Evidence map›Paper›PMID 39774984›Full record

ArticleScientific reports2025

Comparative analysis of improved m6A sequencing based on antibody optimization for low-input samples.

Jiafeng Lu, Wenjuan Xia, Jincheng Li, Liya Zhang, Chunfeng Qian, Hong Li, Boxian Huang

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Epitranscriptomic sculpting: the role of mMedical oncology (Northwood, London, England) · 2025
    Review
  5. 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

7 authors.

Jiafeng Lu *State Key Laboratory of Reproductive Medicine, Suzhou Municipal Hospital, Suzhou Affiliated Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou, 215002, China.
Wenjuan Xia *State Key Laboratory of Reproductive Medicine, Suzhou Municipal Hospital, Suzhou Affiliated Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou, 215002, China.
Jincheng LiState Key Laboratory of Reproductive Medicine, Suzhou Municipal Hospital, Suzhou Affiliated Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou, 215002, China.
Liya ZhangState Key Laboratory of Reproductive Medicine, Suzhou Municipal Hospital, Suzhou Affiliated Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou, 215002, China.
Chunfeng QianState Key Laboratory of Reproductive Medicine, Suzhou Municipal Hospital, Suzhou Affiliated Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou, 215002, China.
Hong LiState Key Laboratory of Reproductive Medicine, Suzhou Municipal Hospital, Suzhou Affiliated Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou, 215002, China.
Boxian HuangState Key Laboratory of Reproductive Medicine, Suzhou Municipal Hospital, Suzhou Affiliated Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou, 215002, China. huangboxiannj@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most effective method for mapping N6-methyladenosine (m

Indexed as

AdenosineAntibodiesSequence Analysis, RNAAnimalsHigh-Throughput Nucleotide SequencingHumansImmunoprecipitationLiverMiceRNAAdenosineAntibodiesN-methyladenosineRNAHuman fetal brainHuman fetal liverm6A antibodyMeRIP SeqMouse brainMouse liver

Identifiers

PMID39774984
PMCPMC11707076

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.