David has developed a group that applies similar integrative biology approaches as described above to human health and he has a particular interest in the role of microRNAs in regulating innate immunity networks. David's group will also continue to develop novel computational analysis tools to facilitate this research including new network analysis and visualization tools. David will also continue to lead the development of InnateDB (innatedb.com), a computational analysis platform for studying innate immune networks, which is used world-wide by thousands of users. Recently, David has also expanded his interest in network biology into the cancer signaling area, and he leads the computational biology aspects of €12 million European Commission funded project called PRIMES, which is investigating how to model and subsequently therapeutically target protein interaction networks in cancer. 

For more details on David’s research plans at SAHMRI, read his recent interview for EMBL Australia.

David has an international track record in applying computational and experimental systems biology approaches to investigate the immune system. Following a PhD in computational immunology and a postdoctoral position in population immunogenomics at Trinity College Dublin, he moved to Vancouver (SFU & UBC) where he was the lead computational biologist on a Grand Challenges in Global Health Initiative project investigating how to modulate the innate immune response to several pathogens of major importance to global health. He was also awarded a Michael Smith Foundation for Health Research postdoctoral fellowship during this time.

In 2009, he was appointed as a “Vision” Group Leader in Computational Biology at the Irish agriculture and food research agency (Teagasc), where his group developed computational and experimental approaches (particularly NGS based) to investigate the immune response to several bovine infectious diseases. Within 3 years here, he built up a group of eight people and attracted more than €1.5 million in funding. He also continued to collaborate extensively in the area of human infectious disease.

In 2011, he was awarded the Teagasc Excellence in Research Award.

In 2014, he fulfilled his wish to return full-time to human translational research and was appointed as EMBL Australia Group Leader in the Infection and Immunity Theme at South Australian Health and Medical Research (SAHMRI). He also holds a joint faculty appointment as Associate Professor at the School of Medicine, Flinders University.

At SAHMRI, David’s group is a multi-disciplinary group that is equally divided between bioinformatics and experimental biology. On the wet-lab side his group employs in vitro and in vivo experimental and clinical models coupled with systems biology approaches to investigate the interplay between the microbiome, vaccines and the immune system. On the bioinformatics side his group leads the development of InnateDB.com, an internationally recognised systems biology platform for innate immunity networks (10,000 users worldwide).

David also leads the computational biology aspects of €12 million European Commission funded project called PRIMES, which is investigating how to model and subsequently therapeutically target protein interaction networks in cancer.

Authors
Title
Published In

Muetze T, Goenawan IH, Wiencko HL, Bernal-Llinares M, Bryan K, Lynn DJ. 

Contextual Hub Analysis Tool (CHAT): A Cytoscape app for identifying contextually relevant hubs in biological networks.

F1000 Research 2016 (In press).

Goenawan IH, Bryan K, Lynn DJ. (Corresponding Author)

DyNet: visualization and analysis of dynamic molecular interaction networks.

Bioinformatics. 2016 Sep 1;32(17):2713-5. doi: 10.1093/bioinformatics/btw187. Epub 2016 May 3.

Bryan K, Jarboui MA, Raso C, Bernal-Llinares M, McCann B, Rauch J, Boldt K, Lynn DJ. (Corresponding Author)

HiQuant: Rapid Postquantification Analysis of Large-Scale MS-Generated Proteomics Data.

J Proteome Res. 2016 Jun 3;15(6):2072-9. doi: 10.1021/acs.jproteome.5b01008. Epub 2016 May 16.

Blohmke CJ, Darton TC, Jones C, Suarez NM, Waddington CS, Angus B, Zhou L, Hill J, Clare S, Kane L, Mukhopadhyay S, Schreiber F,Duque-Correa MA, Wright JC, Roumeliotis TI, Yu L, Choudhary JS, Mejias A, Ramilo O, Shanyinde M, Sztein MB, Kingsley RA, Lockhart S,Levine MM, Lynn DJ, Dougan G, Pollard AJ.

Interferon-driven alterations of the host's amino acid metabolism in the pathogenesis of typhoid fever.

J Exp Med. 2016 May 30;213(6):1061-77. doi: 10.1084/jem.20151025. Epub 2016 May 23.

Charitou T, Bryan K, Lynn DJ. (Corresponding Author)

Using biological networks to integrate, visualize and analyze genomics data.

Genet Sel Evol. 2016 Mar 31;48:27. doi: 10.1186/s12711-016-0205-1.

Richardson IW, Berry DP, Wiencko HL, Higgins IM, More SJ, McClure J, Lynn DJ, Bradley DG.

A genome-wide association study for genetic susceptibility to Mycobacterium bovis infection in dairy cattle identifies a susceptibility QTL on chromosome 23.

Genet Sel Evol. 2016 Mar 9;48:19. doi: 10.1186/s12711-016-0197-x.

Foley C, Chapwanya A, Callanan JJ, Whiston R, Miranda-CasoLuengo R, Lu J, Meijer WG, Lynn DJ, O' Farrelly C, Meade KG.

Integrated analysis of the local and systemic changes preceding the development of post-partum cytological endometritis.

BMC Genomics. 2015 Oct 19;16:811. doi: 10.1186/s12864-015-1967-5.

Frias S, Bryan K, Brinkman FS, Lynn DJ.(Corresponding Author)

CerebralWeb: a Cytoscape.js plug-in to visualize networks stratified by subcellular localization.

Database (Oxford). 2015 May 7;2015:bav041. doi: 10.1093/database/bav041. Print 2015.

Vegh P, Foroushani ABK, Magee DA, McCabe MS, Browne JA, Nalpas NC, Conlon KM, Gordon SV, Bradley DG, MacHugh DE, Lynn DJ (Corresponding Author).

Profiling microRNA expression in bovine alveolar macrophages using a next-generation sequencing based approach.

Tuberculosis (Edinb). 2015 Jan;95(1):60-7.

Lawless N, Reinhardt TA, Bryan K, Baker M, Pesch B, Zimmerman D, Zuelke K, Sonstegard T, O’Farrelly C, Lippolis JD, Lynn DJ (Corresponding Author).

MicroRNA regulation of bovine monocyte inflammatory and metabolic networks in an in vivo infection model.

G3 (Bethesda). 2014 Jan 27;4(6):957-71. doi: 10.1534/g3.113.009936.

Fatima A, Lynn DJ (Corresponding Author), O’Boyle P, Seoighe C, Morris D.

The miRNAome of the postpartum dairy cow liver under negative energy balance.

BMC Genomics. 2014 Apr 12;15:279. doi: 10.1186/1471-2164-15-279.

Foroushani A, Brinkman FSL, Lynn DJ (Corresponding Author).

Pathway-GPS and SIGORA: Identifying relevant pathways based on the over-representation of their gene-pair signatures.

PeerJ. 2013 Dec 19;1:e229. doi: 10.7717/peerj.229. eCollection 2013.

Meredith BK, Berry DP, Kearney JF, Finlay EK, Fahey AG, Bradley DG, Lynn DJ (Corresponding Author).

A Genome-wide association study for somatic cell score using the illumina high-density bovine BeadChip identifies several novel QTL potentially related to mastitis susceptibility.

Front Genet. 2013 Nov 6;4:229. doi: 10.3389/fgene.2013.00229. eCollection 2013.

Lawless N, Foroushani AK, McCabe M, O’Farrelly C, Lynn DJ (Corresponding Author).

Next generation sequencing reveals the expression of a unique miRNA profile in response to a Gram-positive bacterial infection.

PLoS One. 2013;8(3):e57543. doi: 10.1371/journal.pone.0057543. Epub 2013 Mar 5.

Achtman AH, Pilat S, Law CW, Lynn DJ, Janot L, Mayer ML, Ma S, Kindrachuk J, Finlay BB, Brinkman FSL, Smyth GK, Hancock REW, Schofield L.

Effective adjunctive therapy by an innate defense regulatory Peptide in a preclinical model of severe malaria.

Sci Transl Med. 2012 May 23;4(135):135ra64. doi: 10.1126/scitranslmed.3003515.

Orchard S, Kerrien S, Abbani S, Aranda B, Bhate J, Bidwell S, Bridge A, Briganti L, Brinkman FS, Cesareni G, Chatr-aryamontri A, Chautard E, Chen C, Dumousseau M, Goll J, Hancock RE, Hannick LI, Jurisica I, Khadake J, Lynn DJ, Mahadevan U, Perfetto L, Raghunath A, Ricard-Blum S, Roechert B, Salwinski L, Stümpflen V, Tyers M, Uetz P, Xenarios I, Hermjakob H.

Protein Interaction Data Curation - The International Molecular Exchange Consortium (IMEx).

Nat Methods. 2012 Apr;9(4):345-50. doi: 10.1038/nmeth.1931.

Aranda B, Blankenburg H, Kerrien S, Brinkman FS, Ceol A, Chautard E, Dana JM, De Las Rivas J, Dumousseau M, Galeota E, Gaulton A, Goll J, Hancock RE, Isserlin R, Jimenez RC, Kerssemakers J, Khadake J, Lynn DJ, Michaut M, O'Kelly G, Ono K, Orchard S, Prieto C, Razick S, Rigina O, Salwinski L, Simonovic M, Velankar S, Winter A, Wu G, Bader GD, Cesareni G, Donaldson IM, Eisenberg D, Kleywegt GJ, Overington J, Ricard-Blum S, Tyers M, Albrecht M, Hermjakob H.

PSICQUIC and PSISCORE: accessing and scoring molecular interactions.

Nat Methods. 2011 Jun 29;8(7):528-9. doi: 10.1038/nmeth.1637.

The Bovine HapMap Consortium.

Genome wide survey of SNP variation uncovers the genetic structure of cattle breeds.

Science. 2009 Apr 24;324(5926):528-32. doi: 10.1126/science.1167936.