Evidence map›Paper›PMID 40666916›Full record

ArticlebioRxiv : the preprint server for biology2025

Long-read transcriptome assembly reveals vast isoform diversity in the placenta associated with metabolic and endocrine function.

Sean T Bresnahan, Hannah Yong, William H Wu, Sierra Lopez, Jerry Kok Yen Chan, Frédérique White, Pierre-Étienne Jacques, Marie-France Hivert, Shiao-Yng Chan, Michael I Love and 2 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

12 authors.

Sean T BresnahanThe University of Texas MD Anderson Cancer Center, Department of Epidemiology, Houston, TX.ORCID 0000-0001-6685-1930
Hannah YongA*STAR Institute for Human Development and Potential, Singapore, Singapore.ORCID 0000-0002-8814-752X
William H WuRice University, Department of BioSciences, Houston, TX.
Sierra LopezThe University of Hawai'i at Mānoa, Department of Public Health Sciences, Honolulu, HI.
Jerry Kok Yen ChanKK Women's and Children's Hospital, Singapore, Singapore.
Frédérique WhiteDepartment of Biology, Sherbrooke University, Sherbrooke, QC, Canada.ORCID 0000-0002-3442-0033
Pierre-Étienne JacquesDepartment of Biology, Sherbrooke University, Sherbrooke, QC, Canada.
Marie-France HivertDiabetes Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA.ORCID 0000-0001-7752-2585
Shiao-Yng ChanA*STAR Institute for Human Development and Potential, Singapore, Singapore.ORCID 0000-0002-3530-3023
Michael I LoveUniversity of North Carolina-Chapel Hill, Departments of Genetics & Biostatistics, Chapel Hill, NC.ORCID 0000-0001-8401-0545
Jonathan Y HuangThe University of Hawai'i at Mānoa, Department of Public Health Sciences, Honolulu, HI.ORCID 0000-0002-5901-8403
Arjun BhattacharyaThe University of Texas MD Anderson Cancer Center, Department of Epidemiology, Houston, TX.ORCID 0000-0003-1196-4385

Funding

Urgent Competitive Revision to Existing NIH Grants and Cooperative Agreements (Urgent Supplement - Clinical Trial Optional)U24MD015970 · NIMHD · MOREHOUSE SCHOOL OF MEDICINE · PI Sandra Perreira Chang, Elizabeth O. Ofili · 2020 to 2026
$20.6M
NIMHD NIH HHS U24 MD015970
6 · The paper itself

Abstract

The placenta plays a critical role in fetal development and mediates maternal metabolic effects on offspring health outcomes. Despite its importance, the placenta remains understudied in large-scale genomic initiatives, with most analyses focusing on gene-level expression based on annotations from adult tissue references that obscure isoform diversity particularly vital to understanding function in developmental tissues. Here, we employed largest-in-class long-read RNA sequencing (N = 72) to generate a comprehensive placental transcript reference, yielding 37,661 high-confidence isoforms across 12,302 genes. Our assembly revealed 14,985 novel isoforms of known genes and 2,759 transcripts representing previously unannotated genes, with extensive diversity in genes involved in obesity, placental lactogen production, and growth control. We demonstrate this approach has two immediate practical advantages: First, the improved reference reduced inferential uncertainty in isoform quantification by approximately 37%, reduced the frequency of low-confidence annotations and increased the yield (read depth) of high-confidence annotations. Second, in analyses of gestational diabetes mellitus (GDM) with short-read RNA-seq datasets from two independent, multi-ancestry birth cohorts (N = 344) as an exemplar, we were able to identify novel isoforms of chorionic somatomammotropin hormone 1 (

Indexed as

Inferential UncertaintyLong-Read RNA-sequencingMaternal-Child HealthOxford NanoporePlacentaResearch ReportsTranscript IsoformsTranscriptomics

Identifiers

PMID40666916
PMCPMC12262625

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.