# Large Scale Quantitative Proteomics to detect Antigenic changes in a Population Model for autoimmunity

**URL:** <https://scientistsolutions.discourse.group/t/large-scale-quantitative-proteomics-to-detect-antigenic-changes-in-a-population-model-for-autoimmunity/956>\
**Category:** Proteomics\
**Created:** [March 22, 2025, 8:02pm UTC](https://scientistsolutions.discourse.group/t/large-scale-quantitative-proteomics-to-detect-antigenic-changes-in-a-population-model-for-autoimmunity/956 "2025-03-22T20:02:21Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![ARGERINE](https://avatars.discourse-cdn.com/v4/letter/a/8491ac/32.png) [@ARGERINE](https://scientistsolutions.discourse.group/u/ARGERINE)\
**Post date:** [March 22, 2025, 8:02pm UTC](https://scientistsolutions.discourse.group/t/large-scale-quantitative-proteomics-to-detect-antigenic-changes-in-a-population-model-for-autoimmunity/956/1 "2025-03-22T20:02:22Z")

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We are planning a large-scale proteomics experiment and trying to decide between label-free quantification (LFQ) and isobaric labeling (like TMT or iTRAQ). What are the key advantages and limitations of each approach in terms of sensitivity, accuracy, and reproducibility in terms of differential protein expression analysis?