Question map
In the context of the developments in Bioinformatics, the term 'transcriptome', sometimes seen in the news, refers to
Explanation
The correct answer is option B because the transcriptome refers to the full range of mRNA molecules expressed by an organism. The term "transcriptome" is derived from "transcript" (referring to RNA transcripts) and represents the complete set of RNA molecules, particularly messenger RNA (mRNA), that are produced by the genome under specific circumstances or in a specific cell. This is distinct from the genome (the complete DNA sequence) as the transcriptome reflects which genes are actually being expressed at any given time.
Option A is incorrect because genome editing uses enzymes like CRISPR-Cas9, not the transcriptome itself. Option C is incorrect because while the transcriptome is related to gene expression, it is not a description of the mechanism but rather the actual collection of expressed RNA molecules. Option D is incorrect because the transcriptome does not refer to genetic mutations; it represents normal gene expression patterns in cells and can vary based on cell type, developmental stage, or environmental conditions.
Sources- [1] https://monographs.iarc.who.int/wp-content/uploads/2025/06/KCW-FINAL.pdf
- [2] https://www.sciencedirect.com/science/article/pii/S2001037020302993
PROVENANCE & STUDY PATTERN
Guest previewThis question is a classic 'Term in News' that rewards etymological common sense over deep technical knowledge. If you know 'Transcription' (DNA → RNA) from basic NCERT Biology, the suffix '-ome' (meaning 'complete set') makes the answer obvious. It is fair because it relies on the fundamental 'Central Dogma' of biology.
This question can be broken into the following sub-statements. Tap a statement sentence to jump into its detailed analysis.
- Explicitly uses the term "transcriptomics data" and "Transcriptional BMDLs", tying the concept to transcriptional measurements.
- Connects these transcriptional data to biological processes, pathways and gene ontologies, indicating the transcriptome represents gene-expression (RNA) information.
- Refers to "epitranscriptomes" and bioinformatics approaches to decipher them, directly associating the term with RNA-related data.
- Places transcriptome-related analysis within bioinformatics techniques for RNA and its modifications, supporting that transcriptome pertains to RNA transcripts.
Mentions sequencing facilities, analytical protocols and informatics platforms used to build reference libraries — indicating large-scale sequencing and informatics efforts in biology.
A student could combine this with the basic fact that sequencing can read RNA-derived data to infer that a 'transcriptome' might be a dataset produced and analysed by such sequencing/informatics pipelines.
Explains that cellular DNA provides information for making proteins and that genes code for proteins — establishes the flow from genetic information to functional molecules.
Using the basic knowledge that genes are transcribed into RNA before translation, a student could infer the transcriptome relates to those RNA products derived from genes.
Describes genes as instruction manuals stored in cells and mentions changes in hereditary instructions — emphasises the concept of gene-based information within cells.
A student could extend this by noting that the active expression of those instructions involves RNA molecules, suggesting the transcriptome catalogs expressed genetic instructions (RNA) in cells.
Defines genetic modification as deliberate alteration of hereditary material (DNA) and mentions insertion of genes — highlights the centrality of genes/DNA in molecular biology.
Coupling this with standard knowledge that altered genes produce altered RNA outputs, a student might deduce that studying the transcriptome would reveal expression changes from such modifications.
Mentions biobanks that archive biological samples for research — points to availability of material (RNA/DNA) used in large-scale molecular studies.
A student could reason that transcriptome studies require biological samples (for extracting RNA) stored in such biobanks and then analysed via sequencing/informatics.
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