Evidence map›Paper›PMID 42672728›Full record

ReviewAdvanced biology2026

How Epitranscriptomic Machinery Senses Environmental Cues.

Shayan Jalali, Ehsan Pashay Ahi

Abstract readReview
In one paragraph

Review in Advanced biology, 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

2 authors.

Shayan JalaliDepartment of Health Sciences (DISS), University of Eastern Piedmont/Piemonte Orientale (UPO), Novara, Italy.ORCID https://orcid.org/0009-0005-3909-2920
Ehsan Pashay AhiFaculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.ORCID https://orcid.org/0000-0002-6528-1187

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental fluctuations remodel RNA modification landscapes, yet the routes that connect cue detection to writer-eraser-reader control remain dispersed across disciplines. Here, we consolidate upstream mechanisms capable of driving epitranscriptomic change and organize them by response speed. At the fastest proximal level, catalytic output can be modulated through shifts in substrate and cofactor availability, redox and ionic state, temperature, and direct chemical or metal interference with enzyme active sites, although transcriptome-wide RNA readouts may appear later. Over minutes to hours, cue-responsive signaling can reach the machinery through post-translational modification, partner switching, subcellular trafficking, and stress-induced condensates that may gate access to modified transcripts. Across hours to days, regulator abundance and specificity are reshaped by transcriptional programs, translational control, and protein quality-control pathways, enabling adaptation and, in some contexts, persistence. We propose a kinetics-to-sensors approach for interpreting time-resolved epitranscriptomic datasets and prioritizing perturbations that discriminate among candidate upstream inputs. We also outline conceptual gaps and experimental practices needed to establish causal cue-to-mark chains.

Indexed as

Epigenesis, GeneticTranscriptomeAnimalsEpitranscriptomeEpitranscriptomicsHumansProtein Processing, Post-TranslationalRNA Processing, Post-Transcriptionalenvironmental cuesepitranscriptomicsmetabolic couplingpost‐translational modificationsRNA modificationssignal‐dependent regulation

Identifiers

PMID42672728
PMCPMC13529231

What Socratic holds

Textmetadata
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.