Thomas Litman
  • Blegdamsvej 3B, 2200 København N

  • Blegdamsvej 3B

    2200 København N

  • Source: Scopus
1995 …2024

Research activity per year

Personal profile

Short presentation

Hi there! So, you'd like to know who I am? Well, I am an explorer.
That is: I like to travel through the data jungle, which is a wild, wonderful and fascinating place! 
But sometimes you can't see the jungle for all the trees.
Which is why we need some filtering (removing the noise from the signal), sorting (applying a little statistics, just remember that relevance is more important than significance :-), and visualization (if what you see is what you get, then if you don't see it you don't get it).
This is necessary to turn the data into information, and eventually: useful knowledge.
Which is the purpose of bioinformatics (which is what I do).
Bioinformatics is a tool (or rather: a whole toolbox) for analysis of large data, such as those generated by the -omics technologies, of which I will mention just a few:
Genomics (DNA), transcriptomics (mRNA), proteomics (proteins), epigenomics (e.g. DNA methylation, histone modification, and the whole world of non-protein coding RNA), metabolomics (including lipidomics), glycomics, microbiomics (bacteria in your gut, airways and skin), interactomics, and integromics (putting it all together in a more or less holistic view).

Wanna come along and enter the jungle?

Primary fields of research

  • Medical bioinformatics
  • Inflammatory skin diseases (atopic dermatitis, psoriasis, CTCL, other)
  • Multidrug resistance (in cancer)
  • Transcriptomics (microarray and NGS, mainly RNA-seq)
  • Metabolomics (including lipidomics)
  • Microbiome analysis (gut, skin)
  • Proteomics (MS)
  • "Skinomics"
  • Multi-omics (integrative analysis)
  • MicroRNA biology
  • Molecular biomarkers
  • MDR (P-glycoprotein)
  • MXR (ABCG2, BCRP)
  • Data visualization

Current research

Applied bioinformatics, applying most of the -omics methods mentioned above, but also structural bioinformatics and translational research (cellular models, 3-D models, in vivo models, clinical data).

Inflammatory skin diseases, in particular characterizing the endotypes of atopic dermatitis, looking for biomarkers of diagnostic, prognostic, and predictive value.

 

Teaching

Whenever I have the chance, I like to teach applied bioinformatics, so pop by for a free guided tour through the data jungle .-)

I am happy to supervise bachelor, masters and PhD students.

Possible conflicts of interest

I am funded by LEO Pharma.

Knowledge of languages

Danish (fluent)

English (fluent)

Polish (fluent)

German (tourist level)

French (tourist level)

Introductory remarks on publicationslist

For reprints, just write me, or download directly, if available.

Education/Academic qualification

Multidrug resistance in cancer, PhD, University of Copenhagen

1 Aug 19931 Oct 1996

Award Date: 1 Oct 1996

External positions

Principal Scientist, LEO Pharma A/S (Biz)

1 Sep 2011 → …

Keywords

  • Faculty of Health and Medical Sciences
  • multidrug resistance
  • cancer research
  • bioinformatics
  • ABC transporters
  • microarrays
  • next-generation-sequencing
  • microRNA
  • Inflammation
  • Dermatology
  • Atopic Dermatitis
  • Psoriasis
  • Cutaneous T cell lymphoma

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or