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Ayyamperumal P, Naik HC, Naskar AJ, Bammidi LS, Gayen S. Epigenomic states contribute to coordinated allelic transcriptional bursting in iPSC reprogramming. Life Sci Alliance 2024; 7:e202302337. [PMID: 38320809 PMCID: PMC10847334 DOI: 10.26508/lsa.202302337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 01/30/2024] [Accepted: 01/30/2024] [Indexed: 02/12/2024] Open
Abstract
Two alleles of a gene can be transcribed independently or coordinatedly, which can lead to temporal expression heterogeneity with potentially distinct impacts on cell fate. Here, we profiled genome-wide allelic transcriptional burst kinetics during the reprogramming of MEF to induced pluripotent stem cells. We show that the degree of coordination of allelic bursting differs among genes, and alleles of many reprogramming-related genes burst in a highly coordinated fashion. Notably, we show that the chromatin accessibility of the two alleles of highly coordinated genes is similar, unlike the semi-coordinated or independent genes, suggesting the degree of coordination of allelic bursting is linked to allelic chromatin accessibility. Consistently, we show that many transcription factors have differential binding affinity between alleles of semi-coordinated or independent genes. We show that highly coordinated genes are enriched with chromatin accessibility regulators such as H3K4me3, H3K4me1, H3K36me3, H3K27ac, histone variant H3.3, and BRD4. Finally, we demonstrate that enhancer elements are highly enriched in highly coordinated genes. Our study demonstrates that epigenomic states contribute to coordinated allelic bursting to fine-tune gene expression during induced pluripotent stem cell reprogramming.
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Affiliation(s)
- Parichitran Ayyamperumal
- https://ror.org/04dese585 Chromatin, RNA and Genome (CRG) Laboratory, Department of Developmental Biology and Genetics, Indian Institute of Science, Bangalore, India
| | - Hemant Chandru Naik
- https://ror.org/04dese585 Chromatin, RNA and Genome (CRG) Laboratory, Department of Developmental Biology and Genetics, Indian Institute of Science, Bangalore, India
| | - Amlan Jyoti Naskar
- https://ror.org/04dese585 Chromatin, RNA and Genome (CRG) Laboratory, Department of Developmental Biology and Genetics, Indian Institute of Science, Bangalore, India
| | - Lakshmi Sowjanya Bammidi
- https://ror.org/04dese585 Chromatin, RNA and Genome (CRG) Laboratory, Department of Developmental Biology and Genetics, Indian Institute of Science, Bangalore, India
| | - Srimonta Gayen
- https://ror.org/04dese585 Chromatin, RNA and Genome (CRG) Laboratory, Department of Developmental Biology and Genetics, Indian Institute of Science, Bangalore, India
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Fu R, Qin P, Zou X, Hu Z, Hong N, Wang Y, Jin W. A Comprehensive Characterization of Monoallelic Expression During Hematopoiesis and Leukemogenesis via Single-Cell RNA-Sequencing. Front Cell Dev Biol 2021; 9:702897. [PMID: 34722498 PMCID: PMC8548578 DOI: 10.3389/fcell.2021.702897] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 09/13/2021] [Indexed: 12/30/2022] Open
Abstract
Single-cell RNA-sequencing (scRNA-seq) is becoming a powerful tool to investigate monoallelic expression (MAE) in various developmental and pathological processes. However, our knowledge of MAE during hematopoiesis and leukemogenesis is limited. In this study, we conducted a systematic interrogation of MAEs in bone marrow mononuclear cells (BMMCs) at single-cell resolution to construct a MAE atlas of BMMCs. We identified 1,020 constitutive MAEs in BMMCs, which included imprinted genes such as MEG8, NAP1L5, and IRAIN. We classified the BMMCs into six cell types and identified 74 cell type specific MAEs including MTSS1, MOB1A, and TCF12. We further identified 114 random MAEs (rMAEs) at single-cell level, with 78.1% single-allele rMAE and 21.9% biallelic mosaic rMAE. Many MAEs identified in BMMCs have not been reported and are potentially hematopoietic specific, supporting MAEs are functional relevance. Comparison of BMMC samples from a leukemia patient with multiple clinical stages showed the fractions of constitutive MAE were correlated with fractions of leukemia cells in BMMCs. Further separation of the BMMCs into leukemia cells and normal cells showed that leukemia cells have much higher constitutive MAE and rMAEs than normal cells. We identified the leukemia cell-specific MAEs and relapsed leukemia cell-specific MAEs, which were enriched in immune-related functions. These results indicate MAE is prevalent and is an important gene regulation mechanism during hematopoiesis and leukemogenesis. As the first systematical interrogation of constitutive MAEs, cell type specific MAEs, and rMAEs during hematopoiesis and leukemogenesis, the study significantly increased our knowledge about the features and functions of MAEs.
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Affiliation(s)
- Ruiqing Fu
- Shenzhen Key Laboratory of Microbiology and Gene Engineering, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, China.,Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Optoelectronic Engineering, Shenzhen University, Shenzhen, China.,School of Food Engineering and Biotechnology, Hanshan Normal University, Chaozhou, China
| | - Pengfei Qin
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
| | - Xianghui Zou
- School of Food Engineering and Biotechnology, Hanshan Normal University, Chaozhou, China
| | - Zhangli Hu
- Shenzhen Key Laboratory of Microbiology and Gene Engineering, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, China.,Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Optoelectronic Engineering, Shenzhen University, Shenzhen, China
| | - Ni Hong
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
| | - Yun Wang
- Shenzhen Key Laboratory of Microbiology and Gene Engineering, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, China
| | - Wenfei Jin
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China
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Semicoordinated allelic-bursting shape dynamic random monoallelic expression in pregastrulation embryos. iScience 2021; 24:102954. [PMID: 34458702 PMCID: PMC8379509 DOI: 10.1016/j.isci.2021.102954] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 07/27/2021] [Accepted: 07/30/2021] [Indexed: 01/14/2023] Open
Abstract
Recently, allele-specific single-cell RNA-seq analysis has demonstrated widespread dynamic random monoallelic expression of autosomal genes (aRME) in different cell types. However, the prevalence of dynamic aRME during pregastrulation remains unknown. Here, we show that dynamic aRME is widespread in different lineages of pregastrulation embryos. Additionally, the origin of dynamic aRME remains elusive. It is believed that independent transcriptional bursting from each allele leads to dynamic aRME. Here, we show that allelic burst is not perfectly independent; instead it happens in a semicoordinated fashion. Importantly, we show that semicoordinated allelic bursting of genes, particularly with low burst frequency, leads to frequent asynchronous allelic bursting, thereby contributing to dynamic aRME. Furthermore, we found that coordination of allelic bursting is lineage specific and genes regulating the development have a higher degree of coordination. Altogether, our study provides significant insights into the prevalence and origin of dynamic aRME and their developmental relevance during early development. Dynamic aRME is widespread in different lineages of pregastrulation embryos Semicoordinated bursting of genes with low burst frequency leads to dynamic aRME Degree of coordination of allelic bursting is lineage specific Developmental genes have higher degree of coordination of allelic bursting
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Cosentino RO, Brink BG, Siegel TN. Allele-specific assembly of a eukaryotic genome corrects apparent frameshifts and reveals a lack of nonsense-mediated mRNA decay. NAR Genom Bioinform 2021; 3:lqab082. [PMID: 34541528 PMCID: PMC8445201 DOI: 10.1093/nargab/lqab082] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 08/25/2021] [Accepted: 09/06/2021] [Indexed: 11/14/2022] Open
Abstract
To date, most reference genomes represent a mosaic consensus sequence in which the homologous chromosomes are collapsed into one sequence. This approach produces sequence artefacts and impedes analyses of allele-specific mechanisms. Here, we report an allele-specific genome assembly of the diploid parasite Trypanosoma brucei and reveal allelic variants affecting gene expression. Using long-read sequencing and chromosome conformation capture data, we could assign 99.5% of all heterozygote variants to a specific homologous chromosome and build a 66 Mb long allele-specific genome assembly. The phasing of haplotypes allowed us to resolve hundreds of artefacts present in the previous mosaic consensus assembly. In addition, it revealed allelic recombination events, visible as regions of low allelic heterozygosity, enabling the lineage tracing of T. brucei isolates. Interestingly, analyses of transcriptome and translatome data of genes with allele-specific premature termination codons point to the absence of a nonsense-mediated decay mechanism in trypanosomes. Taken together, this study delivers a reference quality allele-specific genome assembly of T. brucei and demonstrates the importance of such assemblies for the study of gene expression control. We expect the new genome assembly will increase the awareness of allele-specific phenomena and provide a platform to investigate them.
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Affiliation(s)
- Raúl O Cosentino
- Division of Experimental Parasitology, Faculty of Veterinary Medicine, Ludwig-Maximilians-Universität in Munich, Lena-Christ-Str. 48, Planegg-Martinsried 82152, Germany
| | - Benedikt G Brink
- Division of Experimental Parasitology, Faculty of Veterinary Medicine, Ludwig-Maximilians-Universität in Munich, Lena-Christ-Str. 48, Planegg-Martinsried 82152, Germany
| | - T Nicolai Siegel
- Division of Experimental Parasitology, Faculty of Veterinary Medicine, Ludwig-Maximilians-Universität in Munich, Lena-Christ-Str. 48, Planegg-Martinsried 82152, Germany
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Brousseau M, Nectoux J, Saintpierre B, Lebrun N, Cagnard N, Izac B, Olivier E, Letourneur F, Bienvenu T. MeCP2 is involved in random mono-allelic expression for a subset of human autosomal genes. Biochim Biophys Acta Mol Basis Dis 2020; 1866:165730. [PMID: 32070770 DOI: 10.1016/j.bbadis.2020.165730] [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] [Received: 07/16/2019] [Revised: 02/10/2020] [Accepted: 02/13/2020] [Indexed: 12/13/2022]
Abstract
Widespread random monoallelic gene expression (RMAE) effects influence about 10% of human genes. However, the mechanisms by which RME of autosomal genes is established and those by which it is maintained both remain open questions. Because the choice of allelic expression is randomly performed cell-by-cell, the RMAE mechanism is not observable in non-clonal cell populations or in whole tissues. Several target genes of MeCP2, the gene involved in Rett syndrome (RTT), have been previously described as subject to RMAE, suggesting that MeCP2 may be involved in the establishment and/or maintenance of RME of autosomal genes. To improve our knowledge on this largely unknown phenomenon, and to study the role of MeCP2 in RMAE, we compared RMA gene expression profiles in clonal cell cultures expressing wild-type MeCP2 versus mutant MeCP2 from a RTT patient carrying a pathogenic non-sense variant. Our data clearly demonstrated that MeCP2 deficiency does not affect significantly allelic gene expression of X-linked genes, imprinted genes as well as the RMAE profile in the majority of genes. However, the functional deficiency in MeCP2 appeared to disrupt the mono-allelic or the bi-allelic expression of at least 49 genes allowing us to define a specific signature of MECP2 mutated clones.
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Affiliation(s)
- Marine Brousseau
- Assistance Publique - Hôpitaux de Paris, APHP, Centre Universitaire Paris, Hôpital Cochin, Laboratoire de Génétique et Biologie Moléculaires, Paris, France
| | - Juliette Nectoux
- Assistance Publique - Hôpitaux de Paris, APHP, Centre Universitaire Paris, Hôpital Cochin, Laboratoire de Génétique et Biologie Moléculaires, Paris, France
| | | | - Nicolas Lebrun
- Institut de Psychiatrie et de Neurosciences de Paris (IPNP), INSERM U1266, Team "Vulnérabilité aux troubles psychiatriques et addictifs", Université de Paris, Paris, France
| | - Nicolas Cagnard
- Plateforme Bioinformatique, Université Paris Descartes, Institut Imagine, Paris, France
| | - Brigitte Izac
- Plateforme Génomique, Institut Cochin, Paris, France
| | - Emmanuelle Olivier
- Plateforme Bioinformatique, Université Paris Descartes, Institut Imagine, Paris, France
| | | | - Thierry Bienvenu
- Assistance Publique - Hôpitaux de Paris, APHP, Centre Universitaire Paris, Hôpital Cochin, Laboratoire de Génétique et Biologie Moléculaires, Paris, France; Institut de Psychiatrie et de Neurosciences de Paris (IPNP), INSERM U1266, Team "Vulnérabilité aux troubles psychiatriques et addictifs", Université de Paris, Paris, France.
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Kravitz SN, Gregg C. New subtypes of allele-specific epigenetic effects: implications for brain development, function and disease. Curr Opin Neurobiol 2019; 59:69-78. [PMID: 31153086 PMCID: PMC7476552 DOI: 10.1016/j.conb.2019.04.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Accepted: 04/24/2019] [Indexed: 01/15/2023]
Abstract
Typically, it is assumed that the maternal and paternal alleles for most genes are equally expressed. Known exceptions include canonical imprinted genes, random X-chromosome inactivation, olfactory receptors and clustered protocadherins. Here, we highlight recent studies showing that allele-specific expression is frequent in the genome and involves subtypes of epigenetic allelic effects that differ in terms of heritability, clonality and stability over time. Different forms of epigenetic allele regulation could have different roles in brain development, function, and disease. An emerging area involves understanding allelic effects in a cell-type and developmental stage-specific manner and determining how these effects influence the impact of genetic variants and mutations on the brain. A deeper understanding of epigenetics at the allele and cellular level in the brain could help clarify the mechanisms underlying phenotypic variance.
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Affiliation(s)
- Stephanie N Kravitz
- Department of Neurobiology & Anatomy, University of Utah, Salt Lake City, UT 84132-3401, USA; Department of Human Genetics, University of Utah, Salt Lake City, UT 84132-3401, USA
| | - Christopher Gregg
- Department of Neurobiology & Anatomy, University of Utah, Salt Lake City, UT 84132-3401, USA; Department of Human Genetics, University of Utah, Salt Lake City, UT 84132-3401, USA.
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Wang C, Liu W, Shen Y, Chen J, Zhu H, Yang X, Jiang X, Wang Y, Zhou J. Cardiomyocyte dedifferentiation and remodeling in 3D scaffolds to generate the cellular diversity of engineering cardiac tissues. Biomater Sci 2019; 7:4636-4650. [PMID: 31455969 DOI: 10.1039/c9bm01003c] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The use of engineered cardiac tissues (ECTs) is a new strategy for the repair and replacement of cardiac tissues in patients with myocardial infarction, particularly at late stages. However, the mechanisms underlying the development of ECTs, including cell-scaffold interactions, are not fully understood, although they are closely related to their therapeutic effect. In the present study, we aimed to determine the cellular fate of cardiomyocytes in a 3D scaffold microenvironment, as well as their role in generating the cellular diversity of ECTs by single-cell sequencing analysis. Consistent with the observed plasticity of cardiomyocytes during cardiac regeneration, cardiomyocytes in 3D scaffolds appeared to dedifferentiate, showing an initial loss of normal cytoskeleton organization in the adaptive response to the new scaffold microenvironment. Cardiomyocytes undergoing this process regained their proliferation potential and gradually developed into myocardial cells at different developmental stages, generating heterogeneous regenerative ECTs. To better characterize the remodeled ECTs, high-throughput single-cell sequencing was performed. The ECTs contained a wide diversity of cells related to endogenous classes in the heart, including myocardial cells at different developmental stages and different kinds of interstitial cells. Non-cardiac cells seemed to play important roles in cardiac reconstruction, especially Cajal-like interstitial cells and macrophages. Altogether, our results showed for the first time that cells underwent adaptive dedifferentiation for survival in a 3D scaffold microenvironment to generate heterogeneous tissues. These findings provide an important basis for an improved understanding of the development and assembly of engineered tissues.
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Affiliation(s)
- Changyong Wang
- Tissue Engineering Research Center, Academy of Military Medical Sciences and Department of Neural Engineering and Biological Interdisciplinary Studies, Institute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, 27 Taiping Rd, Beijing 100850, PR China
| | - Wei Liu
- Tissue Engineering Research Center, Academy of Military Medical Sciences and Department of Neural Engineering and Biological Interdisciplinary Studies, Institute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, 27 Taiping Rd, Beijing 100850, PR China
| | - Yuan Shen
- Tissue Engineering Research Center, Academy of Military Medical Sciences and Department of Neural Engineering and Biological Interdisciplinary Studies, Institute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, 27 Taiping Rd, Beijing 100850, PR China
| | - Jiayun Chen
- College of Life Science and Technology, Huazhong Agricultural university, No.1, shizishan street, Wuhan 430070, PR China
| | - Huimin Zhu
- Tissue Engineering Research Center, Academy of Military Medical Sciences and Department of Neural Engineering and Biological Interdisciplinary Studies, Institute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, 27 Taiping Rd, Beijing 100850, PR China
| | - Xiaoning Yang
- Tissue Engineering Research Center, Academy of Military Medical Sciences and Department of Neural Engineering and Biological Interdisciplinary Studies, Institute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, 27 Taiping Rd, Beijing 100850, PR China
| | - Xiaoxia Jiang
- Tissue Engineering Research Center, Academy of Military Medical Sciences and Department of Neural Engineering and Biological Interdisciplinary Studies, Institute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, 27 Taiping Rd, Beijing 100850, PR China
| | - Yan Wang
- Tissue Engineering Research Center, Academy of Military Medical Sciences and Department of Neural Engineering and Biological Interdisciplinary Studies, Institute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, 27 Taiping Rd, Beijing 100850, PR China
| | - Jin Zhou
- Tissue Engineering Research Center, Academy of Military Medical Sciences and Department of Neural Engineering and Biological Interdisciplinary Studies, Institute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, 27 Taiping Rd, Beijing 100850, PR China
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