Biology subjects

Kakhlon, O.

Publications and source records attributed to Kakhlon, O..

4 recordsLinked to original sources

bioRxiv2025

Patient-Specific Pharmacogenomics unveils xCT Regulation Pathways in Colon Cancer

Colorectal cancer (CRC) represents the third-leading cause of cancer-related deaths. Knowledge covering diverse cellular and molecular data from individual patients has become valuable for diagnosis, prognosis, and treatment selection. Here, we present an in-depth comparative mRNA-seq and microRNA-seq analysis of tissue samples from 32 CRC, pairing tumors with adjacent healthy tissues. The differential expression gene (DEG) analysis revealed an interconnection between nutrients, metabolic programs, and cell cycle pathways. We focused on the impact of overexpressed SLC7A11 (xCT) and SLC3A2 genes which compose the cystine/glutamate transporter (Xc-) system. To assess the oncogenic potency of the Xc-system in a cellular setting, we applied a knowledge-based approach for analyzing gene perturbations from CRISPR screens across various cell types as well as using a variety of functional assays in five primary patient-derived organoid cell models to functionally verify our hypothesis. We identified a previously undescribed cell surface protein signature predicting chemotherapy resistance and further highlighted the causality and potential of pharmacological blockage of ferroptosis as promising avenue for cancer therapy. Biological processes such as redox homeostasis, ion/amino acid transporters and de novo nucleotide synthesis were associated with these co-dependent genes in patient specimens. This study highlighted a number of overlooked genes as potential clinical targets for CRC and promotes stem cell-based, patient-individual in vitro model systems as a versatile partner platform to functionally validate in silico predictions, with focus on SLC7A11 and its associated genes in tumorigenesis.

cancer biology↗

bioRxiv2024

Transcription network of SLC7A11 (xCT) in colon cancer provides clinical targets for metabolic regulation and cell proliferation

Colorectal cancer (CRC) represents the third leading cause of cancer-related deaths. Knowledge covering diverse cellular and molecular data from individual patients has become valuable for diagnosis, prognosis, and treatment selection. Here, we present in-depth comparative RNA-seq analysis of 32 CRC patients pairing tumor and healthy tissues (total of 73 samples). Strict thresholds for differential expression genes (DEG) analysis revealed an interconnection between nutrients, metabolic program, and cell cycle pathways. Among the upregulated DEGs, we focused on the Xc- system, composed of the proteins from SLC7A11 (xCT) and SLC3A2 genes, along with several interacting genes. To assess the oncogenic potency of the Xc- system in a cellular setting, we applied a knowledge-based approach, analyzing gene perturbations from CRISPR screens. The study focused on a set of 27 co-dependent genes that were strongly correlated with the fitness of SLC7A11 and SLC3A2 across many cell types. Alterations in these genes in 13 large-scale studies (e.g., by mutations and copy number variation) were found to enhance overall survival and progression-free survival in CRC patients. In agreement, the overexpression of these genes in cancer cells drives cancer progression by allowing effective management of the redox level, induction of stress response mechanisms, and most notably, enhanced activity of ion/amino acid transporters, and enzymes acting in de novo nucleotide synthesis. We also highlight the positive correlation between the Xc- system gene expression level, patient responsiveness to different chemotherapy treatments, and immune cell infiltration (e.g., myeloid-derived suppressor cells) in CRC tumors as a measure for their immunosuppressive activity. This study illustrates that knowledge-based interpretation by synthesizing multiple layers of data leads to functional and mechanistic insights into the role of SLC7A11 and its associated genes in CRC tumorigenesis and therapeutics.

cancer biology↗

bioRxiv2023

Imprinted cell memory in glycogen storage disorder 1a

Glycogen storage disorder type 1a (GSD1a) is caused by loss-of-function mutations in the catalytic subunit of glucose-6-phosphatase enzyme (G6PC1) in the liver, kidney and intestine exclusively. Here we show the surprising results that while not expressing G6PC1, primary skin fibroblasts isolated from GSD1a patients skin biopsies preserve a distinctive disease phenotype irrespective of the different culture conditions under which they grow. This discovery was initially made by phenotypic image-based high content analysis (HCA). Deeper analysis into this disease phenotype, revealed impaired lysosomal and mitochondrial functions in GSD1a cells, which were driven by a transcriptional dysregulation of the NAD+/NADH-Sirt-1-TFEB regulatory axis. This dysregulation impacts the normal balance between mitochondrial biogenesis and mitophagy in the patients cells. The distinctive GSD1a fibroblasts phenotype involves elevated H3 histone acetylation, global DNA hypomethylation, differences in the chromatin accessibility and different RNA-seq and metabolomic profiles, all of which suggesting that in some way a distinctive disease cell phenotype is programmed in these cells in vivo and that this phenotype is maintained in vitro. Supporting this notion, reversing H3 acetylation in these cells erased the original cellular phenotype in GSD1a cells. Remarkably, GHF201, an established glycogen reducing molecule, which ameliorated GSD1a pathology in a liver-targeted inducible L.G6pc- knockout mouse model, also reversed impaired cellular functions in GSD1a patients fibroblasts. Altogether, this experimental evidence strongly suggests that GSD1a fibroblasts express a strong and reversible disease phenotype without expressing the causal G6PC1 gene.

molecular biology↗

bioRxiv2021

A new drug candidate for glycogen storage disorders enhances glycogen catabolism: Lessons from Adult Polyglucosan Body Disease models

This work employs Adult Polyglucosan Body Disease (APBD) models to explore the efficacy and mechanism of action of 144DG11, a new polyglucosan-reducing lead compound discovered by a high-throughput screen (HTS). APBD is an adult onset glycogen storage disorder (GSD) manifesting as a debilitating progressive axonopathic leukodystrophy. APBD is caused by glycogen branching enzyme (GBE) deficiency leading to poorly branched and insoluble glycogen inclusions, which precipitate as neuropathogenic polyglucosans (PG). 144DG11 led to prolonged survival and improved motor parameters in a GBE knockin (Gbeys/ys) APBD mouse model. Histopathologically, 144DG11 reduced PG and glycogen levels in brain, liver, heart, and peripheral nerve. Indirect calorimetry experiments revealed that 144DG11 increases carbohydrate burn at the expense of fat burn, suggesting metabolic mobilization of pathogenic PG. These results were also reflected at the cellular level by increased glycolytic, mitochondrial and total ATP production. Mechanistically, we show that the molecular target of 144DG11 is the lysosomal membrane protein LAMP1, whose interaction with the compound, similar to LAMP1 knockdown, enhanced autolysosomal degradation of glycogen and lysosomal acidification. Enhanced mitochondrial activity and lysosomal modifications were also the most pronounced effects of 144DG11 in APBD patient fibroblasts as discovered by image-based multiparametric phenotyping analysis and corroborated by proteomics. In summary, this work presents a broad mechanistic and target-based characterization of 144DG11 in in vivo and cell models of the prototypical GSD APBD. This investigation warrants development of 144DG11 into a safe and efficacious GSD therapy. One Sentence SummaryA new compound, demonstrated to ameliorate APBD in vivo and ex vivo by autophagic catabolism of glycogen, may potentially become a universal drug for glycogen storage disorders.

neuroscience↗