1
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Thor S. Indirect neurogenesis in space and time. Nat Rev Neurosci 2024; 25:519-534. [PMID: 38951687 DOI: 10.1038/s41583-024-00833-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/29/2024] [Indexed: 07/03/2024]
Abstract
During central nervous system (CNS) development, neural progenitor cells (NPCs) generate neurons and glia in two different ways. In direct neurogenesis, daughter cells differentiate directly into neurons or glia, whereas in indirect neurogenesis, neurons or glia are generated after one or more daughter cell divisions. Intriguingly, indirect neurogenesis is not stochastically deployed and plays instructive roles during CNS development: increased generation of cells from specific lineages; increased generation of early or late-born cell types within a lineage; and increased cell diversification. Increased indirect neurogenesis might contribute to the anterior CNS expansion evident throughout the Bilateria and help to modify brain-region size without requiring increased NPC numbers or extended neurogenesis. Increased indirect neurogenesis could be an evolutionary driver of the gyrencephalic (that is, folded) cortex that emerged during mammalian evolution and might even have increased during hominid evolution. Thus, selection of indirect versus direct neurogenesis provides a powerful developmental and evolutionary instrument that drives not only the evolution of CNS complexity but also brain expansion and modulation of brain-region size, and thereby the evolution of increasingly advanced cognitive abilities. This Review describes indirect neurogenesis in several model species and humans, and highlights some of the molecular genetic mechanisms that control this important process.
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Affiliation(s)
- Stefan Thor
- School of Biomedical Sciences, The University of Queensland, St Lucia, Queensland, Australia.
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2
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Furlanetto F, Frank S, Karow M. Unlocking the potential of SY-stem cells. Development 2024; 151:dev203086. [PMID: 38895963 DOI: 10.1242/dev.203086] [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] [Indexed: 06/21/2024]
Abstract
The sixth SY-Stem Symposium, jointly organized by the Research Institute of Molecular Pathology and the Institute of Molecular Biotechnology took place in Vienna in March 2024. Again, aspiring new group leaders were given a stage to present their work and vision of their labs. To round up the excellent program, the scientific organizers included renowned keynote speakers. Here, we provide a summary of the talks covering topics such as early embryogenesis, nervous system development and disease, regeneration and the latest technologies.
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Affiliation(s)
- Federica Furlanetto
- Institute of Biochemistry, Friedrich-Alexander-Universität Erlangen-Nürnberg,Fahrstrasse 17, 91054 Erlangen, Germany
| | - Sarah Frank
- Institute of Biochemistry, Friedrich-Alexander-Universität Erlangen-Nürnberg,Fahrstrasse 17, 91054 Erlangen, Germany
| | - Marisa Karow
- Institute of Biochemistry, Friedrich-Alexander-Universität Erlangen-Nürnberg,Fahrstrasse 17, 91054 Erlangen, Germany
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3
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Lambourne L, Mattioli K, Santoso C, Sheynkman G, Inukai S, Kaundal B, Berenson A, Spirohn-Fitzgerald K, Bhattacharjee A, Rothman E, Shrestha S, Laval F, Yang Z, Bisht D, Sewell JA, Li G, Prasad A, Phanor S, Lane R, Campbell DM, Hunt T, Balcha D, Gebbia M, Twizere JC, Hao T, Frankish A, Riback JA, Salomonis N, Calderwood MA, Hill DE, Sahni N, Vidal M, Bulyk ML, Fuxman Bass JI. Widespread variation in molecular interactions and regulatory properties among transcription factor isoforms. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.12.584681. [PMID: 38617209 PMCID: PMC11014633 DOI: 10.1101/2024.03.12.584681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
Most human Transcription factors (TFs) genes encode multiple protein isoforms differing in DNA binding domains, effector domains, or other protein regions. The global extent to which this results in functional differences between isoforms remains unknown. Here, we systematically compared 693 isoforms of 246 TF genes, assessing DNA binding, protein binding, transcriptional activation, subcellular localization, and condensate formation. Relative to reference isoforms, two-thirds of alternative TF isoforms exhibit differences in one or more molecular activities, which often could not be predicted from sequence. We observed two primary categories of alternative TF isoforms: "rewirers" and "negative regulators", both of which were associated with differentiation and cancer. Our results support a model wherein the relative expression levels of, and interactions involving, TF isoforms add an understudied layer of complexity to gene regulatory networks, demonstrating the importance of isoform-aware characterization of TF functions and providing a rich resource for further studies.
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Affiliation(s)
- Luke Lambourne
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kaia Mattioli
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Clarissa Santoso
- Department of Biology, Boston University, Boston, MA, USA
- Bioinformatics Program, Boston University, Boston, MA, USA
| | - Gloria Sheynkman
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Sachi Inukai
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Babita Kaundal
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Anna Berenson
- Molecular Biology, Cell Biology & Biochemistry Program, Boston University, Boston, MA, USA
| | - Kerstin Spirohn-Fitzgerald
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Anukana Bhattacharjee
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Elisabeth Rothman
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Florent Laval
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- TERRA Teaching and Research Centre, University of Liège, Gembloux, Belgium
- Laboratory of Viral Interactomes, GIGA Institute, University of Liège, Liège, Belgium
| | - Zhipeng Yang
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Deepa Bisht
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jared A Sewell
- Department of Biology, Boston University, Boston, MA, USA
| | - Guangyuan Li
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Anisa Prasad
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Harvard College, Cambridge MA, USA
| | - Sabrina Phanor
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Ryan Lane
- Department of Biology, Boston University, Boston, MA, USA
| | | | - Toby Hunt
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Dawit Balcha
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Marinella Gebbia
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA
- The Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute (LTRI), Sinai Health System, Toronto, Ontario, Canada
| | - Jean-Claude Twizere
- TERRA Teaching and Research Centre, University of Liège, Gembloux, Belgium
- Laboratory of Viral Interactomes, GIGA Institute, University of Liège, Liège, Belgium
| | - Tong Hao
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Adam Frankish
- Laboratory of Viral Interactomes, GIGA Institute, University of Liège, Liège, Belgium
| | - Josh A Riback
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
| | - Nathan Salomonis
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Michael A Calderwood
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - David E Hill
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Nidhi Sahni
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marc Vidal
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Martha L Bulyk
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Juan I Fuxman Bass
- Department of Biology, Boston University, Boston, MA, USA
- Bioinformatics Program, Boston University, Boston, MA, USA
- Molecular Biology, Cell Biology & Biochemistry Program, Boston University, Boston, MA, USA
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4
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Schieweck R, Götz M. Pan-cellular organelles and suborganelles-from common functions to cellular diversity? Genes Dev 2024; 38:98-114. [PMID: 38485267 PMCID: PMC10982711 DOI: 10.1101/gad.351337.123] [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] [Indexed: 04/02/2024]
Abstract
Cell diversification is at the base of increasing multicellular organism complexity in phylogeny achieved during ontogeny. However, there are also functions common to all cells, such as cell division, cell migration, translation, endocytosis, exocytosis, etc. Here we revisit the organelles involved in such common functions, reviewing recent evidence of unexpected differences of proteins at these organelles. For instance, centrosomes or mitochondria differ significantly in their protein composition in different, sometimes closely related, cell types. This has relevance for development and disease. Particularly striking is the high amount and diversity of RNA-binding proteins at these and other organelles, which brings us to review the evidence for RNA at different organelles and suborganelles. We include a discussion about (sub)organelles involved in translation, such as the nucleolus and ribosomes, for which unexpected cell type-specific diversity has also been reported. We propose here that the heterogeneity of these organelles and compartments represents a novel mechanism for regulating cell diversity. One reason is that protein functions can be multiplied by their different contributions in distinct organelles, as also exemplified by proteins with moonlighting function. The specialized organelles still perform pan-cellular functions but in a cell type-specific mode, as discussed here for centrosomes, mitochondria, vesicles, and other organelles. These can serve as regulatory hubs for the storage and transport of specific and functionally important regulators. In this way, they can control cell differentiation, plasticity, and survival. We further include examples highlighting the relevance for disease and propose to examine organelles in many more cell types for their possible differences with functional relevance.
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Affiliation(s)
- Rico Schieweck
- Institute of Biophysics, National Research Council (CNR) Unit at Trento, 38123 Povo, Italy;
- Biomedical Center (BMC), Department of Physiological Genomics, Ludwig-Maximilians-University, 82152 Planegg-Martinsried, Germany
| | - Magdalena Götz
- Biomedical Center (BMC), Department of Physiological Genomics, Ludwig-Maximilians-University, 82152 Planegg-Martinsried, Germany;
- Institute of Stem Cell Research, Helmholtz Center Munich, German Research Center for Environmental Health, 82152 Planegg-Martinsried, Germany
- SYNERGY, Excellence Cluster of Systems Neurology, Biomedical Center, Ludwig-Maximilians-University, 82152 Planegg-Martinsried, Germany
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5
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Parra AS, Johnston CA. Phase Separation as a Driver of Stem Cell Organization and Function during Development. J Dev Biol 2023; 11:45. [PMID: 38132713 PMCID: PMC10743522 DOI: 10.3390/jdb11040045] [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: 11/07/2023] [Revised: 12/04/2023] [Accepted: 12/08/2023] [Indexed: 12/23/2023] Open
Abstract
A properly organized subcellular composition is essential to cell function. The canonical organizing principle within eukaryotic cells involves membrane-bound organelles; yet, such structures do not fully explain cellular complexity. Furthermore, discrete non-membrane-bound structures have been known for over a century. Liquid-liquid phase separation (LLPS) has emerged as a ubiquitous mode of cellular organization without the need for formal lipid membranes, with an ever-expanding and diverse list of cellular functions that appear to be regulated by this process. In comparison to traditional organelles, LLPS can occur across wider spatial and temporal scales and involves more distinct protein and RNA complexes. In this review, we discuss the impacts of LLPS on the organization of stem cells and their function during development. Specifically, the roles of LLPS in developmental signaling pathways, chromatin organization, and gene expression will be detailed, as well as its impacts on essential processes of asymmetric cell division. We will also discuss how the dynamic and regulated nature of LLPS may afford stem cells an adaptable mode of organization throughout the developmental time to control cell fate. Finally, we will discuss how aberrant LLPS in these processes may contribute to developmental defects and disease.
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6
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Sacco JC, Starr E, Weaver A, Dietz R, Spocter MA. Resequencing of the TMF-1 (TATA Element Modulatory Factor) regulated protein (TRNP1) gene in domestic and wild canids. Canine Med Genet 2023; 10:10. [PMID: 37968761 PMCID: PMC10647097 DOI: 10.1186/s40575-023-00133-0] [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: 07/06/2023] [Accepted: 10/27/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND Cortical folding is related to the functional organization of the brain. The TMF-1 regulated protein (TRNP1) regulates the expansion and folding of the mammalian cerebral cortex, a process that may have been accelerated by the domestication of dogs. The objectives of this study were to sequence the TRNP1 gene in dogs and related canid species, provide evidence of its expression in dog brain and compare the genetic variation within dogs and across the Canidae. The gene was located in silico to dog chromosome 2. The sequence was experimentally confirmed by amplifying and sequencing the TRNP1 exonic and promoter regions in 72 canids (36 purebred dogs, 20 Gy wolves and wolf-dog hybrids, 10 coyotes, 5 red foxes and 1 Gy fox). RESULTS A partial TRNP1 transcript was isolated from several regions in the dog brain. Thirty genetic polymorphisms were found in the Canis sp. with 17 common to both dogs and wolves, and only one unique to dogs. Seven polymorphisms were observed only in coyotes. An additional 9 variants were seen in red foxes. Dogs were the least genetically diverse. Several polymorphisms in the promoter and 3'untranslated region were predicted to alter TRNP1 function by interfering with the binding of transcriptional repressors and miRNAs expressed in neural precursors. A c.259_264 deletion variant that encodes a polyalanine expansion was polymorphic in all species studied except for dogs. A stretch of 15 nucleotides that is found in other mammalian sequences (corresponding to 5 amino acids located between Pro58 and Ala59 in the putative dog protein) was absent from the TRNP1 sequences of all 5 canid species sequenced. Both of these aforementioned coding sequence variations were predicted to affect the formation of alpha helices in the disordered region of the TRNP1 protein. CONCLUSIONS Potentially functionally important polymorphisms in the TRNP1 gene are found within and across various Canis species as well as the red fox, and unique differences in protein structure have evolved and been conserved in the Canidae compared to all other mammalian species.
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Affiliation(s)
- James C Sacco
- Ellis Pharmacogenomics Laboratory, College of Pharmacy and Health Sciences, Drake University, 50311, Des Moines, IA, USA.
| | - Emma Starr
- Ellis Pharmacogenomics Laboratory, College of Pharmacy and Health Sciences, Drake University, 50311, Des Moines, IA, USA
| | - Alyssa Weaver
- Ellis Pharmacogenomics Laboratory, College of Pharmacy and Health Sciences, Drake University, 50311, Des Moines, IA, USA
| | - Rachel Dietz
- Ellis Pharmacogenomics Laboratory, College of Pharmacy and Health Sciences, Drake University, 50311, Des Moines, IA, USA
| | - Muhammad A Spocter
- Department of Anatomy, Des Moines University, 50266, Des Moines, IA, USA
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7
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Kliesmete Z, Wange LE, Vieth B, Esgleas M, Radmer J, Hülsmann M, Geuder J, Richter D, Ohnuki M, Götz M, Hellmann I, Enard W. Regulatory and coding sequences of TRNP1 co-evolve with brain size and cortical folding in mammals. eLife 2023; 12:e83593. [PMID: 36947129 PMCID: PMC10032658 DOI: 10.7554/elife.83593] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 03/01/2023] [Indexed: 03/23/2023] Open
Abstract
Brain size and cortical folding have increased and decreased recurrently during mammalian evolution. Identifying genetic elements whose sequence or functional properties co-evolve with these traits can provide unique information on evolutionary and developmental mechanisms. A good candidate for such a comparative approach is TRNP1, as it controls proliferation of neural progenitors in mice and ferrets. Here, we investigate the contribution of both regulatory and coding sequences of TRNP1 to brain size and cortical folding in over 30 mammals. We find that the rate of TRNP1 protein evolution (ω) significantly correlates with brain size, slightly less with cortical folding and much less with body size. This brain correlation is stronger than for >95% of random control proteins. This co-evolution is likely affecting TRNP1 activity, as we find that TRNP1 from species with larger brains and more cortical folding induce higher proliferation rates in neural stem cells. Furthermore, we compare the activity of putative cis-regulatory elements (CREs) of TRNP1 in a massively parallel reporter assay and identify one CRE that likely co-evolves with cortical folding in Old World monkeys and apes. Our analyses indicate that coding and regulatory changes that increased TRNP1 activity were positively selected either as a cause or a consequence of increases in brain size and cortical folding. They also provide an example how phylogenetic approaches can inform biological mechanisms, especially when combined with molecular phenotypes across several species.
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Affiliation(s)
- Zane Kliesmete
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-UniversitätMunichGermany
| | - Lucas Esteban Wange
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-UniversitätMunichGermany
| | - Beate Vieth
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-UniversitätMunichGermany
| | - Miriam Esgleas
- Physiological Genomics, BioMedical Center - BMC, Ludwig-Maximilians-UniversitätMunichGermany
- Institute for Stem Cell Research, Helmholtz Zentrum München, Germany Research Center for Environmental HealthMunichGermany
| | - Jessica Radmer
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-UniversitätMunichGermany
| | - Matthias Hülsmann
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-UniversitätMunichGermany
- Department of Environmental Microbiology, EawagDübendorfSwitzerland
- Department of Environmental Systems Science, ETH ZurichZurichSwitzerland
| | - Johanna Geuder
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-UniversitätMunichGermany
| | - Daniel Richter
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-UniversitätMunichGermany
| | - Mari Ohnuki
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-UniversitätMunichGermany
| | - Magdelena Götz
- Physiological Genomics, BioMedical Center - BMC, Ludwig-Maximilians-UniversitätMunichGermany
- Institute for Stem Cell Research, Helmholtz Zentrum München, Germany Research Center for Environmental HealthMunichGermany
- SYNERGY, Excellence Cluster of Systems Neurology, BioMedical Center (BMC), Ludwig-Maximilians-Universität MünchenMunichGermany
| | - Ines Hellmann
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-UniversitätMunichGermany
| | - Wolfgang Enard
- Anthropology and Human Genomics, Faculty of Biology, Ludwig-Maximilians-UniversitätMunichGermany
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Ren Z, Gao D, Luo Y, Song Z, Wu G, Qi N, Li A, Liu X. Identification of fatty acid metabolism-related clusters and immune infiltration features in hepatocellular carcinoma. Aging (Albany NY) 2023; 15:1496-1523. [PMID: 36881382 PMCID: PMC10042688 DOI: 10.18632/aging.204557] [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: 09/12/2022] [Accepted: 02/15/2023] [Indexed: 03/08/2023]
Abstract
Hepatocellular Carcinoma (HCC) is a type of liver cancer which is characterized by inflammation-associated tumor. The unique characteristics of tumor immune microenvironment in HCC contribute to hepatocarcinogenesis. It was also clarified that aberrant fatty acid metabolism (FAM) might accelerate tumor growth and metastasis of HCC. In this study, we aimed to identify fatty acid metabolism-related clusters and establish a novel prognostic risk model in HCC. Gene expression and corresponding clinical data were searched from the Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) portal. From the TCGA database, by unsupervised clustering method, we determined three FAM clusters and two gene clusters with distinct clinicopathological and immune characteristics. Based on 79 prognostic genes identified from 190 differentially expressed genes (DEGs) among three FAM clusters, five prognostic DEGs (CCDC112, TRNP1, CFL1, CYB5D2, and SLC22A1) were determined to construct risk model by least absolute shrinkage and selection operator (LASSO) and multivariate cox regression analysis. Furthermore, the ICGC dataset was used to validate the model. In conclusion, the prognostic risk model constructed in this study exhibited excellent indicator performance of overall survival, clinical feature, and immune cell infiltration, which has the potential to be an effective biomarker for HCC immunotherapy.
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Affiliation(s)
- Zhixuan Ren
- Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510315, China
- Cancer Center, Southern Medical University, Guangzhou 510315, China
| | - Duan Gao
- Department of Pharmacy, Guilin Medical University, Guilin 541004, China
| | - Yue Luo
- Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510315, China
- Cancer Center, Southern Medical University, Guangzhou 510315, China
| | - Zhenghui Song
- Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510315, China
- Cancer Center, Southern Medical University, Guangzhou 510315, China
| | - Guojing Wu
- Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510315, China
- Cancer Center, Southern Medical University, Guangzhou 510315, China
| | - Na Qi
- Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510315, China
- Department of Pharmacy, Guilin Medical University, Guilin 541004, China
| | - Aimin Li
- Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510315, China
- Cancer Center, Southern Medical University, Guangzhou 510315, China
| | - Xinhui Liu
- Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510315, China
- Cancer Center, Southern Medical University, Guangzhou 510315, China
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9
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Zhang Z, Freeman M, Zhang Y, El-Nachef D, Davenport G, Williams A, MacLellan WR. Hippo signaling and histone methylation control cardiomyocyte cell cycle re-entry through distinct transcriptional pathways. PLoS One 2023; 18:e0281610. [PMID: 36780463 PMCID: PMC9925018 DOI: 10.1371/journal.pone.0281610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 01/26/2023] [Indexed: 02/15/2023] Open
Abstract
AIMS Accumulating data demonstrates that new adult cardiomyocytes (CMs) are generated throughout life from pre-existing CMs, although the absolute magnitude of CM self-renewal is very low. Modifying epigenetic histone modifications or activating the Hippo-Yap pathway have been shown to promote adult CM cycling and proliferation. Whether these interventions work through common pathways or act independently is unknown. For the first time we have determined whether lysine demethylase 4D (KDM4D)-mediated CM-specific H3K9 demethylation and Hippo pathways inhibition have additive or redundant roles in promoting CM cell cycle re-entry. METHODS AND RESULTS We found that activating Yap1 in cultured neonatal rat ventricular myocytes (NRVM) through overexpressing Hippo pathway inhibitor, miR-199, preferentially increased S-phase CMs, while H3K9me3 demethylase KDM4D preferentially increased G2/M markers in CMs. Together KDM4D and miR-199 further increased total cell number of NRVMs in culture. Inhibition of Hippo signaling via knock-down of Salvador Family WW Domain Containing Protein 1 (Sav1) also led to S-phase reactivation and additional cell cycle re-entry was seen when combined with KDM4D overexpression. Inducible activating KDM4D (iKDM4D) in adult transgenic mice together with shRNA mediated knock-down of Sav1 (iKDM4D+Sav1-sh) resulted in a significant increase in cycling CMs compared to either intervention alone. KDM4D preferentially induced expression of genes regulating late (G2/M) phases of the cell cycle, while miR-199 and si-Sav1 preferentially up-regulated genes involved in G1/S phase. KDM4D upregulated E2F1 and FoxM1 expression, whereas miR-199 and si-Sav1 induced Myc. Using transgenic mice over-expressing KDM4D together with Myc, we demonstrated that KDM4D/Myc significantly increased CM cell cycling but did not affect cardiac function. CONCLUSIONS KDM4D effects on CM cell cycle activity are additive with the Hippo-Yap1 pathway and appear to preferentially regulate different cell cycle regulators. This may have important implications for strategies that target cardiac regeneration in treating heart disease.
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Affiliation(s)
- Zhenhe Zhang
- Cardiology Division, Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Center for Cardiovascular Biology, University of Washington, Seattle, Washington, United States of America
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, Washington, United States of America
| | - Miles Freeman
- Cardiology Division, Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Center for Cardiovascular Biology, University of Washington, Seattle, Washington, United States of America
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, Washington, United States of America
| | - Yiqiang Zhang
- Cardiology Division, Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Center for Cardiovascular Biology, University of Washington, Seattle, Washington, United States of America
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, Washington, United States of America
- Department of Anatomy, Biochemistry and Physiology, John A. Burn School of Medicine, University of Hawaii, Honolulu, Hawaii, United States of America
| | - Danny El-Nachef
- Cardiology Division, Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Center for Cardiovascular Biology, University of Washington, Seattle, Washington, United States of America
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, Washington, United States of America
| | - George Davenport
- Cardiology Division, Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Center for Cardiovascular Biology, University of Washington, Seattle, Washington, United States of America
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, Washington, United States of America
| | - Allison Williams
- Cardiology Division, Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Center for Cardiovascular Biology, University of Washington, Seattle, Washington, United States of America
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, Washington, United States of America
| | - W. Robb MacLellan
- Cardiology Division, Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Center for Cardiovascular Biology, University of Washington, Seattle, Washington, United States of America
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, Washington, United States of America
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10
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Camargo Ortega G, Götz M. Centrosome heterogeneity in stem cells regulates cell diversity. Trends Cell Biol 2022; 32:707-719. [PMID: 35750615 DOI: 10.1016/j.tcb.2022.03.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 03/14/2022] [Accepted: 03/21/2022] [Indexed: 11/27/2022]
Abstract
Stem cells are at the source of creating cellular diversity. Multiple mechanisms, including basic cell biological processes, regulate their fate. The centrosome is at the core of many stem cell functions and recent work highlights the association of distinct proteins at the centrosome in stem cell differentiation. As showcased by a novel centrosome protein regulating neural stem cell differentiation, it is timely to review the heterogeneity of the centrosome at protein and RNA levels and how this impacts their function in stem and progenitor cells. Together with evidence for heterogeneity of other organelles so far considered as similar between cells, we call for exploring the cell type-specific composition of organelles as a way to expand protein function in development with relevance to regenerative medicine.
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Affiliation(s)
- Germán Camargo Ortega
- Department of Biosystems Science and Engineering, ETH, Zurich, 4058 Basel, Switzerland.
| | - Magdalena Götz
- Institute of Stem Cell Research, Helmholtz Center Munich, 82152 Planegg-Martinsried, Germany; Physiological Genomics, Biomedical Center, Ludwig-Maximilians University, 82152 Planegg-Martinsried, Germany; 4 SYNERGY, Excellence Cluster of Systems Neurology, Biomedical Center, Ludwig-Maximilians-University, 82152 Planegg-Martinsried, Germany.
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11
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Gutierrez‐Beltran E, Elander PH, Dalman K, Dayhoff GW, Moschou PN, Uversky VN, Crespo JL, Bozhkov PV. Tudor staphylococcal nuclease is a docking platform for stress granule components and is essential for SnRK1 activation in Arabidopsis. EMBO J 2021; 40:e105043. [PMID: 34287990 PMCID: PMC8447601 DOI: 10.15252/embj.2020105043] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 06/23/2021] [Accepted: 07/01/2021] [Indexed: 12/19/2022] Open
Abstract
Tudor staphylococcal nuclease (TSN; also known as Tudor-SN, p100, or SND1) is a multifunctional, evolutionarily conserved regulator of gene expression, exhibiting cytoprotective activity in animals and plants and oncogenic activity in mammals. During stress, TSN stably associates with stress granules (SGs), in a poorly understood process. Here, we show that in the model plant Arabidopsis thaliana, TSN is an intrinsically disordered protein (IDP) acting as a scaffold for a large pool of other IDPs, enriched for conserved stress granule components as well as novel or plant-specific SG-localized proteins. While approximately 30% of TSN interactors are recruited to stress granules de novo upon stress perception, 70% form a protein-protein interaction network present before the onset of stress. Finally, we demonstrate that TSN and stress granule formation promote heat-induced activation of the evolutionarily conserved energy-sensing SNF1-related protein kinase 1 (SnRK1), the plant orthologue of mammalian AMP-activated protein kinase (AMPK). Our results establish TSN as a docking platform for stress granule proteins, with an important role in stress signalling.
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Affiliation(s)
- Emilio Gutierrez‐Beltran
- Instituto de Bioquímica Vegetal y FotosíntesisConsejo Superior de Investigaciones Científicas (CSIC)‐Universidad de SevillaSevillaSpain
- Departamento de Bioquímica Vegetal y Biología MolecularFacultad de BiologíaUniversidad de SevillaSevillaSpain
| | - Pernilla H Elander
- Department of Molecular SciencesUppsala BioCenterSwedish University of Agricultural Sciences and Linnean Center for Plant BiologyUppsalaSweden
| | - Kerstin Dalman
- Department of Molecular SciencesUppsala BioCenterSwedish University of Agricultural Sciences and Linnean Center for Plant BiologyUppsalaSweden
| | - Guy W Dayhoff
- Department of ChemistryCollege of Art and SciencesUniversity of South FloridaTampaFLUSA
| | - Panagiotis N Moschou
- Institute of Molecular Biology and BiotechnologyFoundation for Research and Technology ‐ HellasHeraklionGreece
- Department of Plant BiologyUppsala BioCenterSwedish University of Agricultural Sciences and Linnean Center for Plant BiologyUppsalaSweden
- Department of BiologyUniversity of CreteHeraklionGreece
| | - Vladimir N Uversky
- Department of Molecular Medicine and USF Health Byrd Alzheimer's Research Institute, Morsani College of MedicineUniversity of South FloridaTampaFLUSA
- Institute for Biological Instrumentation of the Russian Academy of SciencesFederal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences”PushchinoRussia
| | - Jose L Crespo
- Instituto de Bioquímica Vegetal y FotosíntesisConsejo Superior de Investigaciones Científicas (CSIC)‐Universidad de SevillaSevillaSpain
| | - Peter V Bozhkov
- Department of Molecular SciencesUppsala BioCenterSwedish University of Agricultural Sciences and Linnean Center for Plant BiologyUppsalaSweden
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12
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Vierl F, Kaur M, Götz M. Non-codon Optimized PiggyBac Transposase Induces Developmental Brain Aberrations: A Call for in vivo Analysis. Front Cell Dev Biol 2021; 9:698002. [PMID: 34414186 PMCID: PMC8369470 DOI: 10.3389/fcell.2021.698002] [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: 04/20/2021] [Accepted: 07/14/2021] [Indexed: 11/13/2022] Open
Abstract
In this perspective article, we briefly review tools for stable gain-of-function expression to explore key fate determinants in embryonic brain development. As the piggyBac transposon system has the highest insert size, a seamless integration of the transposed sequence into the host genome, and can be delivered by transfection avoiding viral vectors causing an immune response, we explored its use in the murine developing forebrain. The original piggyBac transposase PBase or the mouse codon-optimized version mPB and the construct to insert, contained in the piggyBac transposon, were introduced by in utero electroporation at embryonic day 13 into radial glia, the neural stem cells, in the developing dorsal telencephalon, and analyzed 3 or 5 days later. When using PBase, we observed an increase in basal progenitor cells, often accompanied by folding aberrations. These effects were considerably ameliorated when using the piggyBac plasmid together with mPB. While size and strength of the electroporated region was not correlated to the aberrations, integration was essential and the positive correlation to the insert size implicates the frequency of transposition as a possible mechanism. We discuss this in light of the increase in transposing endogenous viral vectors during mammalian phylogeny and their role in neurogenesis and radial glial cells. Most importantly, we aim to alert the users of this system to the phenotypes caused by non-codon optimized PBase application in vivo.
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Affiliation(s)
- Franziska Vierl
- Institute for Stem Cell Research, Helmholtz Zentrum München, Munich, Germany.,Physiological Genomics, Biomedical Center, Ludwig-Maximilians-Universität, Munich, Germany.,Graduate School of Systemic Neurosciences, Ludwig-Maximilians-Universität, Munich, Germany
| | - Manpreet Kaur
- Physiological Genomics, Biomedical Center, Ludwig-Maximilians-Universität, Munich, Germany
| | - Magdalena Götz
- Institute for Stem Cell Research, Helmholtz Zentrum München, Munich, Germany.,Physiological Genomics, Biomedical Center, Ludwig-Maximilians-Universität, Munich, Germany.,SyNergy, Munich Cluster for Systems Neurology, Ludwig-Maximilians-Universität, Munich, Germany
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13
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Visualization of Chromatin in the Yeast Nucleus and Nucleolus Using Hyperosmotic Shock. Int J Mol Sci 2021; 22:ijms22031132. [PMID: 33498839 PMCID: PMC7866036 DOI: 10.3390/ijms22031132] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 01/15/2021] [Accepted: 01/17/2021] [Indexed: 12/12/2022] Open
Abstract
Unlike in most eukaryotic cells, the genetic information of budding yeast in the exponential growth phase is only present in the form of decondensed chromatin, a configuration that does not allow its visualization in cell nuclei conventionally prepared for transmission electron microscopy. In this work, we studied the distribution of chromatin and its relationships to the nucleolus using different cytochemical and immunocytological approaches applied to yeast cells subjected to hyperosmotic shock. Our results show that osmotic shock induces the formation of heterochromatin patches in the nucleoplasm and intranucleolar regions of the yeast nucleus. In the nucleolus, we further revealed the presence of osmotic shock-resistant DNA in the fibrillar cords which, in places, take on a pinnate appearance reminiscent of ribosomal genes in active transcription as observed after molecular spreading ("Christmas trees"). We also identified chromatin-associated granules whose size, composition and behaviour after osmotic shock are reminiscent of that of mammalian perichromatin granules. Altogether, these data reveal that it is possible to visualize heterochromatin in yeast and suggest that the yeast nucleus displays a less-effective compartmentalized organization than that of mammals.
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14
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Liu J, Zhang SQ, Chen J, Li ZB, Chen JX, Lu QQ, Han YS, Dai W, Xie C, Li JC. Identifying Prognostic Significance of RCL1 and Four-Gene Signature as Novel Potential Biomarkers in HCC Patients. JOURNAL OF ONCOLOGY 2021; 2021:5574150. [PMID: 34257652 PMCID: PMC8260302 DOI: 10.1155/2021/5574150] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 06/05/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) is a highly malignant disease, and it is characterized by rapid progression and low five-year survival rate. At present, there are no effective methods for monitoring the treatment and prognosis of HCC. METHODS The transcriptome and gene expression profiles of HCC were obtained from the Cancer Genome Atlas (TCGA) program, International Cancer Genome Consortium (ICGC), and Gene Expression Omnibus (GEO) databases. The random forest method was applied to construct a four-gene prognostic model based on RNA terminal phosphate cyclase like 1 (RCL1) expression. The Kaplan-Meier method was performed to evaluate the prognostic value of RCL1, long noncoding RNAs (AC079061, AL354872, and LINC01093), and four-gene signature (SPP1, MYBL2, TRNP1, and FTCD). We examined the relationship between RCL1 expression and immune cells infiltration, tumor mutation burden (TMB), and microsatellite instability (MSI). RESULTS The results of multiple databases indicated that the aberrant expression of RCL1 was associated with clinical outcome, immune cells infiltration, TMB, and MSI in HCC patients. Meanwhile, we found that long noncoding RNAs (AC079061, AL354872, and LINC01093) and RCL1 were significantly coexpressed in HCC patients. We also confirmed that the four-gene signature was an independent prognostic factor for HCC patients. Ferroptosis potential index, immune checkpoint molecules, and clinical feature were found to have obvious correlations with risk score. The area under the receiver operating characteristic curve values for the model were 0.7-0.8 in the training set and the validation set, suggesting high robustness of the four-gene signature. We then built a nomogram for facilitating the use in clinical practice. CONCLUSION Our study demonstrated that RCL1 and a novel four-gene signature can be used as prognostic biomarkers for predicting clinical outcome in HCC patients; and this model may assist in individualized treatment monitoring of HCC patients in clinical practice.
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Affiliation(s)
- Jun Liu
- Medical Research Center, The Affiliated Yue Bei People's Hospital, Shantou University Medical College, Shaoguan 512025, China
| | - Shan-Qiang Zhang
- Medical Research Center, The Affiliated Yue Bei People's Hospital, Shantou University Medical College, Shaoguan 512025, China
| | - Jing Chen
- Institute of Cell Biology, Zhejiang University, Hangzhou 310058, China
| | - Zhi-Bin Li
- Institute of Cell Biology, Zhejiang University, Hangzhou 310058, China
| | - Jia-Xi Chen
- Institute of Cell Biology, Zhejiang University, Hangzhou 310058, China
| | - Qi-Qi Lu
- Medical Research Center, The Affiliated Yue Bei People's Hospital, Shantou University Medical College, Shaoguan 512025, China
| | - Yu-Shuai Han
- Institute of Cell Biology, Zhejiang University, Hangzhou 310058, China
| | - Wenjie Dai
- Medical Research Center, The Affiliated Yue Bei People's Hospital, Shantou University Medical College, Shaoguan 512025, China
| | - Chongwei Xie
- Medical Research Center, The Affiliated Yue Bei People's Hospital, Shantou University Medical College, Shaoguan 512025, China
| | - Ji-Cheng Li
- Medical Research Center, The Affiliated Yue Bei People's Hospital, Shantou University Medical College, Shaoguan 512025, China
- Institute of Cell Biology, Zhejiang University, Hangzhou 310058, China
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15
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Abstract
The mammalian cerebral cortex is the pinnacle of brain evolution, reaching its maximum complexity in terms of neuron number, diversity and functional circuitry. The emergence of this outstanding complexity begins during embryonic development, when a limited number of neural stem and progenitor cells manage to generate myriads of neurons in the appropriate numbers, types and proportions, in a process called neurogenesis. Here we review the current knowledge on the regulation of cortical neurogenesis, beginning with a description of the types of progenitor cells and their lineage relationships. This is followed by a review of the determinants of neuron fate, the molecular and genetic regulatory mechanisms, and considerations on the evolution of cortical neurogenesis in vertebrates leading to humans. We finish with an overview on how dysregulation of neurogenesis is a leading cause of human brain malformations and functional disabilities.
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Affiliation(s)
- Ana Villalba
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas & Universidad Miguel Hernández, Sant Joan d'Alacant, Spain
| | - Magdalena Götz
- Institute for Stem Cell Research, Helmholtz Zentrum München & Biomedical Center, Ludwig-Maximilians Universitaet, Planegg-Martinsried, Germany
| | - Víctor Borrell
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas & Universidad Miguel Hernández, Sant Joan d'Alacant, Spain.
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16
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Esgleas M, Falk S, Forné I, Thiry M, Najas S, Zhang S, Mas-Sanchez A, Geerlof A, Niessing D, Wang Z, Imhof A, Götz M. Trnp1 organizes diverse nuclear membrane-less compartments in neural stem cells. EMBO J 2020; 39:e103373. [PMID: 32627867 PMCID: PMC7429739 DOI: 10.15252/embj.2019103373] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 05/18/2020] [Accepted: 05/20/2020] [Indexed: 11/09/2022] Open
Abstract
TMF1‐regulated nuclear protein 1 (Trnp1) has been shown to exert potent roles in neural development affecting neural stem cell self‐renewal and brain folding, but its molecular function in the nucleus is still unknown. Here, we show that Trnp1 is a low complexity protein with the capacity to phase separate. Trnp1 interacts with factors located in several nuclear membrane‐less organelles, the nucleolus, nuclear speckles, and condensed chromatin. Importantly, Trnp1 co‐regulates the architecture and function of these nuclear compartments in vitro and in the developing brain in vivo. Deletion of a highly conserved region in the N‐terminal intrinsic disordered region abolishes the capacity of Trnp1 to regulate nucleoli and heterochromatin size, proliferation, and M‐phase length; decreases the capacity to phase separate; and abrogates most of Trnp1 protein interactions. Thus, we identified Trnp1 as a novel regulator of several nuclear membrane‐less compartments, a function important to maintain cells in a self‐renewing proliferative state.
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Affiliation(s)
- Miriam Esgleas
- Physiological Genomics, Biomedical Center (BMC), Ludwig-Maximilians Universitaet Muenchen, Planegg/Munich, Germany.,Institute for Stem Cell Research, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
| | - Sven Falk
- Physiological Genomics, Biomedical Center (BMC), Ludwig-Maximilians Universitaet Muenchen, Planegg/Munich, Germany.,Institute for Stem Cell Research, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
| | - Ignasi Forné
- Protein Analysis Unit, BioMedical Center (BMC), Ludwig-Maximilians-Universitaet Muenchen, Planegg/Munich, Germany
| | - Marc Thiry
- Cell and Tissue Biology Unit, GIGA-Neurosciences, University of Liege, C.H.U. Sart Tilman, Liege, Belgium
| | - Sonia Najas
- Physiological Genomics, Biomedical Center (BMC), Ludwig-Maximilians Universitaet Muenchen, Planegg/Munich, Germany.,Institute for Stem Cell Research, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
| | - Sirui Zhang
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Aina Mas-Sanchez
- Physiological Genomics, Biomedical Center (BMC), Ludwig-Maximilians Universitaet Muenchen, Planegg/Munich, Germany.,Institute for Stem Cell Research, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany
| | - Arie Geerlof
- Institute of Structural Biology, Helmholtz Zentrum Muenchen, Neuherberg, Germany
| | - Dierk Niessing
- Group Intracellular Transport and RNA Biology at the Institute of Structural Biology, Helmholtz Zentrum Muenchen, Neuherberg, Germany.,Department of Cell Biology, BioMedical Center (BMC), Ludwig-Maximilians-Universitaet Muenchen, Planegg/Munich, Germany
| | - Zefeng Wang
- CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Axel Imhof
- Protein Analysis Unit, BioMedical Center (BMC), Ludwig-Maximilians-Universitaet Muenchen, Planegg/Munich, Germany.,SYNERGY, Excellence Cluster of Systems Neurology, BioMedical Center (BMC), Ludwig-Maximilians-Universitaet Muenchen, Planegg/Munich, Germany
| | - Magdalena Götz
- Physiological Genomics, Biomedical Center (BMC), Ludwig-Maximilians Universitaet Muenchen, Planegg/Munich, Germany.,Institute for Stem Cell Research, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Neuherberg, Germany.,SYNERGY, Excellence Cluster of Systems Neurology, BioMedical Center (BMC), Ludwig-Maximilians-Universitaet Muenchen, Planegg/Munich, Germany
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