Evidence map›Paper›PMID 39534499›Full record

ArticleNAR genomics and bioinformatics2024

Comparative single-cell transcriptomic analysis reveals putative differentiation drivers and potential origin of vertebrate retina.

Xin Zeng, Fuki Gyoja, Yang Cui, Martin Loza, Takehiro G Kusakabe, Kenta Nakai

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Xin ZengDepartment of Computational Biology and Medical Sciences, The University of Tokyo, Kashiwa 277-8563, Japan.
Fuki GyojaInstitute for Integrative Neurobiology and Department of Biology, Konan University, Kobe 658-8501, Japan.
Yang CuiDepartment of Computational Biology and Medical Sciences, The University of Tokyo, Kashiwa 277-8563, Japan.ORCID https://orcid.org/0009-0000-2110-6099
Martin LozaHuman Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan.ORCID https://orcid.org/0000-0002-3342-2643
Takehiro G KusakabeInstitute for Integrative Neurobiology and Department of Biology, Konan University, Kobe 658-8501, Japan.
Kenta NakaiDepartment of Computational Biology and Medical Sciences, The University of Tokyo, Kashiwa 277-8563, Japan.ORCID https://orcid.org/0000-0002-8721-8883

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite known single-cell expression profiles in vertebrate retinas, understanding of their developmental and evolutionary expression patterns among homologous cell classes remains limited. We examined and compared approximately 240 000 retinal cells from four species and found significant similarities among homologous cell classes, indicating inherent regulatory patterns. To understand these shared patterns, we constructed gene regulatory networks for each developmental stage for three of these species. We identified 690 regulons governed by 530 regulators across three species, along with 10 common cell class-specific regulators and 16 highly preserved regulons. RNA velocity analysis pinpointed conserved putative driver genes and regulators to retinal cell differentiation in both mouse and zebrafish. Investigation of the origins of retinal cells by examining conserved expression patterns between vertebrate retinal cells and invertebrate

Identifiers

PMID39534499
PMCPMC11555436

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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.