Evidence map›Paper›PMID 33853847›Full record

ArticleGenome research2021

Profiling single-cell histone modifications using indexing chromatin immunocleavage sequencing.

Wai Lim Ku, Lixia Pan, Yaqiang Cao, Weiwu Gao, Keji Zhao

Open access · hybridAbstract read
In one paragraph

Article in Genome research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
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

22 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Downregulation of Gene Expression by Alpha Satellite Transcripts.International journal of molecular sciences · 2025
    Article
  6. Review
  7. Review
  8. Single-cell Technologies Provide Novel Insights into Liver Physiology and Pathology.Journal of clinical and translational hepatology · 2024
    Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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

5 authors at 1 institution in 1 country.

Wai Lim Ku *Laboratory of Epigenome Biology, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892-1674, USA.ORCID 0000-0002-8859-6771
Lixia Pan *Laboratory of Epigenome Biology, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892-1674, USA.
Yaqiang CaoLaboratory of Epigenome Biology, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892-1674, USA.
Weiwu GaoLaboratory of Epigenome Biology, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892-1674, USA.
Keji ZhaoLaboratory of Epigenome Biology, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892-1674, USA.
National Institutes of Health · US

Funding

Genome-wide mapping of histone modificationsZIAHL005801 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ZHAO, KEJI · 2009 to 2025
$24.0M
Epigenetic Regulation of T cell differentiationZIAHL006030 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ZHAO, KEJI · 2009 to 2025
$15.3M
6 · The paper itself

Abstract

Recently, multiple single-cell assays were developed for detecting histone marks at the single-cell level. These techniques are either limited by the low cell throughput or sparse reads which limit their applications. To address these problems, we introduce indexing single-cell immunocleavage sequencing (iscChIC-seq), a multiplex indexing method based on TdT terminal transferase and T4 DNA ligase-mediated barcoding strategy and single-cell ChIC-seq, which is capable of readily analyzing histone modifications across tens of thousands of single cells in one experiment. Application of iscChIC-seq to profiling H3K4me3 and H3K27me3 in human white blood cells (WBCs) enabled successful detection of more than 10,000 single cells for each histone modification with 11 K and 45 K nonredundant reads per cell, respectively. Cluster analysis of these data allowed identification of monocytes, T cells, B cells, and NK cells from WBCs. The cell types annotated from H3K4me3 single-cell data are specifically correlated with the cell types annotated from H3K27me3 single-cell data. Our data indicate that iscChIC-seq is a reliable technique for profiling histone modifications in a large number of single cells, which may find broad applications in studying cellular heterogeneity and differentiation status in complex developmental and disease systems.

Indexed as

ChromatinHistone CodeChromatin ImmunoprecipitationProtein Processing, Post-TranslationalSequence Analysis, DNAChromatin

Identifiers

PMID33853847
PMCPMC8494230
OpenAlexW3152804038

What OpenQuestion holds

Textmetadata
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.