Slavov lab | Quantitative Biology
Seeking  principles
in the coordination among protein synthesis, metabolism, cell growth and differentiation
Single-cell proteomics

Single-Cell ProtEomics by Mass-Spec: SCoPE-MS, SCoPE2, pSCoPE, plexDIA

Quantifying proteins, their modifications, and dynamics in single cells with mass spectrometry

Single Cell Proteomics Center

Single-cell MS   |   Videos

Perspectives   |   Data

Single-cell proteomics

SCP meeting

Ribosomes & Protein Synthesis

Indirect evidence gathered over decades has suggested the existence of ribosomes with distinct protein composition and translational specificity in unperturbed wildtype cells. We found direct evidence for such ribosome heterogeneity in yeast and mouse stem cells, and correlative evidence for its physiological impact on cell growth

The stoichiometry among ribosomal proteins (RP) correlates to the growth rate

The RP stoichiometry depends on the growth conditions

Metabolism & Aerobic Glycolysis

We found that exponential growth at a constant rate can represent not a single metabolic/physiological state but a continuum of changing states and that aerobic glycolysis can reduce the energy demands associated with respiratory metabolism and stress survival.

Increasing stress sensitivity and aerobic glycolysis during exponential growth

Parallel declines in respiration and in mitochondrial NADPH-producing enzymes

Global remodeling of metabolism during nine doublings at a constant rate

Cell Growth & Division

We found that most genes annotated to the cell division cycle are expressed periodically even in nondividing cells as part of a cell growth cycle

Connecting single-cell gene-expression dynamics to population-average gene-expression

Abstract   |   PDF   |   SI   |   Data Web

Mysterious oscillations

Statistical Inference


Quantifying homologous proteins and proteoforms

Abstract   |   PDF  |  


Convex Structured Total Least Squares

Leveraging independent variables error

Abstract   |   PDF


Inference of networks with unobserved variables

Efficient use of sparsity constraints

Abstract   |   PDF