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
Full viewThis 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.
- [THE VERDICT]: Sitter. Solvable via root-word analysis and Class XII NCERT Biology (Chapter: Molecular Basis of Inheritance).
- [THE CONCEPTUAL TRIGGER]: The 'Central Dogma' of Molecular Biology: DNA (Replication) → mRNA (Transcription) → Protein (Translation).
- [THE HORIZONTAL EXPANSION]: Memorize the 'Omics' family: Genome (Total DNA), Proteome (Total Proteins), Metabolome (Chemical processes), Microbiome (Community of microbes), Epigenome (Chemical tags on DNA), Connectome (Neural map).
- [THE STRATEGIC METACOGNITION]: When Science & Tech news mentions a complex term ending in '-ome', it invariably refers to a 'library' or 'total set' of the root concept. Do not memorize the mechanism; memorize the definition of the set.
Several references state that cellular DNA provides information to make proteins and that genes encode proteins; this is the conceptual foundation for understanding transcriptomes (which are RNA copies of genes used to make proteins).
High-yield for UPSC biology and biotechnology questions: explains how genetic information is expressed, links to topics like gene expression, regulation, phenotypes and GMO technology. Frequently appears in questions about heredity, biotechnology and molecular basis of traits. Prepare by mastering the flow from DNA to RNA to protein in simple steps and using NCERT passages (focus on examples given) to answer conceptual and application questions.
- Science , class X (NCERT 2025 ed.) > Chapter 8: Heredity > 8.2.3 How do these Traits get Expressed? > p. 131
- Science ,Class VIII . NCERT(Revised ed 2025) > Chapter 13: Our Home: Earth, a Unique Life Sustaining Planet > 13.5 What Keeps Life from Disappearing? > p. 220
Evidence mentions sequencing facilities, analytical protocols and informatics platforms used to build reference libraries—these are the tools and context in which transcriptome data are generated and analysed in bioinformatics.
Important for questions on contemporary bioinformatics projects and genomic/omics technologies (e.g., barcoding, reference libraries, large-scale sequencing). Links science policy, infrastructure and technology. Useful for essay and mains answers on biotechnology initiatives and for prelims facts about national/international sequencing efforts. Study by mapping projects to their objectives and infrastructure needs.
- Environment, Shankar IAS Acedemy .(ed 10th) > Chapter 16: Conservation Efforts > r6.r7.t. Programs pf iBOL > p. 248
Biobanks and cryogenic storage of biological samples are referenced; such sample repositories are essential sources for transcriptome studies and other omics analyses in bioinformatics.
Relevant for policy and institutional questions (sample governance, research infrastructure, ethics). Helps answer questions on how large-scale molecular studies are enabled logistically and ethically. Revise definitions, functions, and policy implications of biobanks and sample sharing frameworks.
- Environment, Shankar IAS Acedemy .(ed 10th) > Chapter 29: Environment Issues and Health Effects > 29.3.4. Greeenwashing > p. 422
Epigenome. Since they asked about the Transcriptome (the message), the next logical question is the 'Epigenome'—the chemical markers (like methylation) that tell the genome when to speak. Also, 'Metagenomics' (sequencing genetic material directly from environmental samples without culturing).
The Etymology Hack. Break the word: 'Transcript' + 'ome'. In biology, a 'transcript' is strictly the RNA copy made from DNA. Option B is the only one mentioning 'mRNA'. Option A (Enzymes) would typically end in '-ase' (like Polymerase). Option D implies a process (Mutagenesis), not a noun representing a set.
Precision Medicine & Agriculture. Transcriptomics is the key to understanding 'Gene Expression'. In Mains, link this to developing drought-resistant crops (seeing which genes turn 'on' during heat stress) or personalized cancer therapy (targeting specific over-expressed mRNAs).
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