Alan Saghatelian

This study uses CRISPR-Cas9 screening to identify microproteins regulating adipocyte proliferation and lipid metabolism in mice, revealing a novel mouse-specific microprotein involved in adipocyte differentiation.

This study shows that trifluoroacetate reduces plasma lipids and atherosclerosis in mice by activating PPAR-alpha, but also highlights its environmental and clinical relevance.

The paper identifies hundreds of novel microproteins in Mycobacterium tuberculosis using proteogenomics, revealing their potential roles in bacterial growth, virulence, and antibiotic response.

This study identifies two quorum-sensing systems in E. faecalis that regulate purine biosynthesis, enhancing its pathogenicity in macrophages and murine infections.

This paper introduces RP3, a pipeline combining proteogenomics and ribosome profiling to identify microprotein-encoding smORFs missed by Ribo-Seq alone, improving detection and confidence.

The paper identifies and characterizes small ORFs and microproteins in adipose cells, showing their metabolic relevance and potential roles in obesity and inflammation.

This study uses native E. coli as chassis to deliver transgenes, inducing persistent physiological changes in conventionally-raised hosts.

This paper outlines a community-driven initiative to create a consolidated catalog of human Ribo-seq ORFs, addressing the lack of standardized annotation for these features.

This study shows that elovl2 is essential for proper lipid composition and visual function in zebrafish, as its inactivation leads to altered lipid levels and visual behavior.

This study shows that ELOVL2 regulates aging in the mouse retina by affecting fatty acid elongation and visual function, with potential therapeutic implications for age-related eye diseases.

The paper improves smORF annotation by integrating de novo transcriptome assembly and Ribo-Seq, identifying thousands of novel translated smORFs in human cell lines and highlighting their functional potential.

PATS identifies novel peptides from existing mass spectrometry data by filtering the peptidome and using interactome data to infer protein function.