Partitioning stable and unstable expression level variation in cell populations

Detalhes bibliográficos
Autor(a) principal: Guzella, Thiago S.
Data de Publicação: 2020
Outros Autores: Barreto, Vasco M., Carneiro, Jorge
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/105762
Resumo: Funding: This work was supported by a grant from the Fundacão para a Ciência e Tecnologia (FCT) (PTDC/BIA-BCM/108020/2008). TSG was supported by a fellowship from FCT (SFRH/BD/ 33572/2008). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
id RCAP_e89e4b3ef015d37ff2dad3361ba8ed79
oai_identifier_str oai:run.unl.pt:10362/105762
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Partitioning stable and unstable expression level variation in cell populationsA theoretical framework and its application to the T cell receptorEcology, Evolution, Behavior and SystematicsModelling and SimulationEcologyMolecular BiologyGeneticsCellular and Molecular NeuroscienceComputational Theory and MathematicsFunding: This work was supported by a grant from the Fundacão para a Ciência e Tecnologia (FCT) (PTDC/BIA-BCM/108020/2008). TSG was supported by a fellowship from FCT (SFRH/BD/ 33572/2008). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Phenotypic variation in the copy number of gene products expressed by cells or tissues has been the focus of intense investigation. To what extent the observed differences in cellular expression levels are persistent or transient is an intriguing question. Here, we develop a quantitative framework that resolves the expression variation into stable and unstable components. The difference between the expression means in two cohorts isolated from any cell population is shown to converge to an asymptotic value, with a characteristic time, τT, that measures the timescale of the unstable dynamics. The asymptotic difference in the means, relative to the initial value, measures the stable proportion of the original population variance R2a. Empowered by this insight, we analysed the T-cell receptor (TCR) expression variation in CD4 T cells. About 70% of TCR expression variance is stable in a diverse polyclonal population, while over 80% of the variance in an isogenic TCR transgenic population is volatile. In both populations the TCR levels fluctuate with a characteristic time of 32 hours. This systematic characterisation of the expression variation dynamics, relying on time series of cohorts’ means, can be combined with technologies that measure gene or protein expression in single cells or in bulk.NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)Centro de Estudos de Doenças Crónicas (CEDOC)RUNGuzella, Thiago S.Barreto, Vasco M.Carneiro, Jorge2020-10-17T00:19:31Z2020-082020-08-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/105762eng1553-734XPURE: 19991635https://doi.org/10.1371/journal.pcbi.1007910info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-05-22T17:48:11Zoai:run.unl.pt:10362/105762Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-22T17:48:11Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Partitioning stable and unstable expression level variation in cell populations
A theoretical framework and its application to the T cell receptor
title Partitioning stable and unstable expression level variation in cell populations
spellingShingle Partitioning stable and unstable expression level variation in cell populations
Guzella, Thiago S.
Ecology, Evolution, Behavior and Systematics
Modelling and Simulation
Ecology
Molecular Biology
Genetics
Cellular and Molecular Neuroscience
Computational Theory and Mathematics
title_short Partitioning stable and unstable expression level variation in cell populations
title_full Partitioning stable and unstable expression level variation in cell populations
title_fullStr Partitioning stable and unstable expression level variation in cell populations
title_full_unstemmed Partitioning stable and unstable expression level variation in cell populations
title_sort Partitioning stable and unstable expression level variation in cell populations
author Guzella, Thiago S.
author_facet Guzella, Thiago S.
Barreto, Vasco M.
Carneiro, Jorge
author_role author
author2 Barreto, Vasco M.
Carneiro, Jorge
author2_role author
author
dc.contributor.none.fl_str_mv NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
Centro de Estudos de Doenças Crónicas (CEDOC)
RUN
dc.contributor.author.fl_str_mv Guzella, Thiago S.
Barreto, Vasco M.
Carneiro, Jorge
dc.subject.por.fl_str_mv Ecology, Evolution, Behavior and Systematics
Modelling and Simulation
Ecology
Molecular Biology
Genetics
Cellular and Molecular Neuroscience
Computational Theory and Mathematics
topic Ecology, Evolution, Behavior and Systematics
Modelling and Simulation
Ecology
Molecular Biology
Genetics
Cellular and Molecular Neuroscience
Computational Theory and Mathematics
description Funding: This work was supported by a grant from the Fundacão para a Ciência e Tecnologia (FCT) (PTDC/BIA-BCM/108020/2008). TSG was supported by a fellowship from FCT (SFRH/BD/ 33572/2008). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
publishDate 2020
dc.date.none.fl_str_mv 2020-10-17T00:19:31Z
2020-08
2020-08-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/105762
url http://hdl.handle.net/10362/105762
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1553-734X
PURE: 19991635
https://doi.org/10.1371/journal.pcbi.1007910
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
_version_ 1817545763340681216

Registros relacionados