The BIOMarkers in Atopic Dermatitis and Psoriasis (BIOMAP) Glossary: developing a lingua franca to facilitate data harmonisation and cross-cohort analyses; ; et al in British Journal of Dermatology (2021) Dear Editor, BIOMAP (BIOMarkers in Atopic dermatitis and Psoriasis) is a large European consortium aiming to advance personalised medicine for atopic dermatitis and psoriasis by identifying biomarkers ... [more ▼] Dear Editor, BIOMAP (BIOMarkers in Atopic dermatitis and Psoriasis) is a large European consortium aiming to advance personalised medicine for atopic dermatitis and psoriasis by identifying biomarkers which predict therapeutic response and disease progression. BIOMAP brings together clinicians, researchers, patient organisations and pharmaceutical industry partners and encompasses data from over 60 individual studies, including randomised clinical trials, population-based cohorts and deeply-phenotyped disease registries. The curation and harmonisation of data and bio-samples from these established studies will facilitate cross-cohort clinical and molecular analyses, increasing the potential to identify small effect estimates and to better stratify disease subtypes. This letter serves to disseminate BIOMAP's pathway to data harmonisation and will inform future collaborative research endeavours. [less ▲] Detailed reference viewed: 194 (2 UL) Confronting the catalytic dark matter encoded by sequenced genomes; ; Satagopam, Venkata et alin Nucleic Acids Research (2017), 45(20), 11495-11514 The post-genomic era has provided researchers with a deluge of protein sequences. However, a significant fraction of the proteins encoded by sequenced genomes remains without an identified function. Here ... [more ▼] The post-genomic era has provided researchers with a deluge of protein sequences. However, a significant fraction of the proteins encoded by sequenced genomes remains without an identified function. Here, we aim at determining how many enzymes of uncertain or unknown function are still present in the Saccharomyces cerevisiae and human proteomes. Using information available in the Swiss-Prot, BRENDA and KEGG databases in combination with a Hidden Markov Model-based method, we estimate that >600 yeast and 2000 human proteins (>30% of their proteins of unknown function) are enzymes whose precise function(s) remain(s) to be determined. This illustrates the impressive scale of the ‘unknown enzyme problem’. We extensively review classical biochemical as well as more recent systematic experimental and computational approaches that can be used to support enzyme function discovery research. Finally, we discuss the possible roles of the elusive catalysts in light of recent developments in the fields of enzymology and metabolism as well as the significance of the unknown enzyme problem in the context of metabolic modeling, metabolic engineering and rare disease research. [less ▲] Detailed reference viewed: 376 (14 UL) |
||