Evidence map›Paper›PMID 41273699›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Modern Approaches in Genetic Toxicology Research: Insights from Next-Generation-Based RNA Sequencing.

Roli Budhwar, Anita Tripathi, Baisakhi Mondal

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 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
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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

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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.

Roli BudhwarBionivid Technology Private Limited, Bengaluru, India. roli@bionivid.com.
Anita TripathiBionivid Technology Private Limited, Bengaluru, India.
Baisakhi MondalUniversity of Hertfordshire, Hatfield, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptomics-based approaches, particularly in human-derived cell systems, are emerging as key New Approach Methods (NAMs). These methods offer high-throughput, high-content, and human-relevant analyses of DNA damage. Transcriptomic profiling, which tracks gene expression changes resulting from chemical exposure, provides insights into both adverse and adaptive biological responses. This chapter gives an insight into the methodology (Wet Lab and Dry Lab) to be followed for the RNA sequencing and RNA data analysis, which can be used for identifying the biomarkers/signatures for the genotoxicity-based studies. RNA sequencing is a useful next-generation sequencing (NGS) technique, which has wide variety of applications which include studying altered gene expression, alternative spliced transcripts, gene fusion, post-transcriptional modifications, and mutations/single nucleotide polymorphisms (SNPs). Not only mRNA, RNA-Seq is used to study small RNAs as well as long non-coding RNA profiles in a cell or tissues. The basic steps for RNA-Seq include RNA isolation, cDNA synthesis, attachment of adapters, cDNA library preparation, followed by sequencing and bioinformatic data analysis workflow. The depth to which the library is sequenced depends on the usage of the output data. The sequencing usually follows either single-read or paired-end sequencing methods. Once the data is generated, it can be processed using R-programming, which is briefly discussed here as well.

Indexed as

High-Throughput Nucleotide SequencingSequence Analysis, RNAComputational BiologyDNA DamageGene Expression ProfilingGene LibraryHumansTranscriptomeData analysisIllumina and Oxford Nanopore technologiesNAMsNGSRNA-Seq

Identifiers

PMID41273699

What OpenQuestion holds

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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.