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Bogumil Kaczkowski

Researcher at University of Copenhagen

Publications -  37
Citations -  3171

Bogumil Kaczkowski is an academic researcher from University of Copenhagen. The author has contributed to research in topics: Gene expression profiling & Regulation of gene expression. The author has an hindex of 22, co-authored 37 publications receiving 2731 citations. Previous affiliations of Bogumil Kaczkowski include Centre for Life & Technical University of Denmark.

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A promoter-level mammalian expression atlas

Alistair R. R. Forrest, +280 more
- 27 Mar 2014 - 
TL;DR: For example, the authors mapped transcription start sites (TSSs) and their usage in human and mouse primary cells, cell lines and tissues to produce a comprehensive overview of mammalian gene expression across the human body.
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MicroRNAs and potential target interactions in psoriasis

TL;DR: The data indicate several novel important associations for miRNAs in psoriasis and in particular the miR-221/2-TIMP3 target interaction could among others play a role in the psoriatic skin pathogenesis.
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The Rectal Cancer microRNAome – microRNA Expression in Rectal Cancer and Matched Normal Mucosa

TL;DR: This comprehensive analysis of the rectal cancer miRNAome uncovered novel miRNAs and pathways associated withrectal cancer, and the identification and validation of miR-135b may help to identify novel molecular targets and pathways for therapeutic exploitation.
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Functional annotation of human long noncoding RNAs via molecular phenotyping

Jordan A. Ramilowski, +117 more
- 27 Jul 2020 - 
TL;DR: The largest-to-date lncRNA knockdown data set with molecular phenotyping is disseminated for further exploration and functional roles for ZNF213-AS1 and lnc-KHDC3L-2 are highlighted.
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Global microRNA analysis of the NCI-60 cancer cell panel

TL;DR: By studying the expression profiles of 955 miRNAs in the NCI-60 cancer cell lines and applying an LNA-enhanced microarray platform, this work found numerous drug–miRNAs pairs, for which the miRNA expression and drug sensitivity profiles were highly correlated and thus represent potential candidates for further investigation of drug resistance and sensitivity mechanisms.