Evidence map›Paper›PMID 38914463›Full record

ReviewIntegrative and comparative biology2024

Single-cell Transcriptomic Studies Unveil Potential Nodes of the Notochord Gene Regulatory Network.

Lenny J Negrón-Piñeiro, Anna Di Gregorio

Abstract readReview
In one paragraph

Review in Integrative and comparative biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Fine-Tuned Expression of Evolutionarily Conserved Signaling Molecules in theInternational journal of molecular sciences · 2024
    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

2 authors.

Lenny J Negrón-PiñeiroDepartment of Molecular Pathobiology, New York University College of Dentistry, New York, NY 10010, USA.
Anna Di GregorioDepartment of Molecular Pathobiology, New York University College of Dentistry, New York, NY 10010, USA.ORCID 0000-0003-4089-7484

Funding

Elucidation of a Brachyury-independent branch of the notochord gene regulatory networkR03HD107314 · NICHD · NEW YORK UNIVERSITY · PI DI GREGORIO, ANNA · 2022 to 2023
$161k
Department of Molecular Pathobiology Accelerator B03 2024Eunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNICHD NIH HHS R03 HD107314NIH HHS R03HD107314NYU Office of the Vice Provost for Research
6 · The paper itself

Abstract

Transcription factors (TFs) are DNA-binding proteins able to modulate the timing, location, and levels of gene expression by binding to regulatory DNA regions. Therefore, the repertoire of TFs present in the genome of a multicellular organism and the expression of variable constellations of TFs in different cellular cohorts determine the distinctive characteristics of developing tissues and organs. The information on tissue-specific assortments of TFs, their cross-regulatory interactions, and the genes/regulatory regions targeted by each TF is summarized in gene regulatory networks (GRNs), which provide genetic blueprints for the specification, development, and differentiation of multicellular structures. In this study, we review recent transcriptomic studies focused on the complement of TFs expressed in the notochord, a distinctive feature of all chordates. We analyzed notochord-specific datasets available from organisms representative of the three chordate subphyla, and highlighted lineage-specific variations in the suite of TFs expressed in their notochord. We framed the resulting findings within a provisional evolutionary scenario, which allows the formulation of hypotheses on the genetic/genomic changes that sculpted the structure and function of the notochord on an evolutionary scale.

Indexed as

Gene Regulatory NetworksNotochordTranscriptomeAnimalsGene Expression ProfilingSingle-Cell AnalysisTranscription FactorsTranscription Factors

Identifiers

PMID38914463
PMCPMC11579531

What Socratic 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 Socratic graph.