Hemberg, Martin

martin.hemberg@sanger.ac.uk

Martin Hemberg is a Career Development Fellow Group Leader and his research interests are centered around quantitative models of gene expression and gene regulation. He is particularly interested in stochastic models and analysis of single-cell data. Another line of research involves analyzing the role of non-coding transcripts and sequences.

In addition to working at the Wellcome Sanger Institute, Martin is also an associate faculty member at the Wellcome Trust/CRUK Gurdon Institute.

Publications

Selected

Quantitative profiling of peptides from RNAs classified as noncoding.

Prabakaran S, Hemberg M, Chauhan R, Winter D, Tweedie-Cullen RY et al.

Nature communications 2014;5;5429

PUBMED: 25403355; PMC: 4416701; DOI: 10.1038/ncomms6429
Widespread transcription at neuronal activity-regulated enhancers.

Kim TK, Hemberg M, Gray JM, Costa AM, Bear DM et al.

Nature 2010;465;7295;182-7

PUBMED: 20393465; PMC: 3020079; DOI: 10.1038/nature09033
Transcriptome-wide noise controls lineage choice in mammalian progenitor cells.

Chang HH, Hemberg M, Barahona M, Ingber DE and Huang S

Nature 2008;453;7194;544-7

PUBMED: 18497826; PMC: 5546414; DOI: 10.1038/nature06965
Perfect sampling of the master equation for gene regulatory networks.

Hemberg M and Barahona M

Biophysical journal 2007;93;2;401-10

PUBMED: 17468171; PMC: 1896223; DOI: 10.1529/biophysj.106.099390
Stochastic kinetics of viral capsid assembly based on detailed protein structures.

Hemberg M, Yaliraki SN and Barahona M

Biophysical journal 2006;90;9;3029-42

PUBMED: 16473916; PMC: 1432130; DOI: 10.1529/biophysj.105.076737