OSCR

Transcript architecture predetermines m6A remodeling and sensory neuron vulnerability in chemotherapy-induced peripheral neuropathy

Overview

Authors: Md Mamunul Haque1, Ohannes K Melemedjian1,2,3
  1. Dept. of Neural and Pain Sciences, University of Maryland School of Dentistry, Baltimore, Maryland, USA
  2. UM Center to Advance Chronic Pain Research, Baltimore, Maryland, USA
  3. UM Marlene and Stewart Greenebaum Comprehensive Cancer Center, Baltimore, Maryland, USA
Journal: bioRxiv : the preprint server for biology, article 2026.05.18.722999
Dates: published online 18 May 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI · PMCID PMC13228407
Status: dead link (how the code is found and verified)
Categories: genetics / omics (modality), mouse (organism), other condition (population), cellular / molecular (subfield)
Methods: Spectral & time-frequency, Statistics, Smoothing, state filtering, decompositions, Machine learning, Preprocessing, Connectivity, Physiology & signal measures
Citations: 39 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

No file of the authors' code could be read here: it is described below, and read at its source.

MelemedjianLab/drg-m6a-architectural-determinism

License: none: the authors keep all their rights
State: the link is dead, verified on 28 September 2026
Evidence: found in the paper
Software Heritage: not archived
Found in: “Code Availability:”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 28 September 2026: the link is dead
  • 28 September 2026: the link is dead
At the source: github.com/MelemedjianLab/drg-m6a-architectural-determinism

Code availability statement

The paper has a code availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

Read it in the paper: doi.org/.

Tracing map

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Data

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Data availability statement

The paper has a data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

  • it says that the data are available on request

Read it in the paper: doi.org/.

Versions

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Version 1, 28 September 2026: the first record

Recorded: type, language, journal, pages, dates, 2 authors, 21 references.

Cite

This paper

Haque, M. M., & Melemedjian, O. K. (2026). Transcript architecture predetermines m6A remodeling and sensory neuron vulnerability in chemotherapy-induced peripheral neuropathy. bioRxiv : the preprint server for biology, 2026.05.18.722999.

BibTeX

@article{haque2026transcript,
author = {Haque, Md Mamunul and Melemedjian, Ohannes K},
title = {{Transcript architecture predetermines m6A remodeling and sensory neuron vulnerability in chemotherapy-induced peripheral neuropathy}},
journal = {bioRxiv : the preprint server for biology},
year = {2026},
month = may,
pages = {2026.05.18.722999},
publisher = {Cold Spring Harbor Laboratory Preprints},
pmcid = {PMC13228407}
}

RIS

TY - JOUR
AU - Haque, Md Mamunul
AU - Melemedjian, Ohannes K
TI - Transcript architecture predetermines m6A remodeling and sensory neuron vulnerability in chemotherapy-induced peripheral neuropathy
T2 - bioRxiv : the preprint server for biology
PY - 2026
DA - 2026/05/18
SP - 2026.05.18.722999
PB - Cold Spring Harbor Laboratory Preprints
LA - en
ER -

CSL-JSON

{
"id": "pmcid:PMC13228407",
"type": "article-journal",
"title": "Transcript architecture predetermines m6A remodeling and sensory neuron vulnerability in chemotherapy-induced peripheral neuropathy",
"container-title": "bioRxiv : the preprint server for biology",
"author": [
{
"family": "Haque",
"given": "Md Mamunul"
},
{
"family": "Melemedjian",
"given": "Ohannes K"
}
],
"page": "2026.05.18.722999",
"PMCID": "PMC13228407",
"publisher": "Cold Spring Harbor Laboratory Preprints",
"language": "en",
"issued": {
"date-parts": [
[
2026,
5,
18
]
]
}
}

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