Evidence map›Paper›PMID 40958127›Full record

ArticleHereditas2025

Single-cell multi-omics as a window into the non-coding transcriptome.

Hua-Sheng Chiu

Abstract readEditorial
In one paragraph

Article in Hereditas, 2025. 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. Review
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

1 author.

Hua-Sheng ChiuDepartment of Pediatrics, Texas Children's Cancer Center, Baylor College of Medicine, Houston, TX, 77030, USA. hchiu@bcm.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This Editorial introduces my research background as the new Non-coding RNA Section Editor at Hereditas and serves as a call for submissions for the special collection, "Single-Cell Multi-Omic Analysis of Cancer Interactome". Single-cell multi-omic approaches are opening new windows into the non-coding transcriptome, revealing how these molecules shape cellular identity in ways bulk analyses often miss. In this article, I focus on non-coding RNAs and emphasize the importance of integrative systems biology and multi-omics in this field, while also highlighting how these perspectives can guide future discoveries. I cordially invite you to contribute your work by submitting manuscripts to this collection.

Indexed as

RNA, UntranslatedSingle-Cell AnalysisTranscriptomeGenomicsHumansMultiomicsNeoplasmsSystems BiologyRNA, UntranslatedBigHornceRNACupidHermeslncRNALongHornmiRNANon-coding RNASingle-cell sequencingSystems biology

Identifiers

PMID40958127
PMCPMC12439418

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.