Evidence map›Paper›PMID 31199914›Full record

ArticleCell2019

Integration of Single-Cell Genomics Datasets.

Andrew C Adey

Abstract readComment
PubMed Publisher
In one paragraph

Article in Cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Variable expression ofProceedings of the National Academy of Sciences of the United States of America · 2024
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
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  9. Article
  10. Review
  11. Article
  12. Article
  13. Discovery of alternative polyadenylation dynamics from single cell types.Computational and structural biotechnology journal · 2020
    Review
  14. Review
  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Andrew C AdeyDepartment of Molecular & Medical Genetics, Knight Cardiovascular Institute, Knight Cancer Institute, Cancer Early-Detection Advanced Research Center, Oregon Health & Science University, Portland, OR 97239, USA. Electronic address: adey@ohsu.edu.

Funding

Defining the epigentic landscape at single cell resolutionR35GM124704 · NIGMS · OREGON HEALTH & SCIENCE UNIVERSITY · PI ADEY, ANDREW · 2017 to 2021
$2.3M
Epigenetic tools and resources for cell-type and spatial analysis of individual mammalian non-neuronal cellsR01DA047237 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI ADEY, ANDREW · 2018 to 2020
$1.7M
NIDA NIH HHS R01 DA047237NIGMS NIH HHS R35 GM124704
6 · The paper itself

Abstract

Welch et al. and Stuart et al. present novel techniques for the integration of single-cell RNA-seq datasets across multiple platforms, individuals, and species. They both extend these strategies to map cell types between RNA-seq datasets with epigenetic properties and in situ transcript profiling. The ability to transfer information between datasets and spatial methods will enable more comprehensive profiling and comparisons of cell populations in complex biological systems.

Indexed as

Gene Expression ProfilingGenomicsEpigenomicsHumans

Identifiers

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.