Evidence map›Paper›PMID 32888423›Full record

ArticleCell stem cell2020

Hematopoiesis in High Definition: Combining State and Fate Mapping.

Ava Keyvani Chahi, Kristin J Hope

Abstract readComment
PubMed Publisher
In one paragraph

Article in Cell stem cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Ava Keyvani ChahiDepartment of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada.
Kristin J HopeDepartment of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada; Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada. Electronic address: kristin.hope@uhnresearch.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lineage tracing and single-cell sequencing methods have been used independently to profile fate outcomes or molecular phenotypes, respectively. Weinreb et al. (2020) and Pei et al. (2020) (the latter in this issue of Cell Stem Cell) advance the shared principle that a simultaneous accounting of clonal and transcriptional trajectories provides critical new insights into organization and decision-making in hematopoiesis.

Indexed as

HematopoiesisSingle-Cell AnalysisCell DifferentiationCell Lineage

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.