Evidence map›Paper›PMID 38922665›Full record

ArticleGenome biology and evolution2024

A Novel Approach to Comparative RNA-Seq Does Not Support a Conserved Set of Orthologs Underlying Animal Regeneration.

Noémie C Sierra, Noah Olsman, Lynn Yi, Lior Pachter, Lea Goentoro, David A Gold

Abstract read
In one paragraph

Article in Genome biology and evolution, 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. 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.

Noémie C SierraDepartment of Earth and Planetary Sciences, University of California, Davis, Davis, CA 95616, USA.ORCID 0000-0003-1329-4733
Noah OlsmanDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0002-4351-3880
Lynn YiDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0003-4575-0158
Lior PachterDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0002-9164-6231
Lea GoentoroDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0002-3904-0195
David A GoldDepartment of Earth and Planetary Sciences, University of California, Davis, Davis, CA 95616, USA.ORCID 0000-0003-0135-4022

Funding

James E. and Charlotte Fedde Cordes Postdoctoral FellowshipNational Science Foundation 2044871
6 · The paper itself

Abstract

Molecular studies of animal regeneration typically focus on conserved genes and signaling pathways that underlie morphogenesis. To date, a holistic analysis of gene expression across animals has not been attempted, as it presents a suite of problems related to differences in experimental design and gene homology. By combining orthology analyses with a novel statistical method for testing gene enrichment across large data sets, we are able to test whether tissue regeneration across animals shares transcriptional regulation. We applied this method to a meta-analysis of six publicly available RNA-Seq data sets from diverse examples of animal regeneration. We recovered 160 conserved orthologous gene clusters, which are enriched in structural genes as opposed to those regulating morphogenesis. A breakdown of gene presence/absence provides limited support for the conservation of pathways typically implicated in regeneration, such as Wnt signaling and cell pluripotency pathways. Such pathways are only conserved if we permit large amounts of paralog switching through evolution. Overall, our analysis does not support the hypothesis that a shared set of ancestral genes underlie regeneration mechanisms in animals. After applying the same method to heat shock studies and getting similar results, we raise broader questions about the ability of comparative RNA-Seq to reveal conserved gene pathways across deep evolutionary relationships.

Indexed as

RegenerationRNA-SeqAnimalsEvolution, MolecularSequence Analysis, RNAevolutionregenerationRNA-Seq

Identifiers

PMID38922665
PMCPMC11214158

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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.