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Mohapatra, R.

Publications and source records attributed to Mohapatra, R..

2 recordsLinked to original sources

Role of Fibronectin in Postnatal Skeletal Development

Fibronectin (FN) is a ubiquitous matrix glycoprotein essential for the physiological development of various tissues. Mutations in FN cause a form of skeletal dysplasia, emphasizing the importance of FN in cartilage and bone development. However, the relevance and functional role of FN during skeletal development remains elusive. We employed conditional knockout mouse models for the cellular FN isoform in cartilage (cFNKO), the plasma FN isoform in hepatocytes (pFNKO), and a double knockout (FNdKO) to determine the relevance of these two principal FN isoforms in postnatal skeletal development spanning from P1 to 2 months of age. We identified a unique topological FN deposition pattern in the mouse limb with prominent levels at the resting and hypertrophic chondrocyte zones and in the trabecular bone. Circulating pFN did not enter the growth plate and was limited to the primary ossification center, whereas cartilage-specific cFN was detected as the major isoform in epiphyseal cartilage. Deletion of either one of the isoforms in single knockouts (cFNKO or pFNKO) only led to subtle changes in some of the analyzed parameters. Complete ablation of both cFN in the growth plate and circulating pFN in plasma resulted in significantly reduced postnatal body weight, body length, and bone length in the FNdKO mice. Assessment of the FNdKO adult bone microarchitecture using micro-CT revealed significantly reduced trabecular bone volume, trabecular network, bone mineral density, and increased bone marrow adiposity. Analysis of chondrogenesis in FNdKO mice showed changes in the proliferating and hypertrophic growth plate zones, consistent alterations in chondrogenic markers such as collagen type II and type X, reduced apoptosis of hypertrophic chondrocytes, and downregulation of bone formation markers. FNdKO mice also displayed decreased levels of transforming growth factor-{beta}1 (TGF{beta}1) and downstream phospho-AKT levels, which are critical regulators of chondrogenesis and bone formation. In conclusion, the data demonstrate that FN is essential for proper chondrogenesis and postnatal bone development. Simultaneous deletion of both FN isoforms in the developing cartilage leads to critical TGF{beta}-mediated alterations in chondrogenic differentiation, resulting in bone and skeletal defects. Significance/HighlightsO_LIFN is highly expressed during mouse limb development with increased deposition in resting and hypertrophic chondrocyte zones and the primary ossification center. C_LIO_LICartilage-specific cFN and circulating pFN are distinctly distributed during embryonic and postnatal bone development, with chondrocyte-specific cFN present in the growth plate and pFN limited to trabecular bone and the bone marrow. C_LIO_LIDeletion of both cFN and pFN leads to reduced bone growth during early postnatal development. C_LIO_LIDeletion of cFN and pFN leads to reduced trabecular bone formation, bone mineralization, and increased bone marrow adiposity in 2-month adult mice. C_LIO_LIAbsence of both FN isoforms in the FNdKO mouse model leads to altered chondrogenesis and reduced bone formation. C_LIO_LIFN regulates chondrogenesis via TGF{beta}-mediated phospho-AKT signaling. C_LI

developmental biology↗

COMPUTATIONAL IDENTIFICATION VALIDATION AND STRUCTURAL CHARACTERIZATION OF SOME POTENTIAL CANDIDATE GENES FOR DIABETES MELLITUS

Diabetes mellitus seems to be a complex metabolic disorder due to its association with several complications like cardiovascular, ocular, neurologic, skeletal, hepatic and renal abnormalities etc. Current estimations by WHO suggest that most of the low and middle-income countries of the world are worst affected by this disorder with a prediction that the prevalence may double between 2020 and 2030. Thus both doctors and scientists across the globe are involved in research to disclose the complex genetics of this disorder associated with several environmental and demographic factors. In the last 10 years, several predictions have been made in the lane of omics approaches and computational biology which makes the process quite generous. In the current work, we present a computational analysis of potential candidate genes for diabetes mellitus and their differential expressions in targeted human tissue systems. About 220 reported genes for diabetes mellitus were selected for the study and their protein-protein interaction network (5090 nodes) was extracted using medium-confidence interactions of the HIPPIE database. From the network, the top 10% (509) genes were categorised as hub genes after calculation of about 11 centralities, their consensus ranking and rank correlations. The same set of 220 genes was used for gene ontology enrichment analysis featuring about 1483 genes. About 89 candidate genes were predicted for diabetes mellitus and their differential expressions were studied in adipose, pancreas, skeletal, hepatic and renal tissue systems using the information from NCBI GEOdatabase. Then the differentially expressed gene sets for each tissue system were further validated by fetching them in the potential clusters of the PPI network designed earlier with their functional enrichment analysis using information from the STRINGS database. About 77 genes were prioritized with help of our scoring system and their structural characterization was done with protein centric annotations from UniProtKB database information and molecular model building. We hope our findings are helpful in understanding the expression of diabetes-related genes in different human tissue systems which may lead to the design of newer therapeutic strategies.

systems biology↗