Evidence map›Paper›PMID 29529018›Full record

ArticleNature methods2018

Alignment of single-cell trajectories to compare cellular expression dynamics.

Ayelet Alpert, Lindsay S Moore, Tania Dubovik, Shai S Shen-Orr

Abstract read
PubMed Publisher
In one paragraph

Article in Nature methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Cell-specific dedifferentiation inbioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. TrAGEDy-trajectory alignment of gene expression dynamics.Bioinformatics (Oxford, England) · 2025
    Article
  14. Single-cell Technology in Stem Cell Research.Current stem cell research & therapy · 2025
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  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.

Ayelet AlpertFaculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.
Lindsay S MooreFaculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.
Tania DubovikFaculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.
Shai S Shen-OrrFaculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.ORCID 0000-0002-6991-7736

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell RNA sequencing and high-dimensional cytometry can be used to generate detailed trajectories of dynamic biological processes such as differentiation or development. Here we present cellAlign, a quantitative framework for comparing expression dynamics within and between single-cell trajectories. By applying cellAlign to mouse and human embryonic developmental trajectories, we systematically delineate differences in the temporal regulation of gene expression programs that would otherwise be masked.

Indexed as

TranscriptomeAnimalsBase SequenceCytophotometryGene Expression RegulationHumansMiceSequence Analysis, RNASingle-Cell Analysis

Identifiers

PMID29529018

What OpenQuestion holds

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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.