The Role of Noncoding Variants in Heritable Disease DOI
Juliet D. French, Stacey L. Edwards

Trends in Genetics, Journal Year: 2020, Volume and Issue: 36(11), P. 880 - 891

Published: July 31, 2020

Language: Английский

Understanding 3D genome organization by multidisciplinary methods DOI
Ivana Jerković, Giacomo Cavalli

Nature Reviews Molecular Cell Biology, Journal Year: 2021, Volume and Issue: 22(8), P. 511 - 528

Published: May 5, 2021

Language: Английский

Citations

303

Advances in targeting ‘undruggable’ transcription factors with small molecules DOI
Matthew J. Henley, Angela N. Koehler

Nature Reviews Drug Discovery, Journal Year: 2021, Volume and Issue: 20(9), P. 669 - 688

Published: May 18, 2021

Language: Английский

Citations

271

Beyond the RNA-dependent function of LncRNA genes DOI Creative Commons
Tamer Ali, Phillip Grote

eLife, Journal Year: 2020, Volume and Issue: 9

Published: Oct. 23, 2020

While long non-coding RNA (lncRNA) genes have attracted a lot of attention in the last decade, focus regarding their mechanisms action has been primarily on product these genes. Recent work several lncRNAs demonstrates that not only is produced species important, but also transcription lncRNA locus alone can regulatory functions. Like functions transcripts, underlie genome-based are varied. Here we highlight some examples and provide an outlook how functional gene be determined.

Language: Английский

Citations

233

Biomarkers of aging DOI Open Access

Hainan Bao,

Jiani Cao, Mengting Chen

et al.

Science China Life Sciences, Journal Year: 2023, Volume and Issue: 66(5), P. 893 - 1066

Published: April 11, 2023

Language: Английский

Citations

205

Nuclear compartmentalization as a mechanism of quantitative control of gene expression DOI
Prashant Bhat, Drew D. Honson, Mitchell Guttman

et al.

Nature Reviews Molecular Cell Biology, Journal Year: 2021, Volume and Issue: 22(10), P. 653 - 670

Published: Aug. 2, 2021

Language: Английский

Citations

202

The Mediator complex as a master regulator of transcription by RNA polymerase II DOI Open Access
William F. Richter, Shraddha Nayak, Janet Iwasa

et al.

Nature Reviews Molecular Cell Biology, Journal Year: 2022, Volume and Issue: 23(11), P. 732 - 749

Published: June 20, 2022

Language: Английский

Citations

202

Regulation of single-cell genome organization into TADs and chromatin nanodomains DOI
Quentin Szabo, Axelle Donjon, Ivana Jerković

et al.

Nature Genetics, Journal Year: 2020, Volume and Issue: 52(11), P. 1151 - 1157

Published: Oct. 19, 2020

Language: Английский

Citations

167

Stabilization of chromatin topology safeguards genome integrity DOI
Fena Ochs, Gopal Karemore, Ezequiel Miron

et al.

Nature, Journal Year: 2019, Volume and Issue: 574(7779), P. 571 - 574

Published: Oct. 23, 2019

Language: Английский

Citations

165

Machine learning for multi-omics data integration in cancer DOI Creative Commons
Zhaoxiang Cai, Rebecca C. Poulos, Jia Liu

et al.

iScience, Journal Year: 2022, Volume and Issue: 25(2), P. 103798 - 103798

Published: Jan. 22, 2022

Multi-omics data analysis is an important aspect of cancer molecular biology studies and has led to ground-breaking discoveries. Many efforts have been made develop machine learning methods that automatically integrate omics data. Here, we review tools categorized as either general-purpose or task-specific, covering both supervised unsupervised for integrative multi-omics We benchmark the performance five approaches using from Cancer Cell Line Encyclopedia, reporting accuracy on type classification mean absolute error drug response prediction, evaluating runtime efficiency. This provides recommendations researchers regarding suitable method selection their specific applications. It should also promote development novel methodologies integration, which will be essential discovery, clinical trial design, personalized treatments.

Language: Английский

Citations

163

Cohesin-Dependent and -Independent Mechanisms Mediate Chromosomal Contacts between Promoters and Enhancers DOI Creative Commons
Michiel J. Thiecke, Gordana Wutz, Matthias Muhar

et al.

Cell Reports, Journal Year: 2020, Volume and Issue: 32(3), P. 107929 - 107929

Published: July 1, 2020

It is currently assumed that 3D chromosomal organization plays a central role in transcriptional control. However, depletion of cohesin and CTCF affects the steady-state levels only minority transcripts. Here, we use high-resolution Capture Hi-C to interrogate dynamics contacts all annotated human gene promoters upon degradation CTCF. We show majority promoter-anchored are lost these conditions, but many with distinct properties maintained, some new ones gained. The rewiring between active enhancers associates rapid changes target transcription as detected by SLAM sequencing (SLAM-seq). These results provide mechanistic explanation for limited, consistent, effects on suggest existence both cohesin-dependent -independent mechanisms enhancer-promoter pairing.

Language: Английский

Citations

151