBET) and School of Biology, University of Costa Rica, San José, Costa Rica
| | - Melanie Pham
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Arina D Omer
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - David Weisz
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Joshua Schraiber
- Department of Biology, Temple University, Philadelphia, PA, USA
- Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA, USA
| | - Fernando Villanea
- Department of Biology, Temple University, Philadelphia, PA, USA
- Department of Anthropology, University of Colorado Boulder, Boulder, CO, USA
| | - William T Wcislo
- Smithsonian Tropical Research Institute, Panama City, Republic of Panama
| | - Robert J Paxton
- Institute of Biology, Martin-Luther University Halle-Wittenberg, Halle, Germany
- German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Germany
| | - Brendan G Hunt
- Department of Entomology, University of Georgia, Athens, GA, USA
| | - Erez Lieberman Aiden
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Center for Theoretical Biological Physics, Rice University, Houston, TX, USA
| | - Sarah D Kocher
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
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44
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Szukala A, Lovegrove‐Walsh J, Luqman H, Fior S, Wolfe TM, Frajman B, Schönswetter P, Paun O. Polygenic routes lead to parallel altitudinal adaptation in Heliosperma pusillum (Caryophyllaceae). Mol Ecol 2023; 32:1832-1847. [PMID: 35152499 PMCID: PMC10946620 DOI: 10.1111/mec.16393] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 12/29/2021] [Accepted: 02/02/2022] [Indexed: 11/28/2022]
Abstract
Understanding how organisms adapt to the environment is a major goal of modern biology. Parallel evolution-the independent evolution of similar phenotypes in different populations-provides a powerful framework to investigate the evolutionary potential of populations, the constraints of evolution, its repeatability and therefore its predictability. Here, we quantified the degree of gene expression and functional parallelism across replicated ecotype formation in Heliosperma pusillum (Caryophyllaceae), and gained insights into the architecture of adaptive traits. Population structure analyses and demographic modelling support a previously formulated hypothesis of parallel polytopic divergence of montane and alpine ecotypes. We detect a large proportion of differentially expressed genes (DEGs) underlying divergence within each replicate ecotype pair, with a strikingly low number of shared DEGs across pairs. Functional enrichment of DEGs reveals that the traits affected by significant expression divergence are largely consistent across ecotype pairs, in strong contrast to the nonshared genetic basis. The remarkable redundancy of differential gene expression indicates a polygenic architecture for the diverged adaptive traits. We conclude that polygenic traits appear key to opening multiple routes for adaptation, widening the adaptive potential of organisms.
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Affiliation(s)
- Aglaia Szukala
- Department of Botany and Biodiversity ResearchUniversity of ViennaViennaAustria
- Vienna Graduate School of Population GeneticsViennaAustria
| | | | - Hirzi Luqman
- Department of Environmental System ScienceETH ZürichZürichSwitzerland
| | - Simone Fior
- Department of Environmental System ScienceETH ZürichZürichSwitzerland
| | - Thomas M. Wolfe
- Institute for Forest EntomologyForest Pathology and Forest Protection, BOKUViennaAustria
| | - Božo Frajman
- Department of BotanyUniversity of InnsbruckInnsbruckAustria
| | | | - Ovidiu Paun
- Department of Botany and Biodiversity ResearchUniversity of ViennaViennaAustria
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45
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Sadino JM, Bradeen XG, Kelly CJ, Brusman LE, Walker DM, Donaldson ZR. Prolonged partner separation erodes nucleus accumbens transcriptional signatures of pair bonding in male prairie voles. eLife 2023; 12:e80517. [PMID: 36852906 PMCID: PMC10112888 DOI: 10.7554/elife.80517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 02/27/2023] [Indexed: 03/01/2023] Open
Abstract
The loss of a spouse is often cited as the most traumatic event in a person's life. However, for most people, the severity of grief and its maladaptive effects subside over time via an understudied adaptive process. Like humans, socially monogamous prairie voles (Microtus ochrogaster) form opposite-sex pair bonds, and upon partner separation, show stress phenotypes that diminish over time. We test the hypothesis that extended partner separation diminishes pair bond-associated behaviors and causes pair bond transcriptional signatures to erode. Opposite-sex or same-sex paired males were cohoused for 2 weeks and then either remained paired or were separated for 48 hours or 4 weeks before collecting fresh nucleus accumbens tissue for RNAseq. In a separate cohort, we assessed partner-directed affiliation at these time points. We found that these behaviors persist despite prolonged separation in both same-sex and opposite-sex paired voles. Opposite-sex pair bonding led to changes in accumbal transcription that were stably maintained while animals remained paired but eroded following prolonged partner separation. Eroded genes are associated with gliogenesis and myelination, suggesting a previously undescribed role for glia in pair bonding and loss. Further, we pioneered neuron-specific translating ribosomal affinity purification in voles. Neuronally enriched transcriptional changes revealed dopaminergic-, mitochondrial-, and steroid hormone signaling-associated gene clusters sensitive to acute pair bond disruption and loss adaptation. Our results suggest that partner separation erodes transcriptomic signatures of pair bonding despite core behavioral features of the bond remaining intact, revealing potential molecular processes priming a vole to be able to form a new bond.
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Affiliation(s)
- Julie M Sadino
- Department of Molecular, Cellular, and Developmental Biology, University of Colorado BoulderBoulderUnited States
| | - Xander G Bradeen
- Department of Psychology and Neuroscience, University of Colorado BoulderBoulderUnited States
- Department of Adult Hematology, University of Colorado- Anschutz Medical CampusAuroraUnited States
| | - Conor J Kelly
- Department of Molecular, Cellular, and Developmental Biology, University of Colorado BoulderBoulderUnited States
- BioFrontiers Institute, University of Colorado BoulderBoulderUnited States
| | - Liza E Brusman
- Department of Molecular, Cellular, and Developmental Biology, University of Colorado BoulderBoulderUnited States
| | - Deena M Walker
- Department of Behavioral Neuroscience, Oregon Health and Science University, School of MedicinePortlandUnited States
| | - Zoe R Donaldson
- Department of Molecular, Cellular, and Developmental Biology, University of Colorado BoulderBoulderUnited States
- Department of Psychology and Neuroscience, University of Colorado BoulderBoulderUnited States
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46
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Mews P, Cunningham AM, Scarpa J, Ramakrishnan A, Hicks EM, Bolnick S, Garamszegi S, Shen L, Mash DC, Nestler EJ. Convergent abnormalities in striatal gene networks in human cocaine use disorder and mouse cocaine administration models. SCIENCE ADVANCES 2023; 9:eadd8946. [PMID: 36763659 PMCID: PMC9916993 DOI: 10.1126/sciadv.add8946] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 01/06/2023] [Indexed: 06/11/2023]
Abstract
Cocaine use disorder (CUD) is an intractable syndrome, and rising overdose death rates represent a substantial public health crisis that exacts tremendous personal and financial costs on patients and society. Sharp increases in cocaine use drive the urgent need for better mechanistic insight into this chronic relapsing brain disorder that currently lacks effective treatment options. To investigate the transcriptomic changes involved, we conducted RNA sequencing on two striatal brain regions that are heavily implicated in CUD, the nucleus accumbens and caudate nucleus, from men suffering from CUD and matched controls. Weighted gene coexpression analyses identified CUD-specific gene networks enriched in ionotropic receptors and linked to lowered neuroinflammation, contrasting the proinflammatory responses found in opioid use disorder. Integration of comprehensive transcriptomic datasets from mouse cocaine self-administration models revealed evolutionarily conserved gene networks in CUD that implicate especially D1 medium spiny neurons as drivers of cocaine-induced plasticity.
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Affiliation(s)
- Philipp Mews
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ashley M. Cunningham
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Joseph Scarpa
- Department of Anesthesiology, Weill Cornell Medical College, New York, NY, USA
| | - Aarthi Ramakrishnan
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Emily M. Hicks
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sarah Bolnick
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Susanna Garamszegi
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Li Shen
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Deborah C. Mash
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Eric J. Nestler
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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47
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Genome-wide signatures of the geographic expansion and breeding of soybean. SCIENCE CHINA. LIFE SCIENCES 2023; 66:350-365. [PMID: 35997916 DOI: 10.1007/s11427-022-2158-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 06/30/2022] [Indexed: 10/15/2022]
Abstract
Soybean is a leguminous crop that provides oil and protein. Exploring the genomic signatures of soybean evolution is crucial for breeding varieties with improved adaptability to environmental extremes. We analyzed the genome sequences of 2,214 soybeans and proposed a soybean evolutionary route, i.e., the expansion of annual wild soybean (Glycine soja Sieb. & Zucc.) from southern China and its domestication in central China, followed by the expansion and local breeding selection of its landraces (G. max (L.) Merr.). We observed that the genetic introgression in soybean landraces was mostly derived from sympatric rather than allopatric wild populations during the geographic expansion. Soybean expansion and breeding were accompanied by the positive selection of flowering time genes, including GmSPA3c. Our study sheds light on the evolutionary history of soybean and provides valuable genetic resources for its future breeding.
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48
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Pallares LF, Lea AJ, Han C, Filippova EV, Andolfatto P, Ayroles JF. Dietary stress remodels the genetic architecture of lifespan variation in outbred Drosophila. Nat Genet 2023; 55:123-129. [PMID: 36550361 DOI: 10.1038/s41588-022-01246-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 10/26/2022] [Indexed: 12/24/2022]
Abstract
Evolutionary theory suggests that lifespan-reducing alleles should be purged from the gene pool, and yet decades of genome-wide association and model organism studies have shown that they persist. One potential explanation is that alleles that regulate lifespan do so only in certain environmental contexts. We exposed outbred Drosophila to control and high-sugar diets and genotyped more than 10,000 adult flies to track allele frequency changes over the course of a single adult lifespan. We identified thousands of lifespan-associated alleles associated with early versus late-life trade-offs, late-onset effects and genotype-by-environment interactions. Remarkably, a third of lifespan-associated genetic variation had environmentally dependent effects on lifespan. We find that lifespan-reducing alleles are often recently derived, have stronger effects on a high-sugar diet and show signatures of selection in wild Drosophila populations, consistent with the evolutionary mismatch hypothesis. Our results provide insight into the highly polygenic and context-dependent genetic architecture of lifespan variation and the evolutionary processes that shape this key trait.
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Affiliation(s)
- Luisa F Pallares
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
- Ecology and Evolutionary Biology Department, Princeton University, Princeton, NJ, USA
- Friedrich Miescher Laboratory, Max Planck Society, Tübingen, Germany
| | - Amanda J Lea
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
- Ecology and Evolutionary Biology Department, Princeton University, Princeton, NJ, USA
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
| | - Clair Han
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
- Janelia Research Campus of the Howard Hughes Medical Institute, Ashburn, VA, USA
| | - Elena V Filippova
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Peter Andolfatto
- Department of Biological Sciences, Columbia University, New York, NY, USA.
| | - Julien F Ayroles
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
- Ecology and Evolutionary Biology Department, Princeton University, Princeton, NJ, USA.
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49
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Baranova A, Cao H, Zhang F. Causal effect of COVID-19 on Alzheimer's disease: A Mendelian randomization study. J Med Virol 2023; 95:e28107. [PMID: 36039844 PMCID: PMC9539282 DOI: 10.1002/jmv.28107] [Citation(s) in RCA: 28] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 08/04/2022] [Accepted: 08/26/2022] [Indexed: 01/11/2023]
Abstract
It was reported that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection may cause brain size reduction and cognitive decline. Whether COVID-19 may contribute to the development of Alzheimer's disease (AD) is not known. We conducted genetic correlation and Mendelian randomization (MR) analyses to assess genetic relationships and potential causal associations between AD and three COVID-19 outcomes (SARS-CoV-2 infection, COVID-19 hospitalization, and critical COVID-19) by utilizing genome-wide association study datasets on these traits. A map of COVID-19-driven molecular pathways was constructed to investigate potential mechanisms underlying the COVID-19 and AD connection. Genetic correlation analyses indicated that AD had a significant positive genetic correlation with hospitalized COVID-19 (rg = 0.271). The MR analysis from the inverse-variance-weighted model showed that genetic liabilities to hospitalized COVID-19 (odds ratio: 1.02, 95% confidence interval: 1.01-1.03) and critical COVID-19 (1.01, 1.00-1.02) were associated with an increased risk for AD. However, no causal effect of genetic liability to SARS-CoV-2 infection on AD was detected (1.03, 0.97-1.09). A total of 60 functionally interconnected genes were reported to mediate the COVID-19-AD connection, which showed functional enrichment in immunity-related pathways and tissue enrichment in the lung and brain. Our study suggests that severe COVID-19 may contribute to the development of AD, while suffering a mild case of COVID-19 may not increase the risk for AD. The influence of COVID-19 on AD may be mediated by immunity-related pathways acting predominantly in the lung and brain.
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Affiliation(s)
- Ancha Baranova
- School of Systems BiologyGeorge Mason UniversityManassasVirginiaUSA
- Research Centre for Medical GeneticsMoscowRussia
| | - Hongbao Cao
- School of Systems BiologyGeorge Mason UniversityManassasVirginiaUSA
| | - Fuquan Zhang
- Institute of NeuropsychiatryThe Affiliated Brain Hospital of Nanjing Medical UniversityNanjingChina
- Department of PsychiatryThe Affiliated Brain Hospital of Nanjing Medical UniversityNanjingChina
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50
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Mielecki D, Grzesiuk E, Bednarska A, Garbicz D, Świderska B, Grzesiuk M. Contamination of aquatic environment with anticancer reagents influences Daphnia magna - Ecotoxicogenomics approach. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 249:114372. [PMID: 36508828 DOI: 10.1016/j.ecoenv.2022.114372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 11/23/2022] [Accepted: 11/28/2022] [Indexed: 06/17/2023]
Abstract
Pharmaceuticals used in human medicine contaminate freshwater ecosystems. Chemotherapeutics applied in cancer treatment are found in freshwaters at low concentrations (in the range of ng L-1) which, however, can be toxic or mutagenic to aquatic organisms. The aim of this study was to determine the impact of the alkylating/crosslinking anticancer agents, cyclophosphamide (CP) and cisplatin (CDDP), at the concentration detected in water, on Daphnia magna life history, transcriptome, and proteome. This filter feeding cladoceran is an important member of the aquatic food webs controlling algal biomass and forming basic food for planktivorous fish. Here, observations of the D. magna growth rate, age at first reproduction, and the number of eggs produced were performed in the presence of CP or CDDP. The D. magna proteins and RNA were isolated and analysed by mass spectrometry and the mRNA-seq method, respectively. Five generations of contact with the pharmaceuticals in question significantly influenced the D. magna life history parameters with the growth rate and number of laid eggs decreased, whereas age at first reproduction was increased. A decrease in survivorship was observed when daphnids were exposed to CP. These changes are the result of modifications in the gene/transcript expression followed by differences in the proteome profile in comparison to the untreated control. The proteome changes were generally in accordance with the modified transcriptome. The ecotoxicogenomics approach makes it possible to get closer to a complete picture of the influence of CP and CDDP on Daphnia. We have gathered evidence that animals in the presence of anticancer pharmaceuticals attempt to cope with permanent stress by changing their proteome and transcriptome profile. Additionally, our analyses indicate that CDDP showed a stronger effect on tested organisms than CP.
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Affiliation(s)
- Damian Mielecki
- Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Pawińskiego 5a, 02-106 Warsaw, Poland; Department of Immunohematology, Centre of Postgraduate Medical Education, Marymoncka 99/103, 01-813 Warsaw, Poland
| | - Elżbieta Grzesiuk
- Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Pawińskiego 5a, 02-106 Warsaw, Poland
| | - Anna Bednarska
- Department of Hydrobiology, Faculty of Biology, University of Warsaw, Poland
| | - Damian Garbicz
- Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Pawińskiego 5a, 02-106 Warsaw, Poland; Maria Sklodowska-Curie National Research Institute of Oncology, Roentgena 5, Warsaw, Poland
| | - Bianka Świderska
- Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Pawińskiego 5a, 02-106 Warsaw, Poland
| | - Malgorzata Grzesiuk
- Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Pawińskiego 5a, 02-106 Warsaw, Poland; Department of Hydrobiology, Faculty of Biology, University of Warsaw, Poland; Department of Biochemistry and Microbiology, Institute of Biology; Warsaw University of Life Sciences (SGGW), Warsaw, Poland.
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