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Single-Cell Proteomics & Nano-MS Training | Low-Input Proteomics Concepts

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Proteomics, Interactomics & Structural MS >> Single-Cell Proteomics & Nano-MS Training | Low-Input Proteomics Concepts

Single-Cell Proteomics and Nano-MS — Hands-on

Develop a conceptual understanding of single-cell proteomics and nano-scale mass spectrometry workflows. This module focuses on the challenges of ultra-low input samples, design ideas for nano-LC–MS experiments, carrier and multiplexing concepts, and how to interpret single-cell level proteome readouts for heterogeneity and cell state analysis.

Single-Cell Proteomics and Nano-MS
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Session 1
Fee: Rs 8800
Foundations of Single-Cell Proteomics
  • Why single-cell proteomics and what makes it different
  • cellular heterogeneity concepts population averages vs single cells comparison with bulk proteomics thinking
  • Sensitivity and dynamic range challenges at concept level
  • few picogram proteome ideas ion statistics and sampling limitations missing values and stochasticity awareness
  • Overview of main experimental families for single-cell proteomics (conceptual)
  • label free low input concepts carrier based multiplexing ideas integration with single-cell biology questions
Session 2
Fee: Rs 11800
Sample Preparation & Nano-Scale Handling (Concepts)
  • Concepts for isolating and dispensing single cells or few cells
  • sorting and picking ideas minimizing losses and contamination plate and droplet style handling concepts
  • Lysis, digestion and clean up thinking for ultra-low inputs
  • small volume reaction ideas surface adsorption awareness one pot workflow concepts
  • Carrier and reference channel concepts for multiplexed designs
  • role of carrier proteome ideas trade off between identification and ratio compression layout of reference and single-cell channels (conceptual)
Session 3
Fee: Rs 14800
Nano-LC–MS Workflows & Quantitative Thinking
  • Nano-flow separation and injection concepts for single-cell work
  • low flow benefits and challenges carryover and gradient ideas batch organization thinking
  • Acquisition strategy concepts for low input samples
  • balance between depth and duty cycle cycle time and number of cells per run identification versus consistency ideas
  • Quantitative interpretation thinking for single-cell proteomics data
  • normalization and batch effect concepts handling missing values at high level cell type and state clustering ideas
Session 4
Fee: Rs 18800
Mini Capstone: Single-Cell Proteomics Study Design
  • Conceptual study design for a simple single-cell proteomics experiment
  • Theory + Practical (planning oriented)
  • From biological question to layout of plates, batches and carriers (idea level)
  • number of cells and conditions thinking controls and reference strategies simple power and effect size awareness
  • Mini capstone deliverables (concept and report focused)
  • study design and batch map outline expected data structure and QC checklist short narrative of biological interpretation plan


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