Random monoallelic expression of autosomal genes: stochastic transcription and allele-level regulation
Key Points Analyses of clonal cell populations have revealed fixed autosomal random monoallelic expression (aRME), in which allele-specific expression is conserved in daughter cells after division. More recently, single-cell analyses have revealed dynamic aRME, in which stochastic transcription rend...
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description | Key Points
Analyses of clonal cell populations have revealed fixed autosomal random monoallelic expression (aRME), in which allele-specific expression is conserved in daughter cells after division.
More recently, single-cell analyses have revealed dynamic aRME, in which stochastic transcription renders shorter-term periods of expression frequently from only one allele.
Distinguishing features of the two forms of aRME (clonally fixed and dynamic) are discussed, and literature on their nature, pervasiveness and regulation is revisited.
Open outstanding questions in this emerging field of research are highlighted.
Clonally fixed and dynamic aRME can be studied simultaneously via single-cell analyses of allelic transcription in clonal cells, and such analyses of
in vivo
cell types will propel our understanding of transcriptional regulation.
aRME increases the heterogeneity among cells and probably contributes to the variance of phenotypes — including disease manifestations — among individuals of identical genotype.
In diploid organisms, expression from only one allele is frequently observed. This Review focuses on the widespread random monoallelic expression (RME) of autosomal genes, highlighting both the mitotically stable form observed in bulk analyses of cell populations and the recently discovered dynamic form identified through single-cell studies. The article also addresses the implications of different experimental criteria for calling monoallelic expression and potential biological roles in disease manifestations.
Random monoallelic expression (RME) of genes represents a striking example of how stochastic molecular processes can result in cellular heterogeneity. Recent transcriptome-wide studies have revealed both mitotically stable and cell-to-cell dynamic forms of autosomal RME, with the latter presumably resulting from burst-like stochastic transcription. Here, we discuss the distinguishing features of these two forms of RME and revisit literature on their nature, pervasiveness and regulation. Finally, we explore how RME may contribute to phenotypic variation, including the incomplete penetrance and variable expressivity often seen in genetic disease. |
doi_str_mv | 10.1038/nrg3888 |
format | Article |
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Analyses of clonal cell populations have revealed fixed autosomal random monoallelic expression (aRME), in which allele-specific expression is conserved in daughter cells after division.
More recently, single-cell analyses have revealed dynamic aRME, in which stochastic transcription renders shorter-term periods of expression frequently from only one allele.
Distinguishing features of the two forms of aRME (clonally fixed and dynamic) are discussed, and literature on their nature, pervasiveness and regulation is revisited.
Open outstanding questions in this emerging field of research are highlighted.
Clonally fixed and dynamic aRME can be studied simultaneously via single-cell analyses of allelic transcription in clonal cells, and such analyses of
in vivo
cell types will propel our understanding of transcriptional regulation.
aRME increases the heterogeneity among cells and probably contributes to the variance of phenotypes — including disease manifestations — among individuals of identical genotype.
In diploid organisms, expression from only one allele is frequently observed. This Review focuses on the widespread random monoallelic expression (RME) of autosomal genes, highlighting both the mitotically stable form observed in bulk analyses of cell populations and the recently discovered dynamic form identified through single-cell studies. The article also addresses the implications of different experimental criteria for calling monoallelic expression and potential biological roles in disease manifestations.
Random monoallelic expression (RME) of genes represents a striking example of how stochastic molecular processes can result in cellular heterogeneity. Recent transcriptome-wide studies have revealed both mitotically stable and cell-to-cell dynamic forms of autosomal RME, with the latter presumably resulting from burst-like stochastic transcription. Here, we discuss the distinguishing features of these two forms of RME and revisit literature on their nature, pervasiveness and regulation. Finally, we explore how RME may contribute to phenotypic variation, including the incomplete penetrance and variable expressivity often seen in genetic disease.</description><identifier>ISSN: 1471-0056</identifier><identifier>EISSN: 1471-0064</identifier><identifier>DOI: 10.1038/nrg3888</identifier><identifier>PMID: 26442639</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/1647/2217/2018 ; 631/1647/2217/2218 ; 631/208/176 ; 631/208/199 ; 631/208/200 ; 631/208/2489/144 ; 631/208/514/1949 ; 631/337/572 ; Agriculture ; Alleles ; Allelomorphism ; Animal Genetics and Genomics ; Biomedicine ; Cancer Research ; Development and progression ; Gene expression ; Gene Expression Profiling - methods ; Gene Function ; Genetic Association Studies - methods ; Genetic disorders ; Genetic Predisposition to Disease - genetics ; Genotype ; Human Genetics ; Humans ; Identification and classification ; Models, Genetic ; Observations ; Phenotype ; Properties ; review-article ; Stochastic Processes ; Transcriptome - genetics</subject><ispartof>Nature reviews. Genetics, 2015-11, Vol.16 (11), p.653-664</ispartof><rights>Springer Nature Limited 2015</rights><rights>COPYRIGHT 2015 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Nov 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4888-d9df3b3a095704c2d8db8538bb7b70ce4d7f218017d8d0dc6953b8e67650de333</citedby><cites>FETCH-LOGICAL-c4888-d9df3b3a095704c2d8db8538bb7b70ce4d7f218017d8d0dc6953b8e67650de333</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/nrg3888$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/nrg3888$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26442639$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Reinius, Björn</creatorcontrib><creatorcontrib>Sandberg, Rickard</creatorcontrib><title>Random monoallelic expression of autosomal genes: stochastic transcription and allele-level regulation</title><title>Nature reviews. Genetics</title><addtitle>Nat Rev Genet</addtitle><addtitle>Nat Rev Genet</addtitle><description>Key Points
Analyses of clonal cell populations have revealed fixed autosomal random monoallelic expression (aRME), in which allele-specific expression is conserved in daughter cells after division.
More recently, single-cell analyses have revealed dynamic aRME, in which stochastic transcription renders shorter-term periods of expression frequently from only one allele.
Distinguishing features of the two forms of aRME (clonally fixed and dynamic) are discussed, and literature on their nature, pervasiveness and regulation is revisited.
Open outstanding questions in this emerging field of research are highlighted.
Clonally fixed and dynamic aRME can be studied simultaneously via single-cell analyses of allelic transcription in clonal cells, and such analyses of
in vivo
cell types will propel our understanding of transcriptional regulation.
aRME increases the heterogeneity among cells and probably contributes to the variance of phenotypes — including disease manifestations — among individuals of identical genotype.
In diploid organisms, expression from only one allele is frequently observed. This Review focuses on the widespread random monoallelic expression (RME) of autosomal genes, highlighting both the mitotically stable form observed in bulk analyses of cell populations and the recently discovered dynamic form identified through single-cell studies. The article also addresses the implications of different experimental criteria for calling monoallelic expression and potential biological roles in disease manifestations.
Random monoallelic expression (RME) of genes represents a striking example of how stochastic molecular processes can result in cellular heterogeneity. Recent transcriptome-wide studies have revealed both mitotically stable and cell-to-cell dynamic forms of autosomal RME, with the latter presumably resulting from burst-like stochastic transcription. Here, we discuss the distinguishing features of these two forms of RME and revisit literature on their nature, pervasiveness and regulation. Finally, we explore how RME may contribute to phenotypic variation, including the incomplete penetrance and variable expressivity often seen in genetic disease.</description><subject>631/1647/2217/2018</subject><subject>631/1647/2217/2218</subject><subject>631/208/176</subject><subject>631/208/199</subject><subject>631/208/200</subject><subject>631/208/2489/144</subject><subject>631/208/514/1949</subject><subject>631/337/572</subject><subject>Agriculture</subject><subject>Alleles</subject><subject>Allelomorphism</subject><subject>Animal Genetics and Genomics</subject><subject>Biomedicine</subject><subject>Cancer Research</subject><subject>Development and progression</subject><subject>Gene expression</subject><subject>Gene Expression Profiling - methods</subject><subject>Gene Function</subject><subject>Genetic Association Studies - methods</subject><subject>Genetic disorders</subject><subject>Genetic Predisposition to Disease - genetics</subject><subject>Genotype</subject><subject>Human Genetics</subject><subject>Humans</subject><subject>Identification and classification</subject><subject>Models, Genetic</subject><subject>Observations</subject><subject>Phenotype</subject><subject>Properties</subject><subject>review-article</subject><subject>Stochastic Processes</subject><subject>Transcriptome - genetics</subject><issn>1471-0056</issn><issn>1471-0064</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqN0l1r1jAUB_AgintR_AZSEJy76EybNEl3N4a6wUCYel3S5LRPR5o85rQyv73p9uzlGV6MXrT0_PKn5_QQ8q6gRwVl6rOPPVNKvSC7BZdFTqngL--fK7FD9hCvKC1EIdlrslMKzkvB6l3SXWpvw5iNwQftHLjBZHC9joA4BJ-FLtPzFDCM2mU9eMDjDKdgVhqnJKeoPZo4rKcFp6TsJgNyB3_AZRH62eml9oa86rRDeLu575NfX7_8PD3LL75_Oz89ucgNT5-f29p2rGWa1pWk3JRW2VZVTLWtbCU1wK3sykLRQqYKtUbUFWsVCCkqaoExtk8-3eauY_g9A07NOKAB57SHMGOT2i8VlYo-h5ZlXda1pIl-eEKvwhx9auRGcV4JKh5Urx00g-9CGo9ZQpsTzkpep-Ev6ug_Kl0WxsEED92Q3m8dONw6kMwE11OvZ8Tm_Mfltv34yK5Au2mFwc3LL8BteHALTQyIEbpmHYdRx79NQZtlo5rNRiX5ftP73I5g793dCj3MEVPJ9xAfDedJ1j9_sNDE</recordid><startdate>20151101</startdate><enddate>20151101</enddate><creator>Reinius, Björn</creator><creator>Sandberg, Rickard</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>3V.</scope><scope>7QP</scope><scope>7QR</scope><scope>7RV</scope><scope>7TK</scope><scope>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>20151101</creationdate><title>Random monoallelic expression of autosomal genes: stochastic transcription and allele-level regulation</title><author>Reinius, Björn ; 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Genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Reinius, Björn</au><au>Sandberg, Rickard</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Random monoallelic expression of autosomal genes: stochastic transcription and allele-level regulation</atitle><jtitle>Nature reviews. Genetics</jtitle><stitle>Nat Rev Genet</stitle><addtitle>Nat Rev Genet</addtitle><date>2015-11-01</date><risdate>2015</risdate><volume>16</volume><issue>11</issue><spage>653</spage><epage>664</epage><pages>653-664</pages><issn>1471-0056</issn><eissn>1471-0064</eissn><abstract>Key Points
Analyses of clonal cell populations have revealed fixed autosomal random monoallelic expression (aRME), in which allele-specific expression is conserved in daughter cells after division.
More recently, single-cell analyses have revealed dynamic aRME, in which stochastic transcription renders shorter-term periods of expression frequently from only one allele.
Distinguishing features of the two forms of aRME (clonally fixed and dynamic) are discussed, and literature on their nature, pervasiveness and regulation is revisited.
Open outstanding questions in this emerging field of research are highlighted.
Clonally fixed and dynamic aRME can be studied simultaneously via single-cell analyses of allelic transcription in clonal cells, and such analyses of
in vivo
cell types will propel our understanding of transcriptional regulation.
aRME increases the heterogeneity among cells and probably contributes to the variance of phenotypes — including disease manifestations — among individuals of identical genotype.
In diploid organisms, expression from only one allele is frequently observed. This Review focuses on the widespread random monoallelic expression (RME) of autosomal genes, highlighting both the mitotically stable form observed in bulk analyses of cell populations and the recently discovered dynamic form identified through single-cell studies. The article also addresses the implications of different experimental criteria for calling monoallelic expression and potential biological roles in disease manifestations.
Random monoallelic expression (RME) of genes represents a striking example of how stochastic molecular processes can result in cellular heterogeneity. Recent transcriptome-wide studies have revealed both mitotically stable and cell-to-cell dynamic forms of autosomal RME, with the latter presumably resulting from burst-like stochastic transcription. Here, we discuss the distinguishing features of these two forms of RME and revisit literature on their nature, pervasiveness and regulation. Finally, we explore how RME may contribute to phenotypic variation, including the incomplete penetrance and variable expressivity often seen in genetic disease.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>26442639</pmid><doi>10.1038/nrg3888</doi><tpages>12</tpages></addata></record> |
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subjects | 631/1647/2217/2018 631/1647/2217/2218 631/208/176 631/208/199 631/208/200 631/208/2489/144 631/208/514/1949 631/337/572 Agriculture Alleles Allelomorphism Animal Genetics and Genomics Biomedicine Cancer Research Development and progression Gene expression Gene Expression Profiling - methods Gene Function Genetic Association Studies - methods Genetic disorders Genetic Predisposition to Disease - genetics Genotype Human Genetics Humans Identification and classification Models, Genetic Observations Phenotype Properties review-article Stochastic Processes Transcriptome - genetics |
title | Random monoallelic expression of autosomal genes: stochastic transcription and allele-level regulation |
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