Evidence map›Paper›PMID 42337368›Full record

ArticleEMBO reports2026

Validation of the mRNA epitranscriptome: SCARPET reveals that mapped m

Rohit Nalavade, Aashiq H Mirza, Samie R Jaffrey

Abstract read
In one paragraph

Article in EMBO reports, 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

3 authors.

Rohit NalavadeDepartment of Pharmacology, Weill Cornell Medicine, Cornell University, New York, NY, USA.ORCID 0000-0002-9040-8485
Aashiq H MirzaDepartment of Pharmacology, Weill Cornell Medicine, Cornell University, New York, NY, USA.ORCID 0000-0002-9655-5267
Samie R JaffreyDepartment of Pharmacology, Weill Cornell Medicine, Cornell University, New York, NY, USA. srj2003@med.cornell.edu.ORCID 0000-0003-3615-6958

Funding

Center for Multi-Scale Analysis of the Human EpitranscriptomeRM1HG011563 · NHGRI · WEILL MEDICAL COLL OF CORNELL UNIV · PI SAMIE R JAFFREY, Kathryn D Meyer · 2021 to 2026
$22.2M
CANCER PHARMACOLOGYT32CA062948 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LORRAINE J GUDAS · 1994 to 2026
$12.1M
New mechanisms and technologies for understanding post-transcriptional gene regulation in neuronsR35NS111631 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI SAMIE R JAFFREY · 2019 to 2026
$8.6M
Mechanisms of epitranscriptomic regulation in cancerR01CA186702 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI SAMIE R JAFFREY, Michael Kharas · 2014 to 2026
$8.0M
Ultra-sensitive multi-mode laser-scanning imaging systemS10OD030335 · OD · WEILL MEDICAL COLL OF CORNELL UNIV · PI JAFFREY, SAMIE R · 2021 to 2021
$163k
HHS | National Institutes of Health (NIH) R01CA186702HHS | National Institutes of Health (NIH) R35NS111631HHS | National Institutes of Health (NIH) RM1HG011563HHS | National Institutes of Health (NIH) S10 OD030335HHS | NIH | National Cancer Institute (NCI) CA062948NCI NIH HHS R01 CA186702NCI NIH HHS T32 CA062948NHGRI NIH HHS RM1 HG011563NIH HHS S10 OD030335NINDS NIH HHS R35 NS111631ODCDC CDC HHS S10 OD030335
6 · The paper itself

Abstract

A major goal in epitranscriptomics is to define the diversity of modified nucleotides in mRNA. Most candidate sites are discovered using transcriptome-wide mapping methods that rely on antibody enrichment or modification-induced misincorporations during cDNA synthesis. However, these maps are rarely verified biochemically, and in some cases have yielded conflicting conclusions, most notably for N

Indexed as

InosineRNA, MessengerAdenosineEpitranscriptomeEpitranscriptomicsHumansRNA Methylation1-methyladenosineAdenosineInosineRNA, Messenger

Identifiers

PMID42337368
PMCPMC13458256

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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.