Transcription factor expression is the main determinant of variability in gene co-activity

Publikation: Working paperPreprintForskning

Standard

Transcription factor expression is the main determinant of variability in gene co-activity. / Duin, Lucas van; Krautz, Robert; Rennie, Sarah; Andersson, Robin.

2022.

Publikation: Working paperPreprintForskning

Harvard

Duin, LV, Krautz, R, Rennie, S & Andersson, R 2022 'Transcription factor expression is the main determinant of variability in gene co-activity'. https://doi.org/10.1101/2022.10.11.511770

APA

Duin, L. V., Krautz, R., Rennie, S., & Andersson, R. (2022). Transcription factor expression is the main determinant of variability in gene co-activity. https://doi.org/10.1101/2022.10.11.511770

Vancouver

Duin LV, Krautz R, Rennie S, Andersson R. Transcription factor expression is the main determinant of variability in gene co-activity. 2022. https://doi.org/10.1101/2022.10.11.511770

Author

Duin, Lucas van ; Krautz, Robert ; Rennie, Sarah ; Andersson, Robin. / Transcription factor expression is the main determinant of variability in gene co-activity. 2022.

Bibtex

@techreport{c171918e63344a2c939036e0dc904c81,
title = "Transcription factor expression is the main determinant of variability in gene co-activity",
abstract = "Many genes are co-expressed and form genomic domains of coordinated gene activity. However, the regulatory determinants of domain co-activity remain unclear. Here, we leverage human individual variation in gene expression to characterize the co-regulatory processes underlying domain co-activity and systematically quantify their effect sizes. We employ transcriptional decomposition to extract from RNA expression data an expression component related to co-activity revealed by genomic positioning. This strategy reveals close to 1,500 co-activity domains, covering most expressed genes, of which the large majority are invariable across individuals. Focusing specifically on domains with high variability in co-activity reveals that contained genes have a higher sharing of eQTLs, a higher variability in enhancer interactions, and an enrichment of binding by variably expressed transcription factors compared to genes within non-variable domains. Through careful quantification of the relative contributions of regulatory processes underlying co-activity, we find transcription factor expression levels to be the main determinant of gene co-activity. Our results indicate that distal trans effects contribute more than local genetic variation to individual variation in co-activity domains.",
author = "Duin, {Lucas van} and Robert Krautz and Sarah Rennie and Robin Andersson",
year = "2022",
doi = "10.1101/2022.10.11.511770",
language = "English",
type = "WorkingPaper",

}

RIS

TY - UNPB

T1 - Transcription factor expression is the main determinant of variability in gene co-activity

AU - Duin, Lucas van

AU - Krautz, Robert

AU - Rennie, Sarah

AU - Andersson, Robin

PY - 2022

Y1 - 2022

N2 - Many genes are co-expressed and form genomic domains of coordinated gene activity. However, the regulatory determinants of domain co-activity remain unclear. Here, we leverage human individual variation in gene expression to characterize the co-regulatory processes underlying domain co-activity and systematically quantify their effect sizes. We employ transcriptional decomposition to extract from RNA expression data an expression component related to co-activity revealed by genomic positioning. This strategy reveals close to 1,500 co-activity domains, covering most expressed genes, of which the large majority are invariable across individuals. Focusing specifically on domains with high variability in co-activity reveals that contained genes have a higher sharing of eQTLs, a higher variability in enhancer interactions, and an enrichment of binding by variably expressed transcription factors compared to genes within non-variable domains. Through careful quantification of the relative contributions of regulatory processes underlying co-activity, we find transcription factor expression levels to be the main determinant of gene co-activity. Our results indicate that distal trans effects contribute more than local genetic variation to individual variation in co-activity domains.

AB - Many genes are co-expressed and form genomic domains of coordinated gene activity. However, the regulatory determinants of domain co-activity remain unclear. Here, we leverage human individual variation in gene expression to characterize the co-regulatory processes underlying domain co-activity and systematically quantify their effect sizes. We employ transcriptional decomposition to extract from RNA expression data an expression component related to co-activity revealed by genomic positioning. This strategy reveals close to 1,500 co-activity domains, covering most expressed genes, of which the large majority are invariable across individuals. Focusing specifically on domains with high variability in co-activity reveals that contained genes have a higher sharing of eQTLs, a higher variability in enhancer interactions, and an enrichment of binding by variably expressed transcription factors compared to genes within non-variable domains. Through careful quantification of the relative contributions of regulatory processes underlying co-activity, we find transcription factor expression levels to be the main determinant of gene co-activity. Our results indicate that distal trans effects contribute more than local genetic variation to individual variation in co-activity domains.

U2 - 10.1101/2022.10.11.511770

DO - 10.1101/2022.10.11.511770

M3 - Preprint

BT - Transcription factor expression is the main determinant of variability in gene co-activity

ER -

ID: 336750549