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Abdullahi Ibrahim Uba

Publications and source records attributed to Abdullahi Ibrahim Uba.

2 recordsLinked to original sources

Bioactivity and developmental toxicity of Raphanus raphanistrum: integrating phytochemistry, in vitro assays, and zebrafish model.

Raphanus raphanistrum L. (wild radish), a member of the Brassicaceae family, is an edible herb widely utilized in traditional medicine for the treatment of various ailments. This study aimed to evaluate the chemical composition, antioxidant capacity, enzyme inhibitory potential, and cytotoxic activity of extracts derived from its aerial parts. Among the tested extracts, the 70% ethanol extract contained the highest total phenolic content. A total of 38 compounds, mainly phenolic acids and flavonoids, were identified by HPLC-ESI-MS/MS analysis. The aqueous extract contained the highest levels of individual phenolic compounds, particularly ferulic acid and p-coumaric acid. The 70% ethanol extract showed the strongest antioxidant activity in all assays. The ethyl acetate extract exhibited the highest acetylcholinesterase and α-amylase inhibitory activities. Cytotoxicity assays revealed that the 70% ethanol extract was active against A549 lung cancer cells with an IC50 value of 56.77 µg mL-1 and a selectivity index of 1.6. In vivo zebrafish developmental toxicity assays demonstrated dose-dependent embryotoxic effects. Early exposure (0 hpf) caused increased mortality, reduced hatching, and morphological abnormalities, such as axial curvature and pericardial edema, whereas exposure at 72 hpf showed markedly reduced sensitivity. Overall, the findings suggest that R. raphanistrum is a promising natural source of bioactive compounds that could be used in the nutraceutical, pharmaceutical and cosmeceutical industries.

Journal Article

Integrative proteomics and bioinformatics pipelines for PTM profiling.

Post-translational modifications (PTMs) regulate protein function across all life forms and allow plants to respond rapidly to biotic and abiotic stress. Over 450 PTM types have been described across organisms, of which 23-33 have been experimentally confirmed in plants, including phosphorylation, acetylation, methylation, glycosylation, ubiquitination, and sumoylation. These modifications are highly dynamic and often reversible, and frequently act in combination, or "crosstalk," to fine-tune cellular processes. Advances in high-resolution mass spectrometry and large-scale genome sequencing continue to expand the catalogue of known PTM sites, while machine learning and deep learning approaches increasingly support prediction of PTM site localization and function. Unlike broader surveys of plant PTMs, this review focuses specifically on O-phosphorylation and Lys-N(ε)-acetylation, the two best-characterized and most extensively crosstalking PTMs in plants, and integrates four perspectives: the historical development of proteomic and bioinformatics approaches to these modifications; current mass spectrometry-based workflows and enrichment strategies; the bioinformatics tools and databases available for their analysis; and the technical and species-related challenges, particularly in non-model plants, that currently limit their study. We close by outlining priority directions for future research, including multi-omics integration, AI-based prediction, and the translation of PTM knowledge into crop stress resilience and breeding applications.

Protein Processing, Post-Translational