bioRxiv Science⌕ Search

Biology subjects

Dirks, C.

Publications and source records attributed to Dirks, C..

3 recordsLinked to original sources

A large-scale sORF screen identifies putative microproteins and provides insights into their interaction partners, localisation and function

The human genome contains thousands of potentially coding short open reading frames (sORFs). A growing set of microproteins translated from these sORFs are known to have important cellular functions. However, the majority remains uncharacterised. Thus, larger screens to find functional microproteins have become more vital. Here, we performed a high-throughput CRISPR/Cas9 knock-out screen with a customised library of 11,776 sORFs, curated from literature and databases to identify microproteins essential for cancer cell line growth. 16/17 tested candidates displayed a reproducible knockout phenotype. We selected our top six hits, consisting of 11 to 63 amino acids. Various of these candidates localised to distinct subcellular compartments and the majority showed specific interaction partners. Endogenous tagging demonstrated translation of an sORF in the CENPBD2P pseudogene that bears no resemblance to the CENPBD2P name-giving CENPB DNA binding domains. For two candidates, uORFs in the DSE and NUTF2 genes, the microprotein supplied in trans ameliorated the growth defect of the respective knock-out. RNA-seq analysis revealed however that gene expression changes in the knock-out could only partially be rescued. Overall, we identified various putative microproteins and a microprotein-producing pseudogene that might be involved in cancer cell growth, but also illustrate the limitations and caveats of sORF functional screening and characterisation.

molecular biology↗

Identification and evaluation of small-molecule inhibitors against the dNTPase SAMHD1 via a comprehensive screening funnel

Sterile alpha motif and histidine-aspartic acid domain containing protein-1 (SAMHD1) is a deoxynucleoside triphosphate (dNTP) triphosphohydrolase central to cellular nucleotide pool homeostasis. Recent literature has also demonstrated how SAMHD1 can detoxify chemotherapy metabolites thereby controlling their clinical responses. To further understand SAMHD1 biology and to investigate the potential of targeting this enzyme as a neoadjuvant to existing chemotherapies we set out to discover selective small molecule-based inhibitors of SAMHD1. Here we report a discovery pipeline encompassing a biochemical screening campaign and a set of complementary biochemical, biophysical, and cell-based readouts for further characterisation of the screen output. The identified hit compound TH6342 and its analogues, accompanied by their inactive negative control analogue TH7126, demonstrated specific, low M potency in inhibiting the hydrolysis of both natural substrates and nucleotide analogue therapeutics, shown using complementary enzyme-coupled and direct enzymatic activity assays. Their mode of inhibition was subsequently detailed by coupling kinetic studies with thermal shift assays, where TH6342 and analogues were shown to engage with pre-tetrameric SAMHD1 and deter the oligomerisation and allosteric activation of SAMHD1 without occupying nucleotide binding pockets. We further outline the development and application of multiple cellular assays for assessing cellular target engagement and associated functional effects, including CETSA and an in-cell dNTP hydrolase activity assay, which highlighted future optimisation strategies of this chemotype. In summary, with a novel mode of inhibition, TH6342 and analogues broaden the set of tool compounds available in deciphering SAMHD1 enzymology and functions, and furthermore, the discovery pipeline reported herein represents a thorough framework for future SAMHD1 inhibitor development. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=96 SRC="FIGDIR/small/524275v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@dc706forg.highwire.dtl.DTLVardef@59a9b4org.highwire.dtl.DTLVardef@9473e2org.highwire.dtl.DTLVardef@4427dc_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

Placenta microbiome diversity is associated with maternal pre-pregnancy obesity and placenta biogeography

Recently there has been considerable debate in the scientific community regarding the placenta as the host of a unique microbiome. No studies have addressed the associations of clinical conditions such as maternal obesity, or localizations on the placental microbiome. We examined the placental microbiome in a multi-ethnic maternal pre-pregnant obesity cohort using controls for environmental contaminants and an optimized microbiome protocol to enrich low bacterial biomass samples. We confirmed that a distinct placenta microbiome does exist, as compared to the environmental background. The placenta microbiome consists predominantly of Lactobacillus, Enterococcus and Chryseobacterium. Moreover, the microbiome in the placentas of obese pre-pregnant mothers are less diverse when compared to those of mothers of normal pre-pregnancy weight. Lastly, microbiome richness also decreases from the maternal side to fetal side. In summary, our study reveals associations of placental microbiome with placenta biogeography and with maternal pre-pregnant obesity.

microbiology↗