Evidence map›Paper›PMID 31292545›Full record

ArticleNature2019

scSLAM-seq reveals core features of transcription dynamics in single cells.

Florian Erhard, Marisa A P Baptista, Tobias Krammer, Thomas Hennig, Marius Lange, Panagiota Arampatzi, Christopher S Jürges, Fabian J Theis, Antoine-Emmanuel Saliba, Lars Dölken

Abstract read
PubMed Publisher
In one paragraph

Article in Nature, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 146 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
146citing papers in PubMed, 1 pooled it
9.9field-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

146 citing papers in PubMed, 1 synthesis or guideline pooled it, 240 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Integration of Bulk and Single-Cell RNA Sequencing Analyses in Biomedicine.International journal of molecular sciences · 2026
    Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. The Kinetic Intron Hypothesis.bioRxiv : the preprint server for biology · 2026
    Article
  18. Article
  19. Article
  20. Article

86 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

10 authors at 4 institutions in 1 country.

Florian Erhard *Institute for Virology and Immunobiology, Julius-Maximilians-University Würzburg, Würzburg, Germany. florian.erhard@uni-wuerzburg.de.
Marisa A P Baptista *Institute for Virology and Immunobiology, Julius-Maximilians-University Würzburg, Würzburg, Germany.
Tobias Krammer *Helmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz-Center for Infection Research (HZI), Würzburg, Germany.
Thomas HennigInstitute for Virology and Immunobiology, Julius-Maximilians-University Würzburg, Würzburg, Germany.
Marius LangeInstitute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
Panagiota ArampatziCore Unit Systems Medicine, University of Würzburg, Würzburg, Germany.
Christopher S JürgesInstitute for Virology and Immunobiology, Julius-Maximilians-University Würzburg, Würzburg, Germany.
Fabian J TheisInstitute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
Antoine-Emmanuel SalibaHelmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz-Center for Infection Research (HZI), Würzburg, Germany. emmanuel.saliba@helmholtz-hiri.de.
Lars DölkenInstitute for Virology and Immunobiology, Julius-Maximilians-University Würzburg, Würzburg, Germany. lars.doelken@uni-wuerzburg.de.
University of Würzburg · DEHelmholtz Institute for RNA-based Infection Research · DEHelmholtz Zentrum München · DETechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell RNA sequencing (scRNA-seq) has highlighted the important role of intercellular heterogeneity in phenotype variability in both health and disease

Indexed as

Single-Cell AnalysisAlkylationAnimalsCell CycleCytomegalovirusDNA MethylationFibroblastsGene Expression RegulationKineticsMicePromoter Regions, GeneticRNASequence Analysis, RNASulfhydryl CompoundsTranscription, GeneticRNASulfhydryl Compounds

Identifiers

PMID31292545
OpenAlexW2957836762

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.