Introduction: Proteomics, metabolomics and functionomics applications MCQs With Answer is designed for M.Pharm students seeking a focused, application-oriented review of modern omics techniques in pharmacology. This quiz collection emphasizes real-world applications: drug target discovery, biomarker identification, ADME/Tox profiling, pathway analysis, and systems-level functional interpretation. Questions span analytical platforms (LC-MS/MS, NMR, GC-MS), quantitative strategies (label-free, SILAC, iTRAQ, MRM), data processing (DIA vs DDA, FDR, normalization), and integrative approaches (fluxomics, pharmacometabolomics, interactomics). Each MCQ reinforces conceptual understanding and practical decision-making needed for experimental design and interpretation in research and regulatory contexts.
Q1. Which mass spectrometry acquisition strategy allows reproducible, comprehensive quantitation by fragmenting all precursor ions within predefined m/z windows, making it useful for large-scale proteomics?
- Data-dependent acquisition (DDA)
- Data-independent acquisition (DIA)
- Selected reaction monitoring (SRM)
- Top-down MS
Correct Answer: Data-independent acquisition (DIA)
Q2. In a SILAC experiment for quantitative proteomics, what is the primary mechanism that enables relative quantification between experimental conditions?
- Chemical labeling of peptides after digestion
- Metabolic incorporation of heavy isotopic amino acids into proteins
- Label-free spectral counting
- Post-translational modification enrichment
Correct Answer: Metabolic incorporation of heavy isotopic amino acids into proteins
Q3. Which technique is most appropriate for high-sensitivity, targeted quantitation of a defined set of drug metabolites in plasma during ADME studies?
- Untargeted LC-MS metabolomics
- GC-MS with electron ionization for volatile profiling
- Triple quadrupole LC-MS using MRM/SRM transitions
- NMR spectroscopy for structural elucidation
Correct Answer: Triple quadrupole LC-MS using MRM/SRM transitions
Q4. In metabolomics, what is the key advantage of NMR over mass spectrometry for certain applications?
- Higher sensitivity for low-abundance metabolites
- Absolute quantitation without extensive calibration standards
- Better separation of isomeric compounds without derivatization
- Higher throughput for thousands of metabolites
Correct Answer: Absolute quantitation without extensive calibration standards
Q5. Which bioinformatic approach is commonly used to reduce false positives when identifying peptides from MS/MS spectra?
- Principal component analysis (PCA)
- Target-decoy database search to estimate FDR
- Hierarchical clustering of spectral counts
- Metabolite set enrichment analysis (MSEA)
Correct Answer: Target-decoy database search to estimate FDR
Q6. Which sample preparation strategy improves detection of membrane proteins and hydrophobic drug targets for proteomic analysis?
- Soluble fraction enrichment by mild buffer wash
- Use of strong ionic detergents with subsequent cleanup (e.g., SDS removal or SP3)
- Direct trypsin digestion of intact cells without lysis
- Size-exclusion chromatography only
Correct Answer: Use of strong ionic detergents with subsequent cleanup (e.g., SDS removal or SP3)
Q7. Pharmacometabolomics aims to predict drug response by analyzing baseline metabolic profiles. Which statistical method is most appropriate to reduce dimensionality and visualize group separation before modeling?
- Multiple t-tests without correction
- Principal component analysis (PCA)
- Kaplan–Meier survival analysis
- BLAST sequence alignment
Correct Answer: Principal component analysis (PCA)
Q8. Which label-based quantitative proteomics method allows multiplexing of several samples in one LC-MS run by tagging peptides with isobaric labels?
- SILAC
- iTRAQ/TMT
- Label-free spectral counting
- MALDI imaging
Correct Answer: iTRAQ/TMT
Q9. In metabolomics data quality control, which practice helps monitor instrument performance and correct batch effects?
- Using different extraction solvents for each batch
- Including pooled QC samples and analyzing them periodically
- Only analyzing case samples and ignoring controls
- Randomly shuffling sample identities post-analysis
Correct Answer: Including pooled QC samples and analyzing them periodically
Q10. Functionomics often integrates omics data to infer biological function. Which network analysis metric helps identify highly connected hub proteins that may represent potential drug targets?
- Retention time index
- Degree centrality
- Mass-to-charge ratio
- Signal-to-noise ratio
Correct Answer: Degree centrality
Q11. Which metabolite identification approach provides structural information through fragmentation patterns and is essential when authentic standards are unavailable?
- Retention time matching only
- MS/MS spectral interpretation and library matching
- UV absorbance profiling
- Protein sequence alignment
Correct Answer: MS/MS spectral interpretation and library matching
Q12. For phosphoproteomics aimed at studying drug effects on signaling, which enrichment method is commonly used to isolate phosphorylated peptides prior to LC-MS?
- Hydrophobic interaction chromatography
- Immobilized metal affinity chromatography (IMAC) or TiO2 enrichment
- Size-exclusion purification
- Dialysis against PBS
Correct Answer: Immobilized metal affinity chromatography (IMAC) or TiO2 enrichment
Q13. In fluxomics, which experimental approach traces metabolic pathway activity by following incorporation of labeled isotopes (e.g., 13C) into metabolites?
- Untargeted metabolite fingerprinting
- Stable isotope-resolved metabolomics (SIRM) or isotope tracing
- Northern blot analysis
- Western blot quantification of enzymes
Correct Answer: Stable isotope-resolved metabolomics (SIRM) or isotope tracing
Q14. Which public database is especially useful for linking metabolites and metabolic pathways relevant to drug metabolism and toxicity studies?
- Protein Data Bank (PDB)
- Human Metabolome Database (HMDB) and KEGG pathway resources
- GenBank nucleotide archive
- UniProt protein annotation only
Correct Answer: Human Metabolome Database (HMDB) and KEGG pathway resources
Q15. Data-independent acquisition coupled with spectral libraries enables peptide-centric quantitation. What is a major limitation if spectral libraries are incomplete for a given organism or condition?
- Improved discovery of novel proteoforms
- Reduced ability to identify and quantify peptides not represented in the library
- Elimination of the need for chromatographic separation
- Automatic correction of post-translational modifications
Correct Answer: Reduced ability to identify and quantify peptides not represented in the library
Q16. In untargeted metabolomics, which normalization approach helps account for differences in sample concentration and analytical variation when comparing plasma samples?
- Normalization to total ion current (TIC) or probabilistic quotient normalization
- Normalization by random noise addition
- Using unnormalized raw intensities only
- Normalization by DNA content
Correct Answer: Normalization to total ion current (TIC) or probabilistic quotient normalization
Q17. Which proteomic strategy is best suited to directly identify intact proteoforms including combinations of PTMs and sequence variants?
- Bottom-up proteomics with tryptic peptides
- Top-down proteomics analyzing intact proteins by high-resolution MS
- Shotgun metabolomics
- Single-cell RNA sequencing
Correct Answer: Top-down proteomics analyzing intact proteins by high-resolution MS
Q18. When integrating proteomics and metabolomics for mechanism-of-action studies, what is a key analytical step to link molecular changes to perturbed pathways?
- Only report lists of altered molecules without context
- Pathway enrichment analysis and mapping changes onto metabolic and signaling networks
- Rely solely on fold-change thresholds without statistical testing
- Exclude post-translational modifications from consideration
Correct Answer: Pathway enrichment analysis and mapping changes onto metabolic and signaling networks
Q19. Which technique enables spatially resolved proteomics or metabolomics in tissue sections to study drug distribution and local biochemical effects?
- Shotgun LC-MS of whole tissue homogenates exclusively
- MALDI imaging mass spectrometry or LC-MS imaging approaches
- Sanger sequencing of tissue RNA
- Flow cytometry of dissociated cells only
Correct Answer: MALDI imaging mass spectrometry or LC-MS imaging approaches
Q20. In designing an omics experiment to discover predictive biomarkers for adverse drug reactions, which experimental principle is most critical to ensure valid downstream inference?
- Small sample size with no replication is acceptable
- Careful cohort selection, adequate sample size, randomization, and independent validation
- Omit quality control and batch randomization to save costs
- Only analyze cases and ignore confounding clinical variables
Correct Answer: Careful cohort selection, adequate sample size, randomization, and independent validation

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