Evidence map›Paper›PMID 29092000›Full record

ReviewBriefings in functional genomics2018

The Human Cell Atlas: Technical approaches and challenges.

Chung-Chau Hon, Jay W Shin, Piero Carninci, Michael J T Stubbington

Abstract readReview
In one paragraph

Review in Briefings in functional genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Gene set optimization for single cell transcriptomics.Computational intelligence methods for bioinformatics and biostatistics : ... international meeting, CIBB ... : revised selected papers. CIBB (Meeting) · 2025
    Article
  5. Article
  6. Article
  7. An Inflammatory Bowel Diseases Integrated Resources Portal (IBDIRP).Database : the journal of biological databases and curation · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. An era of single-cell genomics consortia.Experimental & molecular medicine · 2020
    Review
  18. Article
  19. Review
  20. Review
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

4 authors.

Chung-Chau HonRIKEN Center for Life Science Technologies, Division of Genomic Technologies, Yokohama, Kanagawa, Japan.
Jay W ShinRIKEN Center for Life Science Technologies, Division of Genomic Technologies, Yokohama, Kanagawa, Japan.
Piero CarninciRIKEN Center for Life Science Technologies, Division of Genomic Technologies, Yokohama, Kanagawa, Japan.
Michael J T StubbingtonWellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.

Funding

Wellcome Trust 206194
6 · The paper itself

Abstract

The Human Cell Atlas is a large, international consortium that aims to identify and describe every cell type in the human body. The comprehensive cellular maps that arise from this ambitious effort have the potential to transform many aspects of fundamental biology and clinical practice. Here, we discuss the technical approaches that could be used today to generate such a resource and also the technical challenges that will be encountered.

Indexed as

Databases, FactualGene Expression ProfilingSequence Analysis, RNASingle-Cell AnalysisHumans

Identifiers

PMID29092000
PMCPMC6063304

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.