Biology subjects

Arsalan, M.

Publications and source records attributed to Arsalan, M..

2 recordsLinked to original sources

bioRxiv2026

Aging compromises Zebrafish caudal fin regeneration by disrupting Regenerative gene networks and Cellular metabolism

Zebrafish are widely recognized as a powerful vertebrate model for studying epimorphic regeneration due to their remarkable ability to restore complex tissues. However, regenerative efficiency declines with age, potentially due to alterations in gene regulatory networks and cellular metabolism. In the present study, we investigated the molecular and bioenergetic basis of age-associated regenerative decline by comparing young adult (<1 year) and old adult (>3 years) zebrafish during caudal fin regeneration. To further examine the contribution of mitochondrial function, mitochondrial dysfunction was experimentally induced using rotenone (20 nM), a mitochondrial Complex I inhibitor. Regenerative progression was assessed morphologically at 12hpa, 1dpa, 2dpa, 3dpa, and 7dpa, revealing a pronounced delay in fin regrowth in aged and rotenone-treated fish compared with young controls. Behavioral analysis indicated subtle but non-significant changes across experimental groups. Gene expression analysis using quantitative real-time PCR revealed age- and mitochondria-associated dysregulation of key regenerative gene families involved in developmental patterning, extracellular matrix organization, cellular signaling, and mitochondrial metabolism. Proteomic profiling further identified differential expression of proteins associated with mitochondrial bioenergetics, extracellular matrix remodeling, and signaling pathways required for blastema formation and tissue outgrowth. Ultrastructural examination by transmission electron microscopy revealed pronounced mitochondrial abnormalities, including enlarged mitochondria with fragmented or disrupted cristae, in aged and rotenone-treated regenerating tissues. Collectively, our integrative analysis establishes a mechanistic link between aging, mitochondrial dysfunction, and compromised regenerative capacity in zebrafish. The findings provide broader insights into metabolic constraints underlying age-related decline in regenerative potential in vertebrates.

developmental biology↗

bioRxiv2023

Improved integration of single cell transcriptome data demonstrated on heart failure in mice and men

Biomedical research frequently uses murine models to study disease mechanisms. However, the translation of these findings to human disease remains a significant challenge. In order to improve the comparability of mouse and human data, we present a cross-species integration pipeline for single-cell transcriptomic assays. The pipeline merges expression matrices and assigns clear orthologous relationships. Starting from Ensembl ortholog assignments, we allocated 82% of mouse genes to unique orthologs by using additional publicly available resources such as Uniprot, and NCBI databases. For genes with multiple matches, we employed the Needleman-Wunsch global alignment based on either amino acid or nucleotide sequence to identify the ortholog with the highest degree of similarity. The workflow was tested for its functionality and efficiency by integrating scRNA-seq datasets from heart failure patients with the corresponding mouse model. We were able to assign unique human orthologs to up to 80% of the mouse genes, utilizing the known 17,492 orthologous pairs. Curiously, the integration process enabled the identification of both common and unique regulatory pathways between species in heart failure. In conclusion, our pipeline streamlines the integration process, enhances gene nomenclature alignment and simplifies the translation of mouse models to human disease. We have made the OrthoIntegrate R-package accessible on GitHub (https://github.com/MarianoRuzJurado/OrthoIntegrate), which includes the assignment of ortholog definitions for human and mouse, as well as the pipeline for integrating single cells. KeypointsO_LINovel integration workflow for scRNA-seq data from different species in an easy to use R-package ("OrthoIntegrate"). C_LIO_LIImproved one-to-one ortholog assignment via sequence similarity scores and string similarity calculations. C_LIO_LIValidation of "OrthoIntegrate" results with a case study of snRNA-seq from human heart failure with reduced ejection fraction and its corresponding mouse model C_LI

bioinformatics↗