Evidence map›Paper›PMID 41927596›Full record

ArticleNature communications2026

Long-read assembly reveals vast transcriptional complexity in the placenta associated with metabolic and endocrine function.

Sean T Bresnahan, Hannah E J Yong, Aryun Nemani, William H Wu, Sierra Lopez, Jerry Kok Yen Chan, Frédérique White, Pierre-Étienne Jacques, Marie-France Hivert, Shiao-Yng Chan and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2026. 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

5 · Who and what money

Authors and funding

13 authors.

Sean T BresnahanDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. stbresnahan@mdanderson.org.ORCID http://orcid.org/0000-0001-6685-1930
Hannah E J YongA*STAR Institute for Human Development and Potential, Singapore, Singapore.ORCID http://orcid.org/0000-0002-8814-752X
Aryun NemaniDepartment of BioSciences, Rice University, Houston, TX, USA.
William H WuDepartment of BioSciences, Rice University, Houston, TX, USA.
Sierra LopezDepartment of Public Health Sciences, The University of Hawai'i at Mānoa, Honolulu, HI, USA.ORCID http://orcid.org/0009-0003-7319-116X
Jerry Kok Yen ChanKK Women's and Children's Hospital, Singapore, Singapore.
Frédérique WhiteDepartment of Biology, Université de Sherbrooke, Sherbrooke, QC, Canada.ORCID http://orcid.org/0000-0002-3442-0033
Pierre-Étienne JacquesDepartment of Biology, Université de Sherbrooke, Sherbrooke, QC, Canada.ORCID http://orcid.org/0000-0002-3961-294X
Marie-France HivertDiabetes Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0001-7752-2585
Shiao-Yng ChanA*STAR Institute for Human Development and Potential, Singapore, Singapore.ORCID http://orcid.org/0000-0002-3530-3023
Michael I LoveDepartments of Genetics & Biostatistics, University of North Carolina-Chapel Hill, Chapel Hill, NC, USA.
Jonathan Y HuangA*STAR Institute for Human Development and Potential, Singapore, Singapore.ORCID http://orcid.org/0000-0002-5901-8403
Arjun BhattacharyaDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0003-1196-4385

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The placenta is critical for fetal development and mediates effects of pregnancy complications on offspring metabolic health yet remains poorly characterized in genomic studies. Existing transcriptomic analyses rely on adult tissue reference annotations, overlooking developmentally important splicing diversity. Using largest-in-class long-read RNA-seq (n = 72), we create a comprehensive placental transcriptome reference identifying 37,661 high-confidence isoforms (14,985 previously unannotated) across 12,302 genes (2,759 previously unannotated). Contrary to characterizations of the placenta as a transcriptomic void, we find transcriptional breadth and complexity comparable to adult tissues, with high splicing diversity of obesity- and growth-related gene transcripts, including 108 distinct CSH1 (placental lactogen) isoforms. Applying this reference to short-read RNA-seq from diverse populations (n = 352) reduced inferential uncertainty in isoform quantification by approximately 30%. We find placental transcription mediated 36% of gestational diabetes mellitus effects on birth weight, with ancestry-specific effects including previously unannotated CSH1 isoforms mediating larger effects in European (24.4%) than Asian (13.4%) populations. These findings illustrate the importance of tissue-matched, long-read annotations for isoform-resolved transcriptomics.

Indexed as

PlacentaTranscriptomeBirth WeightDiabetes, GestationalFemaleGene Expression ProfilingHumansPlacental LactogenPregnancyProtein IsoformsRNA-SeqTranscription, GeneticPlacental LactogenProtein Isoforms

Identifiers

PMID41927596
PMCPMC13219539

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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.