bioRxiv Science⌕ Search

Biology subjects

Sukul, A.

Publications and source records attributed to Sukul, A..

2 recordsLinked to original sources

Sirt5 regulates chondrocyte metabolism and osteoarthritis development through protein lysine malonylation

ObjectivesChondrocyte metabolic dysfunction plays an important role in osteoarthritis (OA) development during aging and obesity. Protein post-translational modifications (PTMs) have recently emerged as an important regulator of cellular metabolism. We aim to study one type of PTM, lysine malonylation (MaK) and its regulator Sirt5 in OA development. MethodsHuman and mouse cartilage tissues were used to measure SIRT5 and MaK levels. Both systemic and cartilage-specific conditional knockout mouse models were subject to high-fat diet (HFD) treatment to induce obesity and OA. Proteomics analysis was performed in Sirt5-/- and WT chondrocytes. SIRT5 mutation was identified in the Utah Population Database (UPDB). ResultsWe found that SIRT5 decreases while MAK increases in the cartilage during aging. A combination of Sirt5 deficiency and obesity exacerbates joint degeneration in a sex dependent manner in mice. We further delineate the malonylome in chondrocytes, pinpointing MaKs predominant impact on various metabolic pathways such as carbon metabolism and glycolysis. Lastly, we identified a rare coding mutation in SIRT5 that dominantly segregates in a family with OA. The mutation results in substitution of an evolutionally invariant phenylalanine (Phe-F) to leucine (Leu-L) (F101L) in the catalytic domain. The mutant protein results in higher MaK level and decreased expression of cartilage ECM genes and upregulation of inflammation associated genes. ConclusionsWe found that Sirt5 mediated MaK is an important regulator of chondrocyte cellular metabolism and dysregulation of Sirt5-MaK could be an important mechanism underlying aging and obesity associated OA development.

cell biology↗

PlantNexus: A Gene Co-expression Network Database and Visualization Tool for Barley and Sorghum

Global gene co-expression networks (GCNs) are powerful tools for functional genomics whereby putative functions and regulatory mechanisms can be inferred by gene co-expression. With the recent accumulation of RNA-seq data sets, the construction of RNA-seq-based GCNs has now become possible. Cereal crops, such as Hordeum vulgare (barley) and Sorghum bicolor (sorghum), are among the most important plants to humanity and contribute significantly to our food supply. However, co-expression network tools for these plants are outdated or lacking. In this study, we constructed global GCNs for barley and sorghum using 500 and 774 RNA-seq data sets, respectively. In addition, we curated the meta-information of these RNA-seq data sets and categorized them into four main tissue types, leaf, root, shoot, and flower/seed, and built tissue-specific GCNs. To enable GCN searching and visualization, we implemented a website and database named PlantNexus, offering an immersive environment for the exploration and visualization of gene expressions and co-expressions of barley and sorghum at the global and tissue-specific levels. PlantNexus is freely available at https://plantnexus.ohio.edu/.

bioinformatics↗