Evidence map›Paper›PMID 35840754›Full record

ReviewNature reviews. Genetics2023

Characterizing cis-regulatory elements using single-cell epigenomics.

Sebastian Preissl, Kyle J Gaulton, Bing Ren

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 165 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
165citing papers in PubMed, 1 pooled it
18.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

165 citing papers in PubMed, 1 synthesis or guideline pooled it, 241 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. UnlockingNAR genomics and bioinformatics · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Cardiac epigenome in heart development and disease.Nature reviews. Cardiology · 2026
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Dissecting PGENature communications · 2026
    Article

105 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 3 countries.

Sebastian PreisslCenter for Epigenomics, University of California San Diego, La Jolla, CA, USA. sebastian.preissl@pharmakol.uni-freiburg.de.ORCID 0000-0001-8971-5616
Kyle J GaultonDepartment of Paediatrics, Paediatric Diabetes Research Center, University of California San Diego, La Jolla, CA, USA. kgaulton@health.ucsd.edu.
Bing RenCenter for Epigenomics, University of California San Diego, La Jolla, CA, USA. biren@health.ucsd.edu.ORCID 0000-0002-5435-1127
Ludwig Cancer Research · BEUC San Diego Health System · USUniversity of Freiburg · DE

Funding

Center for Multiomic Human Brain Cell AtlasUM1MH130994 · NIMH · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI MARIA MARGARITA BEHRENS, Joseph R Ecker · 2022 to 2026
$92.4M
Generation of novel cell type specific mouse genetic toolsU19MH114830 · NIMH · ALLEN INSTITUTE · PI ZENG, HONGKUI · 2017 to 2021
$64.7M
Molecular SignaturesU19MH114831 · NIMH · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI CALLAWAY, EDWARD M · 2017 to 2021
$24.6M
The next iteration of the AMP-T2D Knowledge PortalUM1DK105554 · NIDDK · BROAD INSTITUTE, INC. · PI BOEHNKE, MICHAEL L, BURTT, NOEL P · 2020 to 2025
$18.5M
Proposal for the AMP T2D-GENES Data Coordination Center and Web PortalU01DK105554 · NIDDK · BROAD INSTITUTE, INC. · PI FLOREZ, JOSE CARLOS · 2015 to 2019
$16.8M
Spatial Mapping Senescent Cells Across the Mouse Lifespan by Multiplex Transcriptomics and EpigenomicsU54AG079758 · NIA · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI PETER D. ADAMS, Bing Ren · 2022 to 2026
$12.1M
San Diego Center for 4D Nucleome ResearchU54DK107977 · NIDDK · LUDWIG INSTITUTE FOR CANCER RES LTD · PI REN, BING · 2015 to 2019
$9.4M
Toward a human adult brain cell atlas with single-cell technologiesU01MH114828 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHUN, JEROLD, REN, BING · 2018 to 2022
$8.7M
High throughput CRISPR-mediated functional validation of regulatory elementsUM1HG009402 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI REN, BING, SHEN, YIN · 2017 to 2021
$8.4M
The impact of genomic variation on environment-induced changes in pancreatic beta cell statesU01HG012059 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Hannah Kathryn Carter, Kyle Jeffrie Gaulton · 2021 to 2026
$7.5M
Center for Integrated Multi-modal and Multi-scale Nucleome ResearchUM1HG011585 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DULAC, CATHERINE, LEIN, ED · 2020 to 2024
$6.7M
Epigenomic cell-type classification and regulatory element identification in the human brainU01MH121282 · NIMH · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI BEHRENS, M MARGARITA, ECKER, JOSEPH R · 2019 to 2021
$5.4M
NEI NIH HHS R01 EY030591NEI NIH HHS R01 EY031663NHGRI NIH HHS U01 HG003151NHGRI NIH HHS U01 HG012059NHGRI NIH HHS UM1 HG009402NHGRI NIH HHS UM1 HG011585NHLBI NIH HHS U01 HL148867NIA NIH HHS R01 AG066018NIA NIH HHS R01 AG067153NIA NIH HHS R24 AG073198NIA NIH HHS R56 AG069107NIA NIH HHS U54 AG079758NICHD NIH HHS R01 HD102534NIDA NIH HHS U01 DA052769NIDDK NIH HHS R01 DK114650NIDDK NIH HHS R01 DK122607NIDDK NIH HHS U01 DK105554NIDDK NIH HHS U01 DK120429NIDDK NIH HHS U54 DK107977NIDDK NIH HHS UM1 DK105554NIMH NIH HHS RF1 MH124612NIMH NIH HHS RF1 MH128838NIMH NIH HHS U01 MH114828NIMH NIH HHS U01 MH121282NIMH NIH HHS U19 MH114830NIMH NIH HHS U19 MH114831NIMH NIH HHS UM1 MH130994
6 · The paper itself

Abstract

Cell type-specific gene expression patterns and dynamics during development or in disease are controlled by cis-regulatory elements (CREs), such as promoters and enhancers. Distinct classes of CREs can be characterized by their epigenomic features, including DNA methylation, chromatin accessibility, combinations of histone modifications and conformation of local chromatin. Tremendous progress has been made in cataloguing CREs in the human genome using bulk transcriptomic and epigenomic methods. However, single-cell epigenomic and multi-omic technologies have the potential to provide deeper insight into cell type-specific gene regulatory programmes as well as into how they change during development, in response to environmental cues and through disease pathogenesis. Here, we highlight recent advances in single-cell epigenomic methods and analytical tools and discuss their readiness for human tissue profiling.

Indexed as

EpigenomicsRegulatory Sequences, Nucleic AcidChromatinDNA MethylationHumansPromoter Regions, GeneticChromatin

Identifiers

PMID35840754
PMCPMC9771884
OpenAlexW4285490847

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.