Steering research on mRNA splicing in cancer towards clinical translation

O Anczukow, FHT Allain, BL Angarola, DL Black… - Nature Reviews …, 2024 - nature.com
Splicing factors are affected by recurrent somatic mutations and copy number variations in
several types of haematologic and solid malignancies, which is often seen as prima facie …

Profiling genetically driven alternative splicing across the Indonesian Archipelago

N Ibeh, P Kusuma, CC Darusallam, SG Malik… - The American Journal of …, 2024 - cell.com
One of the regulatory mechanisms influencing the functional capacity of genes is alternative
splicing (AS). Previous studies exploring the splicing landscape of human tissues have …

RNA-seq–based miRNA signature as an independent predictor of relapse in pediatric B-cell acute lymphoblastic leukemia

H Kubota, H Ueno, K Tasaka, T Isobe, S Saida… - Blood …, 2024 - ashpublications.org
Aberrant micro-RNA (miRNA) expression profiles have been associated with disease
progression and clinical outcome in pediatric cancers. However, few studies have analyzed …

Single-cell transcriptome revealed dysregulated RNA-binding protein expression patterns and functions in human ankylosing spondylitis

Z Ren, C Li, J Wang, J Sui, Y Ma - Frontiers in Medicine, 2024 - frontiersin.org
Objective To explore the expression characteristics and regulatory patterns of RBPs in
different immune cell types of AS, and to clarify the potential key role of RBPs in the …

[HTML][HTML] Clinical value of circulating splicing factors in prostate cancer: SRRM1 as a novel predictive biomarker and therapeutic target

AJ Montero-Hidalgo, E Gómez-Gómez… - Molecular Therapy …, 2024 - cell.com
Prostate cancer (PCa) is the second most common cancer among men worldwide. The main
screening tool remains the prostate-specific antigen (PSA), which shows significant …

[HTML][HTML] Improving data interpretability with new differential sample variance gene set tests

Y Rahmatallah, G Glazko - Research Square, 2024 - pmc.ncbi.nlm.nih.gov
Background: Gene set analysis methods have played a major role in generating biological
interpretations from omics data such as gene expression datasets. However, most methods …