Evidence map›Paper›PMID 41889667›Full record

ArticleData in brief2026

Transcriptomic data of piglet blood compartments with 3' mRNA sequencing.

Gaëlle Payros, Kory Jason, Laure Gress, Maëlle Gusmini, Laurence Liaubet, Yannick Lippi

Abstract read
In one paragraph

Article in Data in brief, 2026. 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

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.

Gaëlle PayrosToxalim, Université de Toulouse, INRAE, ENVT, EI-Purpan, Toulouse, France.
Kory JasonToxalim, Université de Toulouse, INRAE, ENVT, EI-Purpan, Toulouse, France.
Laure GressGenPhySE, Université de Toulouse, INRA, ENVT, Castanet Tolosan, France.
Maëlle GusminiGenPhySE, Université de Toulouse, INRA, ENVT, Castanet Tolosan, France.
Laurence LiaubetGenPhySE, Université de Toulouse, INRA, ENVT, Castanet Tolosan, France.
Yannick LippiToxalim, Université de Toulouse, INRAE, ENVT, EI-Purpan, Toulouse, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article reports transcriptomic dataset generated by rationalized sequencing of the 3' ends of messenger RNAs (3' mRNA-Seq) in porcine samples. Libraries were prepared from whole blood, plasma, serum, and exosome-enriched fractions derived from plasma and serum. This approach was applied to whole blood, with porcine globin blockers being used to minimise the impact of the large quantity of globin transcripts. In addition, serum and plasma-derived RNA were processed without globin depletion, allowing a direct assessment of transcriptome profiles from these biofluids. Although the library preparation protocol employed was not originally designed for plasma or serum samples, we successfully produced libraries from RNA extracted from these different compartments. More unexpectedly, libraries could also be generated from exosome-enriched fractions. While expression profiles from plasma and serum fractions display distinctive characteristics compared to whole blood, a quite high proportion of genes were detected in these extracts. The resulting data provide comprehensive transcriptomic information across multiple sample types, including minimally invasive compartments, and are made available to support further exploration of 3' mRNA-Seq in biomedical and veterinary research.

Indexed as

3′ mRNA-SeqExosomesPigPlasmaSerumTranscriptomeWhole blood

Identifiers

PMID41889667
PMCPMC13015254

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LicenceCC BY
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Registered trials

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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.