Biomedical subjects

Jiaxin Hu

Publications and source records attributed to Jiaxin Hu.

3 recordsLinked to original sources

PubMed2026

Small molecule inhibition of CPSF3 may impact R-loop distribution and abundance.

R-loops are three-stranded nucleic acid structures consisting of an RNA/DNA hybrid and a displaced strand of DNA. These structures have been implicated in a variety of regulatory cellular processes. Their untimed or excess accumulation, however, can cause genomic instability and induce DNA damage. Most R-loops form co-transcriptionally when the nascent transcript reanneals to unwound DNA duplex. Changes in transcription rates have the potential to impact R-loop formation, and compounds that modulate R-loop formation would be useful molecular tools and therapeutic leads. Cleavage and Polyadenylation Specific Factor 3 (CPSF3) recognizes the pre-mRNA 3' cleavage site, cleaves the transcript prior to polyadenylation, and has been linked to R-loop formation. Inhibition of CPSF3 has been found to induce transcriptional readthrough and cell proliferation defects. A previous report suggested that inhibition of CPSF3 with a small molecule causes a global increase in R-loop formation. Here, we test the impact of YT-II-100, a novel inhibitor of CPSF3. We find that addition of YT-II-100 increases global R-loop formation but does not change R-loop formation at specific genes that are normally used as positive controls for R-loop formation. We performed parallel assays using a previously reported compound, JTE-607, and observed similar results. Our data emphasize the need for cautious interpretation of experiments using JTE-607 and YT-II-100. There may be different mechanisms of R-loop formation depending on gene loci, where the control of R-loop formation by agonists at certain genes may differ from the trends observed for impacts on global R-loop formation.

R-Loop Structures↗

PubMed2025

A spectral framework to map QTLs affecting joint differential networks of gene co-expression.

Studying the mechanisms underlying the genotype-phenotype association is crucial in genetics. Gene expression studies have deepened our understanding of the genotype  →  expression  →  phenotype mechanisms. However, traditional expression quantitative trait loci (eQTL) methods often overlook the critical role of gene co-expression networks in translating genotype into phenotype. This gap highlights the need for more powerful statistical methods to analyze genotype  →  network  →  phenotype mechanism. Here, we develop a network-based method, called spectral network quantitative trait loci analysis (snQTL), to map quantitative trait loci affecting gene co-expression networks. Our approach tests the association between genotypes and joint differential networks of gene co-expression via a tensor-based spectral statistics, thereby overcoming the ubiquitous multiple testing challenges in existing methods. We demonstrate the effectiveness of snQTL in the analysis of three-spined stickleback (Gasterosteus aculeatus) data. Compared to conventional methods, our method snQTL uncovers chromosomal regions affecting gene co-expression networks, including one strong candidate gene that would have been missed by traditional eQTL analyses. Our framework suggests the limitation of current approaches and offers a powerful network-based tool for functional loci discoveries.

Quantitative Trait Loci↗

PubMed2024

Comparative analysis of chloroplast genomes in ten holly (Ilex) species: insights into phylogenetics and genome evolution.

In order to clarify the chloroplast genomes and structural features of ten Ilex species and provide insights into the phylogeny and genome evolution of the genus Ilex, we conducted a comparative analysis of chloroplast genomes using bioinformatics methods. The chloroplast genomes of ten Ilex species were obtained, and their structural features and variations were compared. The results indicated that all chloroplast genomes in the genus Ilex exhibit a double-stranded circular structure, with sizes ranging from 157,356 to 158,018 bp, showing minimal differences in size. The chloroplast genomes of the ten Ilex species have a relatively conservative gene count, with a total of 134 to 135 genes, including 88 or 89 protein-coding genes, and a conserved number of 8 rRNA genes. Each chloroplast genome contains 3 to 123 SSR (Simple Sequence Repeat) sites, predominantly composed of mononucleotide and trinucleotide repeats, with no detection of pentanucleotide or hexanucleotide repeats. The variation in dispersed repeat sequences among Ilex species is minimal, with a total repeat sequence number ranging from 1 to 14, concentrated in the length range of 30 to 42 base pairs. The expansion and contraction of chloroplast genome boundaries among Ilex species are relatively stable, with only minor variations observed in individual species. Variations in non-coding regions are more pronounced than those in coding regions, with the variability in the Large Single Copy region (LSC) being the highest, while the variability in the Inverted Repeat region A (IRa) is the lowest. The divergence time among Ilex species was estimated using the MCMC-tree module, revealing the evolutionary relationships among these species, their common ancestors, and their differentiation throughout the evolutionary process. The research findings provide a valuable reference for the systematic study and molecular marker development of Ilex plants.

Genome, Chloroplast↗