Search bioRxiv⌕ Search

Biology subjects

Walker, O.

Publications and source records attributed to Walker, O..

2 recordsLinked to original sources

CLM296: a highly selective inhibitor targeting ALDH1A3-driven tumor growth and metastasis in breast cancer

Aldehyde dehydrogenase 1A3 (ALDH1A3) increases tumor growth, metastasis, and chemoresistance in many solid tumors, including triple-negative breast cancer (TNBC), glioblastoma, melanoma, lung, and colon cancers, yet no clinically approved inhibitors exist. Here, we present CLM296, a novel and highly selective ALDH1A3 inhibitor designed to address this unmet need. CLM296 exhibits potent inhibition of ALDH1A3 activity in TNBC cells (half-maximal inhibitory concentration = 2 nM) with no off-target effects on the highly homologous ALDH1A1 isoform. RNA sequencing confirmed its specificity, demonstrating selective suppression of ALDH1A3-regulated gene expression only, and a lack of effect in control cells that have minimal ALDH1A3 expression. Transwell assays showed that CLM296 reduced the increased invasion of cells induced by ALDH1A3. Once daily dosing of 4mg/kg CLM296 in mice specifically reduced ALDH1A3-mediated gene expression in tumors and impeded ALDH1A3-driven tumor growth and lung metastasis in TNBC xenografts. There was no observed toxicity in the mice as evidenced by stable mouse body weights and no significant changes in blood creatinine and ALT levels. Pharmacokinetic studies of CLM296 revealed broad tissue distribution, including tumor, lung, liver, and brain. With oral administration the terminal elimination half-life of CLM296 exceeded 12 hours, resulting in sustained ALDH1A3-inhibiting concentrations beyond 24 hours. Together, these findings establish CLM296 as a potential first-in-class ALDH1A3 inhibitor with high selectivity for ALDH1A3, favorable pharmacokinetics, and a positive preclinical safety profile. CLM296 represents a promising therapeutic candidate to complement standard-of-care treatments in ALDH1A3+ cancers.

cancer biology↗

Revisiting annotation of Schistosoma mansoni Micro-Exon Gene (MEG) family

Genome sequencing of the human parasite Schistosoma mansoni revealed an interesting gene superfamily called micro-exon gene (MEG) that encodes MEG secreted proteins. The genes are composed of short exons (3-81 base pairs) with symmetrically inserted long introns (up to 5 kbp). This article recollects 35 S. mansoni specific meg genes that are distributed over 7 autosomes and one pair of sex chromosomes and that code for at least 87 verified MEG proteins. We used various bioinformatics tools to produce an optimal alignment, propose a phylogenetic analysis and highlight intriguing conserved patterns/motifs in the sequences of these MEG proteins. Based on the analyses, we were able to classify the MEG proteins into two subfamilies and to hypothesize their duplication and colonization of all the chromosomes. Together with motif identification, we also proposed to revisit MEGs common names and annotation in order to avoid duplication, to help reproducibility of research results and to avoid possible misunderstandings. Author AbstractSchistosoma mansoni is a parasitic worm, the etiological agent of schistosomiasis or bilharzia, a chronic tropical disease. It is a vector-borne parasite with a complex life cycle and an equally complex genome, assembled in 7 autosomes and a pair of sexual chromosomes. Within the gene products, one superfamily is particularly interesting, since it is specific to Schistosomatidae, highly variable and redundant: the micro-exon gene (MEG) family. As the name implies, these genes are made by short coding exons (3 to 81 base pairs), symmetrically interspersed by long introns (from 0.2 to 5 kbp). There are 35 megs allover the chromosomes, which code for at least 87 MEG proteins. We have aligned all of them, constructed a phylogenetic tree and proposed a theory for their duplication and genome colonization. Based on that, we propose a rational nomenclature to help the community to study MEGs elusive role. We also propose to help WormBaseParaSite to adopt this new nomenclature to avoid giving the same acronym to different protein sequences.

bioinformatics↗