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Aguilar C, Williams D, Kurapati R, Bains RS, Mburu P, Parker A, Williams J, Concas D, Tateossian H, Haynes AR, Banks G, Vikhe P, Heise I, Hutchison M, Atkins G, Gillard S, Starbuck B, Oliveri S, Blake A, Sethi S, Kumar S, Bardhan T, Jeng JY, Johnson SL, Corns LF, Marcotti W, Simon M, Wells S, Potter PK, Lad HV. Pleiotropic brain function of whirlin identified by a novel mutation. iScience 2024; 27:110170. [PMID: 38974964 PMCID: PMC11225360 DOI: 10.1016/j.isci.2024.110170] [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: 03/11/2024] [Revised: 04/26/2024] [Accepted: 05/31/2024] [Indexed: 07/09/2024] Open
Abstract
Despite some evidence indicating diverse roles of whirlin in neurons, the functional corollary of whirlin gene function and behavior has not been investigated or broadly characterized. A single nucleotide variant was identified from our recessive ENU-mutagenesis screen at a donor-splice site in whirlin, a protein critical for proper sensorineural hearing function. The mutation (head-bob, hb) led to partial intron-retention causing a frameshift and introducing a premature termination codon. Mutant mice had a head-bobbing phenotype and significant hyperactivity across several phenotyping tests. Lack of complementation of head-bob with whirler mutant mice confirmed the head-bob mutation as functionally distinct with compound mutants having a mild-moderate hearing defect. Utilizing transgenics, we demonstrate rescue of the hyperactive phenotype and combined with the expression profiling data conclude whirlin plays an essential role in activity-related behaviors. These results highlight a pleiotropic role of whirlin within the brain and implicate alternative, central mediated pathways in its function.
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Affiliation(s)
- Carlos Aguilar
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
| | - Debbie Williams
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
- Mary Lyon Centre at MRC Harwell, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
| | - Ramakrishna Kurapati
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
| | - Rasneer S. Bains
- Mary Lyon Centre at MRC Harwell, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
| | - Philomena Mburu
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
| | - Andy Parker
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
| | - Jackie Williams
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
| | - Danilo Concas
- Mary Lyon Centre at MRC Harwell, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
| | - Hilda Tateossian
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
| | - Andrew R. Haynes
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
| | - Gareth Banks
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
| | - Pratik Vikhe
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
| | - Ines Heise
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
| | - Marie Hutchison
- Mary Lyon Centre at MRC Harwell, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
| | - Gemma Atkins
- Mary Lyon Centre at MRC Harwell, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
| | - Simon Gillard
- Mary Lyon Centre at MRC Harwell, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
| | - Becky Starbuck
- Mary Lyon Centre at MRC Harwell, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
| | - Simona Oliveri
- Mary Lyon Centre at MRC Harwell, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
| | - Andrew Blake
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
| | - Siddharth Sethi
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
| | - Saumya Kumar
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
| | - Tanaya Bardhan
- School of Biosciences, University of Sheffield, Sheffield, South Yorkshire S10 2TN, UK
| | - Jing-Yi Jeng
- School of Biosciences, University of Sheffield, Sheffield, South Yorkshire S10 2TN, UK
| | - Stuart L. Johnson
- School of Biosciences, University of Sheffield, Sheffield, South Yorkshire S10 2TN, UK
| | - Lara F. Corns
- School of Biosciences, University of Sheffield, Sheffield, South Yorkshire S10 2TN, UK
| | - Walter Marcotti
- School of Biosciences, University of Sheffield, Sheffield, South Yorkshire S10 2TN, UK
- Neuroscience Institute, University of Sheffield, Sheffield, South Yorkshire S10 2TN, UK
| | - Michelle Simon
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
| | - Sara Wells
- Mary Lyon Centre at MRC Harwell, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
| | - Paul K. Potter
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
| | - Heena V. Lad
- MRC Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Didcot, Oxfordshire OX11 0RD, UK
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2
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Arias KD, Fernández I, Gutiérrez JP, Álvarez I, Goyache F. Population dynamics of potentially harmful haplotypes: a pedigree analysis. BMC Genomics 2024; 25:487. [PMID: 38755557 PMCID: PMC11097446 DOI: 10.1186/s12864-024-10407-x] [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: 01/16/2024] [Accepted: 05/13/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND The identification of low-frequency haplotypes, never observed in homozygous state in a population, is considered informative on the presence of potentially harmful alleles (candidate alleles), putatively involved in inbreeding depression. Although identification of candidate alleles is challenging, studies analyzing the dynamics of potentially harmful alleles are lacking. A pedigree of the highly endangered Gochu Asturcelta pig breed, including 471 individuals belonging to 51 different families with at least 5 offspring each, was genotyped using the Axiom PigHDv1 Array (658,692 SNPs). Analyses were carried out on four different cohorts defined according to pedigree depth and at the whole population (WP) level. RESULTS The 4,470 Linkage Blocks (LB) identified in the Base Population (10 individuals), gathered a total of 16,981 alleles in the WP. Up to 5,466 (32%) haplotypes were statistically considered candidate alleles, 3,995 of them (73%) having one copy only. The number of alleles and candidate alleles varied across cohorts according to sample size. Up to 4,610 of the alleles identified in the WP (27% of the total) were present in one cohort only. Parentage analysis identified a total of 67,742 parent-offspring incompatibilities. The number of mismatches varied according to family size. Parent-offspring inconsistencies were identified in 98.2% of the candidate alleles and 100% of the LB in which they were located. Segregation analyses informed that most potential candidate alleles appeared de novo in the pedigree. Only 17 candidate alleles were identified in the boar, sow, and paternal and maternal grandparents and were considered segregants. CONCLUSIONS Our results suggest that neither mutation nor recombination are the major forces causing the apparition of candidate alleles. Their occurrence is more likely caused by Allele-Drop-In events due to SNP calling errors. New alleles appear when wrongly called SNPs are used to construct haplotypes. The presence of candidate alleles in either parents or grandparents of the carrier individuals does not ensure that they are true alleles. Minimum Allele Frequency thresholds may remove informative alleles. Only fully segregant candidate alleles should be considered potentially harmful alleles. A set of 16 candidate genes, potentially involved in inbreeding depression, is described.
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Affiliation(s)
- Katherine D Arias
- Área de Genética y Reproducción Animal, SERIDA-Deva, Camino de Rioseco 1225, Gijón, 33394, Spain
| | - Iván Fernández
- Área de Genética y Reproducción Animal, SERIDA-Deva, Camino de Rioseco 1225, Gijón, 33394, Spain
| | - Juan Pablo Gutiérrez
- Departamento de Producción Animal, Universidad Complutense de Madrid, Avda. Puerta de Hierro s/n, Madrid, 28040, Spain
| | - Isabel Álvarez
- Área de Genética y Reproducción Animal, SERIDA-Deva, Camino de Rioseco 1225, Gijón, 33394, Spain
| | - Félix Goyache
- Área de Genética y Reproducción Animal, SERIDA-Deva, Camino de Rioseco 1225, Gijón, 33394, Spain.
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3
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Medvedeva SM, Petrou A, Fesatidou M, Gavalas A, Geronikaki AA, Savosina PI, Druzhilovskiy DS, Poroikov VV, Shikhaliev KS, Kartsev VG. Anti-inflammatory action of new hybrid N-acyl-[1,2]dithiolo-[3,4- c]quinoline-1-thione. SAR AND QSAR IN ENVIRONMENTAL RESEARCH 2024; 35:343-366. [PMID: 38776241 DOI: 10.1080/1062936x.2024.2347965] [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: 02/12/2024] [Accepted: 04/18/2024] [Indexed: 05/24/2024]
Abstract
Most of pharmaceutical agents display a number of biological activities. It is obvious that testing even one compound for thousands of biological activities is not practically possible. A computer-aided prediction is therefore the method of choice in this case to select the most promising bioassays for particular compounds. Using the PASS Online software, we determined the probable anti-inflammatory action of the 12 new hybrid dithioloquinolinethiones derivatives. Chemical similarity search in the World-Wide Approved Drugs (WWAD) and DrugBank databases did not reveal close structural analogues with the anti-inflammatory action. Experimental testing of anti-inflammatory activity of the synthesized compounds in the carrageenan-induced inflammation mouse model confirmed the computational predictions. The anti-inflammatory activity of the studied compounds (2a, 3a-3k except for 3j) varied between 52.97% and 68.74%, being higher than the reference drug indomethacin (47%). The most active compounds appeared to be 3h (68.74%), 3k (66.91%) and 3b (63.74%) followed by 3e (61.50%). Thus, based on the in silico predictions a novel class of anti-inflammatory agents was discovered.
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Affiliation(s)
- S M Medvedeva
- Department of Organic Chemistry, Faculty of Chemistry, Voronezh State University, Voronezh, Russia
| | - A Petrou
- Department of Pharmaceutical Chemistry, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - M Fesatidou
- Department of Pharmaceutical Chemistry, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - A Gavalas
- Department of Pharmaceutical Chemistry, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - A A Geronikaki
- Department of Pharmaceutical Chemistry, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - P I Savosina
- Laboratory of Structure-Function Based Drug Design, Department of Bioinformatics, Institute of Biomedical Chemistry, Moscow, Russia
| | - D S Druzhilovskiy
- Laboratory of Structure-Function Based Drug Design, Department of Bioinformatics, Institute of Biomedical Chemistry, Moscow, Russia
| | - V V Poroikov
- Laboratory of Structure-Function Based Drug Design, Department of Bioinformatics, Institute of Biomedical Chemistry, Moscow, Russia
| | - K S Shikhaliev
- Department of Organic Chemistry, Faculty of Chemistry, Voronezh State University, Voronezh, Russia
| | - V G Kartsev
- InterBioScreen, Chernogolovka, Moscow Region, Russia
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Kafita D, Nkhoma P, Dzobo K, Sinkala M. Shedding light on the dark genome: Insights into the genetic, CRISPR-based, and pharmacological dependencies of human cancers and disease aggressiveness. PLoS One 2023; 18:e0296029. [PMID: 38117798 PMCID: PMC10732413 DOI: 10.1371/journal.pone.0296029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 12/05/2023] [Indexed: 12/22/2023] Open
Abstract
Investigating the human genome is vital for identifying risk factors and devising effective therapies to combat genetic disorders and cancer. Despite the extensive knowledge of the "light genome", the poorly understood "dark genome" remains understudied. In this study, we integrated data from 20,412 protein-coding genes in Pharos and 8,395 patient-derived tumours from The Cancer Genome Atlas (TCGA) to examine the genetic and pharmacological dependencies in human cancers and their treatment implications. We discovered that dark genes exhibited high mutation rates in certain cancers, similar to light genes. By combining the drug response profiles of cancer cells with cell fitness post-CRISPR-mediated gene knockout, we identified the crucial vulnerabilities associated with both dark and light genes. Our analysis also revealed that tumours harbouring dark gene mutations displayed worse overall and disease-free survival rates than those without such mutations. Furthermore, dark gene expression levels significantly influenced patient survival outcomes. Our findings demonstrated a similar distribution of genetic and pharmacological dependencies across the light and dark genomes, suggesting that targeting the dark genome holds promise for cancer treatment. This study underscores the need for ongoing research on the dark genome to better comprehend the underlying mechanisms of cancer and develop more effective therapies.
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Affiliation(s)
- Doris Kafita
- Department of Biomedical Sciences, University of Zambia, School of Health Sciences, Lusaka, Zambia
| | - Panji Nkhoma
- Department of Biomedical Sciences, University of Zambia, School of Health Sciences, Lusaka, Zambia
| | - Kevin Dzobo
- Department of Medicine, Division of Dermatology, Hair and Skin Research Laboratory, Wound and Keloid Scarring Research Unit, The South African Medical Research Council, University of Cape Town, Cape Town, South Africa
| | - Musalula Sinkala
- Department of Biomedical Sciences, University of Zambia, School of Health Sciences, Lusaka, Zambia
- Faculty of Health Sciences, Institute of Infectious Disease and Molecular Medicine and Department of Integrative Biomedical Sciences, University of Cape Town, Computational Biology Division, Cape Town, South Africa
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5
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Al Ali A, Alsulami J, Aubee JI, Idowu A, Tomlinson BR, Felton EA, Jackson JK, Kennedy SJ, Torres NJ, Shaw LN, Thompson KM. Staphylococcus aureus SigS Induces Expression of a Regulatory Protein Pair That Modulates Its mRNA Stability. J Bacteriol 2023; 205:e0039222. [PMID: 37255480 PMCID: PMC10294688 DOI: 10.1128/jb.00392-22] [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: 10/17/2022] [Accepted: 04/13/2023] [Indexed: 06/01/2023] Open
Abstract
SigS is the sole extracytoplasmic function sigma factor in Staphylococcus aureus and is necessary for virulence, immune evasion, and adaptation to toxic chemicals and environmental stressors. Despite the contribution of SigS to a myriad of critical phenotypes, the downstream effectors of SigS-dependent pathogenesis, immune evasion, and stress adaptation remain elusive. To address this knowledge gap, we analyzed the S. aureus transcriptome following transient overexpression of SigS. We identified a bicistronic transcript, upregulated 1,000-fold, containing two midsized genes, each containing single domains of unknown function (DUFs). We renamed these genes SigS-regulated orfA (sroA) and SigS-regulated orfB (sroB). We demonstrated that SigS regulation of the sroAB operon is direct by using in vitro transcription analysis. Using Northern blot analysis, we also demonstrated that SroA and SroB have opposing autoregulatory functions on the transcriptional architecture of the sigS locus, with SroA stimulating SigS mRNA levels and SroB stimulating s750 (SigS antisense) levels. We hypothesized that these opposing regulatory effects were due to a direct interaction. We subsequently demonstrated a direct interaction between SroA and SroB using an in vivo surrogate genetics approach via bacterial adenylate cyclase-based two-hybrid (BACTH) analysis. We demonstrated that the SroA effect on SigS is at the posttranscriptional level of mRNA stability, highlighting a mechanism likely used by S. aureus to tightly control SigS levels. Finally, we demonstrate that the sroAB locus promotes virulence in a murine pneumonia model of infection. IMPORTANCE SigS is necessary for S. aureus virulence, immune evasion, and adaptation to chemical and environmental stressors. These processes are critically important for the ability of S. aureus to cause disease. However, the SigS-dependent transcriptome has not been identified, hindering our ability to identify downstream effectors of SigS that contribute to these pathogenic and adaptive phenotypes. Here, we identify a regulatory protein pair that is a major direct target of SigS, known as SroA and SroB. SroA also acts to stimulate SigS expression at the posttranscriptional level of RNA turnover, providing insight into intrinsically low levels of SigS. The discovery of SroA and SroB increases our understanding of SigS and the S. aureus pathogenesis process.
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Affiliation(s)
- Amer Al Ali
- Department of Microbiology, College of Medicine, Howard University, Washington, DC, USA
| | - Jamilah Alsulami
- Department of Microbiology, College of Medicine, Howard University, Washington, DC, USA
| | - Joseph I. Aubee
- Department of Microbiology, College of Medicine, Howard University, Washington, DC, USA
| | - Ayotimofe Idowu
- Department of Biology, College of Arts and Sciences, Howard University, Washington, DC, USA
| | - Brooke R. Tomlinson
- Department of Cell Biology, Microbiology, and Molecular Biology, University of South Florida, Tampa, Florida, USA
| | - Emily A. Felton
- Department of Cell Biology, Microbiology, and Molecular Biology, University of South Florida, Tampa, Florida, USA
| | - Jessica K. Jackson
- Department of Cell Biology, Microbiology, and Molecular Biology, University of South Florida, Tampa, Florida, USA
| | - Sarah J. Kennedy
- Department of Cell Biology, Microbiology, and Molecular Biology, University of South Florida, Tampa, Florida, USA
| | - Nathanial J. Torres
- Department of Cell Biology, Microbiology, and Molecular Biology, University of South Florida, Tampa, Florida, USA
| | - Lindsey N. Shaw
- Department of Cell Biology, Microbiology, and Molecular Biology, University of South Florida, Tampa, Florida, USA
| | - Karl M. Thompson
- Department of Microbiology, College of Medicine, Howard University, Washington, DC, USA
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6
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Cacheiro P, Spielmann N, Mashhadi HH, Fuchs H, Gailus-Durner V, Smedley D, de Angelis MH. Knockout mice are an important tool for human monogenic heart disease studies. Dis Model Mech 2023; 16:288843. [PMID: 36825469 PMCID: PMC10073007 DOI: 10.1242/dmm.049770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 02/15/2023] [Indexed: 02/25/2023] Open
Abstract
Mouse models are relevant to studying the functionality of genes involved in human diseases; however, translation of phenotypes can be challenging. Here, we investigated genes related to monogenic forms of cardiovascular disease based on the Genomics England PanelApp and aligned them to International Mouse Phenotyping Consortium (IMPC) data. We found 153 genes associated with cardiomyopathy, cardiac arrhythmias or congenital heart disease in humans, of which 151 have one-to-one mouse orthologues. For 37.7% (57/151), viability and heart data captured by electrocardiography, transthoracic echocardiography, morphology and pathology from embryos and young adult mice are available. In knockout mice, 75.4% (43/57) of these genes showed non-viable phenotypes, whereas records of prenatal, neonatal or infant death in humans were found for 35.1% (20/57). Multisystem phenotypes are common, with 58.8% (20/34) of heterozygous (homozygous lethal) and 78.6% (11/14) of homozygous (viable) mice showing cardiovascular, metabolic/homeostasis, musculoskeletal, hematopoietic, nervous system and/or growth abnormalities mimicking the clinical manifestations observed in patients. These IMPC data are critical beyond cardiac diagnostics given their multisystemic nature, allowing detection of abnormalities across physiological systems and providing a valuable resource to understand pleiotropic effects.
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Affiliation(s)
- Pilar Cacheiro
- William Harvey Research Institute, Queen Mary University of London, London EC1M 6BQ, UK
| | - Nadine Spielmann
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, Munich 85764, Germany
| | - Hamed Haseli Mashhadi
- European Molecular Biology Laboratory-European Bioinformatics Institute, Hinxton CB10 1SD, UK
| | - Helmut Fuchs
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, Munich 85764, Germany
| | - Valerie Gailus-Durner
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, Munich 85764, Germany
| | - Damian Smedley
- William Harvey Research Institute, Queen Mary University of London, London EC1M 6BQ, UK
| | - Martin Hrabĕ de Angelis
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Center Munich, Munich 85764, Germany
- Chair of Experimental Genetics, TUM School of Life Sciences, Technische Universität München, Freising 85354, Germany
- German Center for Diabetes Research (DZD), Neuherberg 85764, Germany
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7
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Mazaya M, Kwon YK. In Silico Pleiotropy Analysis in KEGG Signaling Networks Using a Boolean Network Model. Biomolecules 2022; 12:biom12081139. [PMID: 36009032 PMCID: PMC9406064 DOI: 10.3390/biom12081139] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 08/10/2022] [Accepted: 08/15/2022] [Indexed: 11/16/2022] Open
Abstract
Pleiotropy, which refers to the ability of different mutations on the same gene to cause different pathological effects in human genetic diseases, is important in understanding system-level biological diseases. Although some biological experiments have been proposed, still little is known about pleiotropy on gene–gene dynamics, since most previous studies have been based on correlation analysis. Therefore, a new perspective is needed to investigate pleiotropy in terms of gene–gene dynamical characteristics. To quantify pleiotropy in terms of network dynamics, we propose a measure called in silico Pleiotropic Scores (sPS), which represents how much a gene is affected against a pair of different types of mutations on a Boolean network model. We found that our model can identify more candidate pleiotropic genes that are not known to be pleiotropic than the experimental database. In addition, we found that many types of functionally important genes tend to have higher sPS values than other genes; in other words, they are more pleiotropic. We investigated the relations of sPS with the structural properties in the signaling network and found that there are highly positive relations to degree, feedback loops, and centrality measures. This implies that the structural characteristics are principles to identify new pleiotropic genes. Finally, we found some biological evidence showing that sPS analysis is relevant to the real pleiotropic data and can be considered a novel candidate for pleiotropic gene research. Taken together, our results can be used to understand the dynamics pleiotropic characteristics in complex biological systems in terms of gene–phenotype relations.
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Affiliation(s)
- Maulida Mazaya
- Research Center for Computing, National Research and Innovation Agency (BRIN), Cibinong Science Center, Jl. Raya Jakarta-Bogor KM 46, Cibinong 16911, West Java, Indonesia
| | - Yung-Keun Kwon
- School of IT Convergence, University of Ulsan, 93 Daehak-ro, Nam-gu, Ulsan 44610, Korea
- Correspondence:
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8
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Liu B, Jing Z, Zhang X, Chen Y, Mao S, Kaundal R, Zou Y, Wei G, Zang Y, Wang X, Lin W, Di M, Sun Y, Chen Q, Li Y, Xia J, Sun J, Lin CP, Huang X, Chi T. Large-scale multiplexed mosaic CRISPR perturbation in the whole organism. Cell 2022; 185:3008-3024.e16. [PMID: 35870449 DOI: 10.1016/j.cell.2022.06.039] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 04/23/2022] [Accepted: 06/20/2022] [Indexed: 12/13/2022]
Abstract
Here, we report inducible mosaic animal for perturbation (iMAP), a transgenic platform enabling in situ CRISPR targeting of at least 100 genes in parallel throughout the mouse body. iMAP combines Cre-loxP and CRISPR-Cas9 technologies and utilizes a germline-transmitted transgene carrying a large array of individually floxed, tandemly linked gRNA-coding units. Cre-mediated recombination triggers expression of all the gRNAs in the array but only one of them per cell, converting the mice to mosaic organisms suitable for phenotypic characterization and also for high-throughput derivation of conventional single-gene perturbation lines via breeding. Using gRNA representation as a readout, we mapped a miniature Perturb-Atlas cataloging the perturbations of 90 genes across 39 tissues, which yields rich insights into context-dependent gene functions and provides a glimpse of the potential of iMAP in genome decoding.
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Affiliation(s)
- Bo Liu
- Gene Editing Center, School of Life Sciences and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Zhengyu Jing
- Gene Editing Center, School of Life Sciences and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Xiaoming Zhang
- Gene Editing Center, School of Life Sciences and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Yuxin Chen
- Gene Editing Center, School of Life Sciences and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Shaoshuai Mao
- Gene Editing Center, School of Life Sciences and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Ravinder Kaundal
- Department of Immunobiology, Yale University Medical School, New Haven, CT 06520, USA
| | - Yan Zou
- Gene Editing Center, School of Life Sciences and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Ge Wei
- Gene Editing Center, School of Life Sciences and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Ying Zang
- Gene Editing Center, School of Life Sciences and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Xinxin Wang
- Gene Editing Center, School of Life Sciences and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Wenyang Lin
- Gene Editing Center, School of Life Sciences and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Minghui Di
- Gene Editing Center, School of Life Sciences and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Yiwen Sun
- Gene Editing Center, School of Life Sciences and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Qin Chen
- Gene Editing Center, School of Life Sciences and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Yongqin Li
- Gene Editing Center, School of Life Sciences and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Jing Xia
- Gene Editing Center, School of Life Sciences and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Jianlong Sun
- Gene Editing Center, School of Life Sciences and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Chao-Po Lin
- Gene Editing Center, School of Life Sciences and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Xingxu Huang
- Gene Editing Center, School of Life Sciences and Technology, ShanghaiTech University, Shanghai 201210, China
| | - Tian Chi
- Gene Editing Center, School of Life Sciences and Technology, ShanghaiTech University, Shanghai 201210, China; Department of Immunobiology, Yale University Medical School, New Haven, CT 06520, USA.
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9
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Yadav N, Kirola L, Geetha TS, Mittal K, Kadandale J, Yogev Y, Birk OS, Gupta N, Balakrishnan P, Jana M, Gupta M, Kabra M, Thelma BK. A novel leaky splice variant in centromere protein J (CENPJ)-associated Seckel syndrome. Ann Hum Genet 2022; 86:245-256. [PMID: 35451063 DOI: 10.1111/ahg.12469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 03/12/2022] [Accepted: 03/31/2022] [Indexed: 11/29/2022]
Abstract
Primary microcephaly and Seckel syndrome are rare genetically and clinically heterogenous brain development disorders. Several exonic/splicing mutations are reported for these disorders to date, but ∼40% of all cases remain unexplained. We aimed to uncover the genetic correlate(s) in a family of multiple siblings with microcephaly. A novel homozygous intronic variant (NC_000013.10:g.25459823T>C) in CENPJ (13q12) segregating with all four affected male siblings was identified by exome sequencing and validated by targeted linkage approach (logarithm of the odds score 1.8 at θ 0.0). RT-PCR of CENPJ in affected siblings using their EBV derived cell lines showed aberrant transcripts suggestive of exon skipping confirmed by Sanger sequencing. Significantly reduced wild type transcript/protein in the affected siblings having the splice variant indicates a leaky gene expression of pathological relevance. Based on known CENPJ function, assessing for mitotic alterations revealed defect in centrosome duplication causing mono/multicentrosome(s) at prophase, delayed metaphase, and unequal chromosomal segregation in patient cells. Clinical features witnessed in this study expand the spectrum of CENPJ-associated primary microcephaly and Seckel syndrome. Furthermore, besides the importance of regulatory variants in classical monogenic disorders these findings provide new insights into splice site biology with possible implications for ASO-based therapies.
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Affiliation(s)
- Navneesh Yadav
- Department of Genetics, University of Delhi South Campus, New Delhi, India
| | - Laxmi Kirola
- Department of Genetics, University of Delhi South Campus, New Delhi, India.,Department of Molecular and Human Genetics, Banaras Hindu University, Uttar Pradesh, India
| | - Thenral S Geetha
- Department of Genetics, University of Delhi South Campus, New Delhi, India.,Medgenome, Labs, Bangalore, India
| | - Kirti Mittal
- Department of Genetics, University of Delhi South Campus, New Delhi, India.,Lunenfeld-Tanenbaum, Research Institute, Toronto, Canada
| | | | - Yuval Yogev
- The Morris Kahn Laboratory of Human Genetics, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Ohad S Birk
- The Morris Kahn Laboratory of Human Genetics, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Neerja Gupta
- Division of Genetics, Department of Paediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Prahlad Balakrishnan
- Division of Genetics, Department of Paediatrics, All India Institute of Medical Sciences, New Delhi, India.,Genes2me, Haryana, India
| | - Manisha Jana
- Department of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi, India
| | - Meena Gupta
- Department of Neurology, Institute of Human Behaviour and Allied Sciences, New Delhi, India.,Department of Neurology, Paras Hospitals, Haryana, India
| | - Madhulika Kabra
- Division of Genetics, Department of Paediatrics, All India Institute of Medical Sciences, New Delhi, India
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10
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Medvedeva SM, Shikhaliev KS, Geronikaki AA, Savosina PI, Druzhilovskiy DS, Poroikov VV. Computer-aided discovery of pleiotropic effects: Anti-inflammatory action of dithioloquinolinethiones as a case study. SAR AND QSAR IN ENVIRONMENTAL RESEARCH 2022; 33:273-287. [PMID: 35469533 DOI: 10.1080/1062936x.2022.2064547] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 04/05/2022] [Indexed: 06/14/2023]
Abstract
Most of pharmaceutical agents exhibit several or even many biological activities. It is clear that testing even one compound for thousands of biological activities is a practically not feasible task. Therefore, computer-aided prediction is the method-of-the-choice to select the most promising bioassays for particular compounds. Using PASS Online software, we determined the likely anti-inflammatory action of the 13 dithioloquinolinethione derivatives with antimicrobial activities. Chemical similarity search in the Cortellis Drug Discovery Intelligence database did not reveal close structural analogues with anti-inflammatory action. Experimental testing of anti-inflammatory activity of the synthesized compounds in carrageenan-induced inflammation mouse model confirmed the computational predictions. The anti-inflammatory activity of the studied compounds was comparable with or higher than the reference drug Indomethacin. Thus, based on the in silico predictions, novel class of the anti-inflammatory agents was discovered.
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Affiliation(s)
- S M Medvedeva
- Department of Organic Chemistry, Faculty of Chemistry, Voronezh State University, Voronezh, Russia
| | - K S Shikhaliev
- Department of Organic Chemistry, Faculty of Chemistry, Voronezh State University, Voronezh, Russia
| | - A A Geronikaki
- Department of Pharmaceutical Chemistry, School of Pharmacy, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - P I Savosina
- Laboratory of Structure-Function Based Drug Design, Department of Bioinformatics, Institute of Biomedical Chemistry, Moscow, Russia
| | - D S Druzhilovskiy
- Laboratory of Structure-Function Based Drug Design, Department of Bioinformatics, Institute of Biomedical Chemistry, Moscow, Russia
| | - V V Poroikov
- Laboratory of Structure-Function Based Drug Design, Department of Bioinformatics, Institute of Biomedical Chemistry, Moscow, Russia
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11
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Brown SDM. Advances in mouse genetics for the study of human disease. Hum Mol Genet 2021; 30:R274-R284. [PMID: 34089057 PMCID: PMC8490014 DOI: 10.1093/hmg/ddab153] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 05/28/2021] [Accepted: 06/01/2021] [Indexed: 01/11/2023] Open
Abstract
The mouse is the pre-eminent model organism for studies of mammalian gene function and has provided an extraordinarily rich range of insights into basic genetic mechanisms and biological systems. Over several decades, the characterization of mouse mutants has illuminated the relationship between gene and phenotype, providing transformational insights into the genetic bases of disease. However, if we are to deliver the promise of genomic and precision medicine, we must develop a comprehensive catalogue of mammalian gene function that uncovers the dark genome and elucidates pleiotropy. Advances in large-scale mouse mutagenesis programmes allied to high-throughput mouse phenomics are now addressing this challenge and systematically revealing novel gene function and multi-morbidities. Alongside the development of these pan-genomic mutational resources, mouse genetics is employing a range of diversity resources to delineate gene-gene and gene-environment interactions and to explore genetic context. Critically, mouse genetics is a powerful tool for assessing the functional impact of human genetic variation and determining the causal relationship between variant and disease. Together these approaches provide unique opportunities to dissect in vivo mechanisms and systems to understand pathophysiology and disease. Moreover, the provision and utility of mouse models of disease has flourished and engages cumulatively at numerous points across the translational spectrum from basic mechanistic studies to pre-clinical studies, target discovery and therapeutic development.
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12
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Pleiotropy data resource as a primer for investigating co-morbidities/multi-morbidities and their role in disease. Mamm Genome 2021; 33:135-142. [PMID: 34524473 PMCID: PMC8913486 DOI: 10.1007/s00335-021-09917-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 09/06/2021] [Indexed: 11/06/2022]
Abstract
Most current biomedical and protein research focuses only on a small proportion of genes, which results in a lost opportunity to identify new gene-disease associations and explore new opportunities for therapeutic intervention. The International Mouse Phenotyping Consortium (IMPC) focuses on elucidating gene function at scale for poorly characterized and/or under-studied genes. A key component of the IMPC initiative is the implementation of a broad phenotyping pipeline, which is facilitating the discovery of pleiotropy. Characterizing pleiotropy is essential to identify gene-disease associations, and it is of particular importance when elucidating the genetic causes of syndromic disorders. Here we show how the IMPC is effectively uncovering pleiotropy and how the new mouse models and gene function hypotheses generated by the IMPC are increasing our understanding of the mammalian genome, forming the basis of new research and identifying new gene-disease associations.
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13
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Goodman LD, Cope H, Nil Z, Ravenscroft TA, Charng WL, Lu S, Tien AC, Pfundt R, Koolen DA, Haaxma CA, Veenstra-Knol HE, Wassink-Ruiter JSK, Wevers MR, Jones M, Walsh LE, Klee VH, Theunis M, Legius E, Steel D, Barwick KES, Kurian MA, Mohammad SS, Dale RC, Terhal PA, van Binsbergen E, Kirmse B, Robinette B, Cogné B, Isidor B, Grebe TA, Kulch P, Hainline BE, Sapp K, Morava E, Klee EW, Macke EL, Trapane P, Spencer C, Si Y, Begtrup A, Moulton MJ, Dutta D, Kanca O, Wangler MF, Yamamoto S, Bellen HJ, Tan QKG. TNPO2 variants associate with human developmental delays, neurologic deficits, and dysmorphic features and alter TNPO2 activity in Drosophila. Am J Hum Genet 2021; 108:1669-1691. [PMID: 34314705 PMCID: PMC8456166 DOI: 10.1016/j.ajhg.2021.06.019] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 06/27/2021] [Indexed: 12/11/2022] Open
Abstract
Transportin-2 (TNPO2) mediates multiple pathways including non-classical nucleocytoplasmic shuttling of >60 cargoes, such as developmental and neuronal proteins. We identified 15 individuals carrying de novo coding variants in TNPO2 who presented with global developmental delay (GDD), dysmorphic features, ophthalmologic abnormalities, and neurological features. To assess the nature of these variants, functional studies were performed in Drosophila. We found that fly dTnpo (orthologous to TNPO2) is expressed in a subset of neurons. dTnpo is critical for neuronal maintenance and function as downregulating dTnpo in mature neurons using RNAi disrupts neuronal activity and survival. Altering the activity and expression of dTnpo using mutant alleles or RNAi causes developmental defects, including eye and wing deformities and lethality. These effects are dosage dependent as more severe phenotypes are associated with stronger dTnpo loss. Interestingly, similar phenotypes are observed with dTnpo upregulation and ectopic expression of TNPO2, showing that loss and gain of Transportin activity causes developmental defects. Further, proband-associated variants can cause more or less severe developmental abnormalities compared to wild-type TNPO2 when ectopically expressed. The impact of the variants tested seems to correlate with their position within the protein. Specifically, those that fall within the RAN binding domain cause more severe toxicity and those in the acidic loop are less toxic. Variants within the cargo binding domain show tissue-dependent effects. In summary, dTnpo is an essential gene in flies during development and in neurons. Further, proband-associated de novo variants within TNPO2 disrupt the function of the encoded protein. Hence, TNPO2 variants are causative for neurodevelopmental abnormalities.
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Affiliation(s)
- Lindsey D Goodman
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA
| | - Heidi Cope
- Division of Medical Genetics, Department of Pediatrics, Duke University Medical Center, Durham, NC 27710, USA
| | - Zelha Nil
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA
| | - Thomas A Ravenscroft
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA
| | - Wu-Lin Charng
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA
| | - Shenzhao Lu
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA
| | - An-Chi Tien
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA
| | - Rolph Pfundt
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, PO Box 9101, Nijmegen, the Netherlands
| | - David A Koolen
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, PO Box 9101, Nijmegen, the Netherlands
| | - Charlotte A Haaxma
- Department of Pediatric Neurology, Amalia Children's Hospital, Radboud University Medical Center, Nijmegen, Geert Grooteplein Zuid 10, 6525 GA, PO Box 9101, the Netherlands
| | - Hermine E Veenstra-Knol
- Department of Genetics, University of Groningen, University Medical Center Groningen, 9713 GZ Groningen, the Netherlands
| | - Jolien S Klein Wassink-Ruiter
- Department of Genetics, University of Groningen, University Medical Center Groningen, 9713 GZ Groningen, the Netherlands
| | - Marijke R Wevers
- Department of Genetics, Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands
| | - Melissa Jones
- Houston Area Pediatric Neurology, 24514 Kingsland Blvd, Katy, TX 77494, USA
| | - Laurence E Walsh
- Department of Pediatric Neurology, Riley Hospital for Children, Indianapolis, IN 46202, USA
| | - Victoria H Klee
- Department of Pediatric Neurology, Riley Hospital for Children, Indianapolis, IN 46202, USA
| | - Miel Theunis
- Center for Human Genetics, University Hospital Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Eric Legius
- Department of Human Genetics, University of Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Dora Steel
- Molecular Neurosciences, Developmental Neurosciences, UCL Great Ormond Street Institute of Child Health, London WC1N 1EH, UK; Department of Neurology, Great Ormond Street Hospital, London WC1N 3JH, UK
| | - Katy E S Barwick
- Molecular Neurosciences, Developmental Neurosciences, UCL Great Ormond Street Institute of Child Health, London WC1N 1EH, UK
| | - Manju A Kurian
- Molecular Neurosciences, Developmental Neurosciences, UCL Great Ormond Street Institute of Child Health, London WC1N 1EH, UK; Department of Neurology, Great Ormond Street Hospital, London WC1N 3JH, UK
| | - Shekeeb S Mohammad
- T.Y. Nelson Department of Neurology and Neurosurgery, The Children's Hospital at Westmead, Westmead, NSW 2145, Australia; Kids Neuroscience Centre, The Children's Hospital at Westmead, Faculty of Medicine and Health, Sydney Medical School, University of Sydney, Sydney, Westmead, NSW 2145, Australia
| | - Russell C Dale
- T.Y. Nelson Department of Neurology and Neurosurgery, The Children's Hospital at Westmead, Westmead, NSW 2145, Australia; Kids Neuroscience Centre, The Children's Hospital at Westmead, Faculty of Medicine and Health, Sydney Medical School, University of Sydney, Sydney, Westmead, NSW 2145, Australia
| | - Paulien A Terhal
- Department of Genetics, University Medical Center Utrecht, Lundlaan 6, 3584 EA Utrecht, the Netherlands
| | - Ellen van Binsbergen
- Department of Genetics, University Medical Center Utrecht, Lundlaan 6, 3584 EA Utrecht, the Netherlands
| | - Brian Kirmse
- Department of Pediatrics, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Bethany Robinette
- Department of Pediatrics, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Benjamin Cogné
- Centre hospitalier universitaire (CHU) de Nantes, Service de Génétique Médicale, 9 quai Moncousu, 44093 Nantes, France; INSERM, CNRS, UNIV Nantes, Centre hospitalier universitaire (CHU) de Nantes, l'institut du thorax, 44007 Nantes, France
| | - Bertrand Isidor
- Centre hospitalier universitaire (CHU) de Nantes, Service de Génétique Médicale, 9 quai Moncousu, 44093 Nantes, France; INSERM, CNRS, UNIV Nantes, Centre hospitalier universitaire (CHU) de Nantes, l'institut du thorax, 44007 Nantes, France
| | - Theresa A Grebe
- Phoenix Children's Hospital, Phoenix, AZ 85016, USA; Department of Child Health, University of Arizona College of Medicine Phoenix, Phoenix, AZ 85004, USA
| | - Peggy Kulch
- Phoenix Children's Hospital, Phoenix, AZ 85016, USA
| | - Bryan E Hainline
- Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Katherine Sapp
- Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Eva Morava
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55905, USA; Department of Clinical Genomics, Mayo Clinic, Rochester, MN 55905, USA
| | - Eric W Klee
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55905, USA; Department of Clinical Genomics, Mayo Clinic, Rochester, MN 55905, USA
| | - Erica L Macke
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Pamela Trapane
- University of Florida, College of Medicine, Jacksonville, Jacksonville, FL 32209, USA
| | - Christopher Spencer
- University of Florida, College of Medicine, Jacksonville, Jacksonville, FL 32209, USA
| | - Yue Si
- GeneDx, Gaithersburg, MD 20877, USA
| | | | - Matthew J Moulton
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA
| | - Debdeep Dutta
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA
| | - Oguz Kanca
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA
| | - Michael F Wangler
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA
| | - Shinya Yamamoto
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA; Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA; Development, Disease Models & Therapeutics Graduate Program, Baylor College of Medicine, Houston, TX 77030, USA
| | - Hugo J Bellen
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA; Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA; Development, Disease Models & Therapeutics Graduate Program, Baylor College of Medicine, Houston, TX 77030, USA; Howard Hughes Medical Institute, Baylor College of Medicine, Houston, TX 77030, USA.
| | - Queenie K-G Tan
- Division of Medical Genetics, Department of Pediatrics, Duke University Medical Center, Durham, NC 27710, USA.
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14
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Chakraborty S, Singhmar S, Singh D, Maulik M, Patil R, Agrawal SK, Mishra A, Ghazi M, Vats A, Natarajan VT, Juvekar S, Prasher B, Mukerji M. Baseline cell proliferation rates and response to UV differ in lymphoblastoid cell lines derived from healthy individuals of extreme constitution types. Cell Cycle 2021; 20:903-913. [PMID: 33870855 DOI: 10.1080/15384101.2021.1909884] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
Abstract
Differences in human phenotypes and susceptibility to complex diseases are an outcome of genetic and environmental interactions. This is evident in diseases that progress through a common set of intermediate patho-endophenotypes. Precision medicine aims to delineate molecular players for individualized and early interventions. Functional studies of lymphoblastoid cell line (LCL) model of phenotypically well-characterized healthy individuals can help deconvolute and validate these molecular mechanisms. In this study, LCLs are developed from eight healthy individuals belonging to three extreme constitution types, deep phenotyped on the basis of Ayurveda. LCLs were characterized by karyotyping and immunophenotyping. Growth characteristics and response to UV were studied in these LCLs. Significant differences in cell proliferation rates were observed between the contrasting groups such that one type (Kapha) proliferates significantly slower than the other two (Vata, Pitta). In response to UV, one of the fast growing groups (Vata) shows higher cell death but recovers its numbers due to an inherent higher rates of proliferation. This study reveals that baseline differences in cell proliferation could be a key to understanding the survivability of cells under UV stress. Variability in baseline cellular phenotypes not only explains the cellular basis of different constitution types but can also help set priors during the design of an individualized therapy with DNA damaging agents. This is the first study of its kind that shows variability of intermediate patho-phenotypes among healthy individuals with potential implications in precision medicine.
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Affiliation(s)
- Sumita Chakraborty
- Centre of Excellence for Applied Development of Ayurveda Prakriti and Genomics, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India.,CSIR Ayurgenomics Unit-TRISUTRA, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India.,Genomics and Molecular Medicine, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Sunanda Singhmar
- Centre of Excellence for Applied Development of Ayurveda Prakriti and Genomics, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India.,CSIR Ayurgenomics Unit-TRISUTRA, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India.,Genomics and Molecular Medicine, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Dayanidhi Singh
- Centre of Excellence for Applied Development of Ayurveda Prakriti and Genomics, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India.,CSIR Ayurgenomics Unit-TRISUTRA, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India.,Genomics and Molecular Medicine, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Mahua Maulik
- CSIR Ayurgenomics Unit-TRISUTRA, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India.,Department of Biological Sciences, Indian Institute of Science Education & Research, IISER Kolkata, Mohanpur, Nadia, West Bengal, India
| | - Rutuja Patil
- Vadu Rural Health Program, KEM Hospital Research Centre, Pune, Maharashtra, India
| | - Satyam Kumar Agrawal
- Centre of Excellence for Applied Development of Ayurveda Prakriti and Genomics, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India.,CSIR Ayurgenomics Unit-TRISUTRA, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India.,School of Pharmacy and Emerging Sciences (SPES), Baddi University of Emerging Science and Technology (BUEST), Baddi, Himachal Pradesh, India
| | - Anushree Mishra
- Genomics and Molecular Medicine, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India
| | - Madeeha Ghazi
- Genomics and Molecular Medicine, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Archana Vats
- Centre of Excellence for Applied Development of Ayurveda Prakriti and Genomics, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India.,CSIR Ayurgenomics Unit-TRISUTRA, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India
| | - Vivek T Natarajan
- Genomics and Molecular Medicine, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Sanjay Juvekar
- Vadu Rural Health Program, KEM Hospital Research Centre, Pune, Maharashtra, India
| | - Bhavana Prasher
- Centre of Excellence for Applied Development of Ayurveda Prakriti and Genomics, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India.,CSIR Ayurgenomics Unit-TRISUTRA, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India.,Genomics and Molecular Medicine, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Mitali Mukerji
- Centre of Excellence for Applied Development of Ayurveda Prakriti and Genomics, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India.,CSIR Ayurgenomics Unit-TRISUTRA, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India.,Genomics and Molecular Medicine, CSIR-Institute of Genomics & Integrative Biology, New Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
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15
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Little RB, Norris DP. Right, left and cilia: How asymmetry is established. Semin Cell Dev Biol 2021; 110:11-18. [PMID: 32571625 DOI: 10.1016/j.semcdb.2020.06.003] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 06/03/2020] [Accepted: 06/04/2020] [Indexed: 12/13/2022]
Abstract
The initial breaking of left-right (L-R) symmetry in the embryo is controlled by a motile-cilia-driven leftward fluid flow in the left-right organiser (LRO), resulting in L-R asymmetric gene expression flanking the LRO. Ultimately this results in left- but not right-sided activation of the Nodal-Pitx2 pathway in more lateral tissues. While aspects of the initial breaking event clearly vary between vertebrates, events in the Lateral Plate Mesoderm (LPM) are conserved through the vertebrate lineage. Evidence from model systems and humans highlights the role of cilia both in the initial symmetry breaking and in the ability of more lateral tissues to exhibit asymmetric gene expression. In this review we concentrate on the process of L-R determination in mouse and humans.
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Affiliation(s)
- Rosie B Little
- MRC Harwell Institute, Harwell Campus, Oxfordshire, OX11 0RD, UK
| | - Dominic P Norris
- MRC Harwell Institute, Harwell Campus, Oxfordshire, OX11 0RD, UK.
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