Mohammed Shahraz

HT SpaceM: A High-Throughput and Reproducible Method for Small-Molecule Single-Cell Metabolomics

HT SpaceM is a high-throughput single-cell metabolomics method that detects small molecules with high reproducibility and identifies cell-type markers and metabolic pathways in diverse cell lines.

Increasing quantitation in spatial single-cell metabolomics by using fluorescence as ground truth

The paper evaluates pixel-cell deconvolution methods in spatial single-cell metabolomics using fluorescein as ground truth, showing that weighted average outperforms linear inverse modeling and demonstrating the impact of ion suppression.

Metabolic enhancement of mammalian developmental pausing

The paper identifies lipid metabolism as a key factor in developmental pausing, showing that enhancing fatty acid oxidation extends embryo survival during mTOR inhibition.

Single-cell transcriptomics reveals immune response of intestinal cell types to viral infection

The paper uses single-cell RNA-Seq and imaging to study how intestinal cell types respond to viral infection, finding that each lineage has unique antiviral responses.

Towards a systematic map of the functional role of protein phosphorylation

The paper systematically maps the functional role of phosphorylation by analyzing phospho-deficient mutants in yeast and linking yeast phenotypes to human functional relevance.