Dr Martin Hemberg, PhD | CDF Group Leader

Hemberg, Martin

martin.hemberg@sanger.ac.uk
Hemberg Group

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

  • 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

  • Supervised clustering for single-cell analysis.

    Lee JTH and Hemberg M

    Nature methods 2019;16;10;965-966

    PUBMED: 31501544; DOI: 10.1038/s41592-019-0534-4

  • The Malaria Cell Atlas: Single parasite transcriptomes across the complete Plasmodium life cycle.

    Howick VM, Russell AJC, Andrews T, Heaton H, Reid AJ et al.

    Science (New York, N.Y.) 2019;365;6455

    PUBMED: 31439762; DOI: 10.1126/science.aaw2619

  • M3Drop: dropout-based feature selection for scRNASeq.

    Andrews TS and Hemberg M

    Bioinformatics (Oxford, England) 2019;35;16;2865-2867

    PUBMED: 30590489; PMC: 6691329; DOI: 10.1093/bioinformatics/bty1044; URL:

  • Challenges in unsupervised clustering of single-cell RNA-seq data.

    Kiselev VY, Andrews TS and Hemberg M

    Nature reviews. Genetics 2019;20;5;273-282

    PUBMED: 30617341; DOI: 10.1038/s41576-018-0088-9

  • Simulation-based benchmarking of isoform quantification in single-cell RNA-seq.

    Westoby J, Herrera MS, Ferguson-Smith AC and Hemberg M

    Genome biology 2018;19;1;191

    PUBMED: 30404663; DOI: 10.1186/s13059-018-1571-5

  • Noncanonical secondary structures arising from non-B DNA motifs are determinants of mutagenesis.

    Georgakopoulos-Soares I, Morganella S, Jain N, Hemberg M and Nik-Zainal S

    Genome research 2018;28;9;1264-1271

    PUBMED: 30104284; PMC: 6120622; DOI: 10.1101/gr.231688.117

  • Single-cell genomics.

    Hemberg M

    Briefings in functional genomics 2018;17;4;207-208

    PUBMED: 30060035; DOI: 10.1093/bfgp/ely025

  • scmap: projection of single-cell RNA-seq data across data sets.

    Kiselev VY, Yiu A and Hemberg M

    Nature methods 2018;15;5;359-362

    PUBMED: 29608555; DOI: 10.1038/nmeth.4644

  • Placentation defects are highly prevalent in embryonic lethal mouse mutants.

    Perez-Garcia V, Fineberg E, Wilson R, Murray A, Mazzeo CI et al.

    Nature 2018;555;7697;463-468

    PUBMED: 29539633; PMC: 5866719; DOI: 10.1038/nature26002

  • Single-cell transcriptomics reveals a new dynamical function of transcription factors during embryonic hematopoiesis.

    Bergiers I, Andrews T, Vargel Bölükbaşı Ö, Buness A, Janosz E et al.

    eLife 2018;7

    PUBMED: 29555020; PMC: 5860872; DOI: 10.7554/eLife.29312

  • Genomic positional conservation identifies topological anchor point RNAs linked to developmental loci.

    Amaral PP, Leonardi T, Han N, Viré E, Gascoigne DK et al.

    Genome biology 2018;19;1;32

    PUBMED: 29540241; DOI: 10.1186/s13059-018-1405-5

  • False signals induced by single-cell imputation.

    Andrews TS and Hemberg M

    F1000Research 2018;7;1740

    PUBMED: 30906525; PMC: 6415334; DOI: 10.12688/f1000research.16613.2

  • 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

  • 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

Hemberg, Martin

Related Programmes, Associate Research Programmes and Facilities

Martin's Links
Martin's Timeline
2014

Joined the Sanger Institute as CDF Group Leader

2007

PhD Bioengineering, Imperial College London, UK

Started work as post-doc at Boston Children's Hospital

2004

MSc Biomolecular Chemistry, Imperial College London, UK

2003

BSc Economics, University of Gothenburg, Sweden

Enrolled as graduate student at Imperial College London

2001

MSc Engineering Physics, Chalmers University, Gothenburg, Sweden

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