Biology subjects

Tristani-Firouzi, M.

Publications and source records attributed to Tristani-Firouzi, M..

4 recordsLinked to original sources

bioRxiv2026

Signatures of sex ratio distortion in humans

Segregation distortion, the disproportionate inheritance of selfish genetic elements, is an important evolutionary force. While many species carry distorters, it is not clear if humans do. Major limitations for detecting human distortion are the small size of human families and the lack of genetic markers in most subjects. Here, we present evidence of strong distortion in a large human pedigree. We analyzed pedigrees from the Utah Population Database and identified lineages with a high chance of carrying a distorter. In particular, we identified a family that preferentially produced male offspring at a 2:1 ratio. This pattern is consistent with a distorting Y-chromosome, a rarity in species with degenerate Y-chromosomes. The detection of such non-Mendelian inheritance patterns suggests that human genomes may harbor segregation distorters.

genetics↗

bioRxiv2025

Extracellular matrix and cytoskeletal reverse remodeling pathways are key drivers of myocardial recovery following left ventricular assist device therapy

Transcriptomic changes in heart failure (HF) patients prior to and following left ventricular assist device (LVAD) support have been extensively studied. Recent studies focused on understanding DNA methylation changes in patients with cardiovascular diseases (CVD) and the role of circulating markers of DNA methylation as clinical predictors of the risk of CVD related morbidity and mortality. In this study, we used paired (pre- and post-LVAD) myocardial samples to examine changes in DNA methylation alongside RNA and protein expression. Our data suggests that patients with no improvement in cardiac function after LVAD therapy, despite showing an improvement in energy production (increased {beta}-oxidation of fatty acid) exhibited persistent activation of profibrotic signaling, increased collagen deposition and cytoskeletal disarray evident from abnormal increase in sarcomeric distance following LVAD support. Contrarily, patients with improvement in cardiac function after LVAD therapy showed activation of pro-inflammatory signaling, collagen degradation and myogenesis. Both RNA sequencing and western blot data showed increased COL1A1 and decreased TPPP3 in post-NR thereby suggesting increased fibrosis and disrupted cytoskeletal signaling as potential barriers to myocardial recovery. Additionally, responders to LVAD therapy showed a significant reversal in myocardial interstitial fibrosis with a preserved sarcomeric architecture. Mice model of HF and recovery also confirmed our human findings, with reduced fibrotic signaling and improved cytoskeletal remodeling signaling observed in mice that showed improvement in cardiac function compared to mice with HF. Overall, our data suggests that altering extracellular matrix regulation and cytoskeletal signaling pathways may contribute to myocardial recovery. Further studies targeting these pathways are required to identify new HF therapeutic targets.

genomics↗

bioRxiv2019

Early post-zygotic mutations contribute to congenital heart disease

BackgroundThe contribution of somatic mosaicism, or genetic mutations arising after oocyte fertilization, to congenital heart disease (CHD) is not well understood. Further, the relationship between mosaicism in blood and cardiovascular tissue has not been determined.\n\nResultsWe developed a computational method, Expectation-Maximization-based detection of Mosaicism (EM-mosaic), to analyze mosaicism in exome sequences of 2530 CHD proband-parent trios. EM-mosaic detected 326 mosaic mutations in blood and/or cardiac tissue DNA. Of the 309 detected in blood DNA, 85/97 (88%) tested were independently confirmed, while 7/17 (41%) candidates of 17 detected in cardiac tissue were confirmed. MosaicHunter detected an additional 64 mosaics, of which 23/46 (50%) among 58 candidates from blood and 4/6 (67%) of 6 candidates from cardiac tissue confirmed. Twenty-five mosaic variants altered CHD-risk genes, affecting 1% of our cohort. Of these 25, 22/22 candidates tested were confirmed. Variants predicted as damaging had higher variant allele fraction than benign variants, suggesting a role in CHD. The frequency of mosaic variants above 10% mosaicism was 0.13/person in blood and 0.14/person in cardiac tissue. Analysis of 66 individuals with matched cardiac tissue available revealed both tissue-specific and shared mosaicism, with shared mosaics generally having higher allele fraction.\n\nConclusionsWe estimate that ~1% of CHD probands have a mosaic variant detectable in blood that could contribute to cardiac malformations, particularly those damaging variants expressed at higher allele fraction compared to benign variants. Although blood is a readily-available DNA source, cardiac tissues analyzed contributed ~5% of somatic mosaic variants identified, indicating the value of tissue mosaicism analyses.

bioinformatics↗

bioRxiv2017

Robust identification of deletions in exome and genome sequence data based on clustering of Mendelian errors

Multiple tools have been developed to identify copy number variants (CNVs) from whole exome (WES) and whole genome sequencing (WGS) data. Current tools such as XHMM for WES and CNVnator for WGS identify CNVs based on changes in read depth. For WGS, other methods to identify CNVs include utilizing discordant read pairs and split reads and genome-wide local assembly with tools such as Lumpy and SvABA, respectively. Here, we introduce a new method to identify deletion CNVs from WES and WGS trio data based on the clustering of Mendelian errors (MEs). Using our Mendelian Error Method (MEM), we identified 127 deletions (inherited and de novo) in 2,601 WES trios from the Pediatric Cardiac Genomics Consortium, with a validation rate of 88% by digital droplet PCR. MEM identified additional de novo deletions compared to XHMM, and also identified sample switches, DNA contamination, a significant enrichment of 15q11.2 deletions compared to controls and eight cases of uniparental disomy. We applied MEM to WGS data from the Genome In A Bottle Ashkenazi trio and identified deletions with 97% specificity. MEM provides a robust, computationally inexpensive method for identifying deletions, and an orthogonal approach for verifying deletions called by other tools.

genetics↗