Biology subjects

Cabrera-Alarcon, J. L.

Publications and source records attributed to Cabrera-Alarcon, J. L..

3 recordsLinked to original sources

bioRxiv2026

Membrane surface geometry is a determinant of mitochondrial electron transfer and cellular adaptation

Energy conversion in living organisms relies on biological membranes that facilitate electron transfer between oxidoreductases. In mitochondria, this process is mediated by the electron transport chain embedded in the inner mitochondrial membrane (IMM). Under various physiological and genetic conditions, mitochondrial matrix Na+ levels increase, reducing IMM fluidity through the formation of ternary coordination adducts between Na+ and phospholipids. These adducts impair ubiquinone (CoQ) transfer between respiratory complexes, thereby promoting mitochondrial reactive oxygen species (mtROS) production and activating the hypoxic adaptive pathway. Here, we show that modifying solely the ionic subatomic interaction with phospholipids is sufficient to prevent initiation of this pathway. Compound A (CA) outcompetes Na+ for phospholipid binding without impairing CoQ transfer, thereby preventing mtROS production and hypoxic adaptation. This divergence arises from the penta-coordinate complexes formed by CA with phospholipids, in contrast to the trigonal adducts formed by Na+. This structural distinction preserves IMM fluidity because CA:phospholipid assemblies adopt a less angular configuration. These findings establish membrane-surface geometry, modulated by ion:phospholipid interactions, as an unexpected determinant of membrane biology, mitochondrial energy conversion, redox signalling, and cellular adaptation, with profound implications for physiology and disease.

biochemistry↗

bioRxiv2025

Mitochondrial genetics defines anti-tumour immunity through mitochondrial ROS and PD-1 signalling

As central players in cell metabolism, mitochondria influence numerous aspects of health and disease, including the initiation and progression of cancer. Although mitochondrial DNA (mtDNA) mutations have been extensively documented in human cancers for decades, the functional impact of mitochondrial haplogroups on tumour biology remains largely unexplored. Here, we investigate the role of mitochondrial variability in tumour biology using conplastic mouse strains, which are animal models with identical nuclear genomes but different mtDNA haplotypes. We showed that the physiologically relevant variation in mitochondrial ROS (mROS) generation, associated with specific clusters of mtDNA single nucleotide polymorphisms (SNPs), modulated immune responses within the tumour microenvironment and altered tumour growth. We observed strain-dependent differences in the abundance of multiple immune subsets and in PD-1 expression in tumour-infiltrating lymphocytes (TILs). In addition, mtDNA haplotypes influenced cancer progression by modulating tumour angiogenesis through an mROS-independent mechanism. These findings connect nucleo-mitochondrial genetic variability to tumour progression, de novo vessel formation and anti-tumour immunity. Tumour immunotherapies should incorporate the spatial and temporal dynamics of cancer evolution and consider mitochondrial genetics as a targetable layer influencing treatment efficacy.

cancer biology↗

bioRxiv2019

Frequency Conservation Score (FCS): the power of conservation and allele frequency for variant pathogenic prediction

BackgroundPrediction of pathogenic variants is one of the biggest challenges for researchers and clinicians in the time of next-generation sequencing technologies. Stratification of individuals based on truly pathogenic variants might lead to improved, personalized treatments.\n\nResultsWe present Frequency Conservation Score (FCS) and Frequency Conservation Score for Mitochondrial DNA (FCSMt) two methods for the detection of pathogenic single nucleotide variants in nuclear and mitochondrial DNA, respectively. These scores are based in a random forest model trained over a set of potentially relevant predictors: (i) conservation scores (PhastCons and phyloP); (ii) locus variability at each genomic position built from gnomAD database and (iii) physicochemical distance for amino acids substitutions and the impact/consequence over the canonical transcript. FCS showed an AUC of 98% for deleteriousness in an independent validation dataset, outperforming other scores such as metaLR, metaSVM, REVEL, DANN, CADD, SIFT, PROVEAN or FATHMM-MKL. Moreover, FCSMt presented an AUC=0.92 for pathogenic mitochondrial SNVs detection. The tool is available at http://bioinfo.cnic.es/FCS\n\nConclusionsFCS and FCS-Mt improve pathogenic mutation detection, allowing the prioritization of relevant variants in Whole Exome and Whole Genome Sequencing Analysis.

bioinformatics↗