Biology subjects

Kholmatov, M.

Publications and source records attributed to Kholmatov, M..

3 recordsLinked to original sources

bioRxiv2025

SpliceUp: Predicting SF3B1 mutations in individual cells via aberrant splice site activation from scRNA-seq data

Myeloid neoplasms (MN) are clonal heterogeneous disorders initiated by somatic driver mutations in hematopoietic stem and progenitor cells (HSPCs). Among the most common are mutations in RNA splicing factors, which exert pleiotropic effects but are difficult to study due to altered hematopoietic differentiation and the inability to specifically isolate mutant HSPCs. Single-cell transcriptomics offers a powerful framework to dissect mutant cell states, yet direct genotyping is hampered by data sparsity and often requires costly, labor-intensive approaches. To overcome this limitation, we developed SpliceUp, a computational tool that identifies splice factor-mutant cells through their aberrant RNA splicing signatures. Applied to SF3B1-mutant samples, SpliceUp exploits cryptic 3 splice site usage and exon-skipping events to achieve more than a 7-fold increase in mutant cell detection from low-coverage 10x Genomics datasets. Differential expression analysis revealed cell typespecific programs, including MHC-II upregulation in SF3B1-mutated HSCs and enhanced RNA translation in SF3B1-mutated erythroid precursors.

bioinformatics↗

bioRxiv2024

Inflammatory Mesenchymal Stromal Cells and IFN-responsive T cells are key mediators of human bone marrow niche remodeling in CHIP and MDS

Somatic mutations in hematopoietic stem/progenitor cells (HSPCs) can lead to clonal hematopoiesis of indeterminate potential (CHIP), potentially progressing to myelodysplastic syndromes (MDS). Here, we investigated how CHIP and MDS remodel the human bone marrow (BM) niche relative to healthy elderly donors, using single cell and anatomical analyses in a large BM cohort. We found distinct inflammatory remodeling of the BM in CHIP and MDS. Furthermore, the stromal compartment progressively lost its HSPC-supportive adipogenic CXCL12-abundant reticular cells while an inflammatory mesenchymal stroma cell (iMSCs) population emerged in CHIP, which expanded in MDS. iMSCs exhibited distinct functional signatures in CHIP and MDS, retaining residual HSPC-support and angiogenic activity in MDS, corresponding with an increase in microvasculature in the MDS niche. Additionally, an IFN-responsive T cell population was linked to fueling inflammation in the stroma. Overall, these findings open new avenues for early intervention in hematological malignancies.

molecular biology↗

bioRxiv2021

GRaNIE and GRaNPA: Inference and evaluation of enhancer-mediated gene regulatory networks applied to study macrophages

Among the biggest challenges in the post-GWAS (genome-wide association studies) era is the interpretation of disease-associated genetic variants in non-coding genomic regions. Enhancers have emerged as key players in mediating the effect of genetic variants on complex traits and diseases. Their activity is regulated by a combination of transcription factors (TFs), epigenetic changes and genetic variants. Several approaches exist to link enhancers to their target genes, and others that infer TF-gene connections. However, we currently lack a framework that systematically integrates enhancers into TF-gene regulatory networks. Furthermore, we lack an unbiased way of assessing whether inferred regulatory interactions are biologically meaningful. Here we present two methods, implemented as user-friendly R packages: GRaNIE (Gene Regulatory Network Inference including Enhancers) for building enhancer-based gene regulatory networks (eGRNs) and GRaNPA (Gene Regulatory Network Performance Analysis) for evaluating GRNs. GRaNIE jointly infers TF-enhancer, enhancer-gene and TF-gene interactions by integrating open chromatin data such as ATAC-Seq or H3K27ac with RNA-seq across a set of samples (e.g. individuals), and optionally also Hi-C data. GRaNPA is a general framework for evaluating the biological relevance of TF-gene GRNs by assessing their performance for predicting cell-type specific differential expression. We demonstrate the power of our tool-suite by investigating gene regulatory mechanisms in macrophages that underlie their response to infection and cancer, their involvement in common genetic diseases including autoimmune diseases, and identify the TF PURA as putative regulator of pro-inflammatory macrophage polarisation. Availability- GRaNIE: https://bioconductor.org/packages/release/bioc/html/GRaNIE.html - GRaNPA: https://git.embl.de/grp-zaugg/GRaNPA Graphical abstract O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

genomics↗