Papers
4
Total Citations
356
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4
About
Yiran Liang is a pioneering researcher in the field of proteomics, with a particular focus on developing innovative methodologies for spatially resolved and low-input protein analysis. Their work addresses one of the most pressing challenges in modern biological research: achieving high-sensitivity proteome profiling from extremely small sample quantities, including individual mammalian cells and microdissected tissue sections. Liang's most celebrated contribution, "Spatially Resolved Proteome Mapping of Laser Capture Microdissected Tissue" (141 citations), revolutionized how scientists map protein expression within tissue samples by integrating automated nanodroplet sample transfer with mass spectrometry workflows. This breakthrough enabled spatial precision previously unattainable with conventional approaches. Complementing this work, their fully automated sample processing pipeline (125 citations) further democratized single-cell and low-input proteomics by streamlining workflows that previously required complex custom instrumentation. Beyond high-end platforms, Liang has also made proteomics more accessible through practical innovations, including adapting low-cost commercial pipetting robots for nanoliter handling — demonstrating a commitment to open-science principles. With research spanning automated fluidics, nanoscale sample preparation, and tissue proteomics, Liang has made substantial contributions that continue to empower researchers studying cellular heterogeneity and disease biology.
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