Transcriptomes of cervical cancer provide novel insights into dysregulated pathways, potential therapeutic targets, and repurposed drugs.

Cervical cancer ranks as the fourth most prevalent gynaecological malignancy and is a significant contributor to mortality among women globally. With the exception of HPV-mediated oncogenesis, the molecular etiology of the disease is poorly understood, and there is a critical dearth of knowledge concerning cancer that is not caused by HPV. Moreover, none of the options presently accessible for the treatment of cancers specifically target cervical cancer. In context with this, this research aims to identify the critical genes, regulators, and pathways that contribute to the pathogenesis of cervical cancer, in addition to prospective pharmacological targets and repurposed therapeutic agents that can be directed against the targets. A total of eleven different global gene expression (transcriptome) datasets were subjected to analysis utilizing a variety of in silico tools. The present study reveals a previously unknown correlation between cervical cancer and five genes: SHC1, CBL, GNAQ, GNA14, and PPP2CA. Significant dysregulation was observed in four crucial transcription factors (KLF4, E2F1, FOXM1, and AR) that modulate the expression of numerous genes in cervical cancer. Furthermore, it was observed that AKT1, MAPK1, and MAPK3 ranked the highest among the regulatory genes that hold promise as therapeutic targets in the context of cervical cancer. Additional research, both in vitro and in vivo, is required to validate and establish the therapeutic potential of these crucial genes in the context of cervical cancer.

Salt tolerance QTLs of an endemic rice landrace, Horkuch at seedling and reproductive stages.

Salinity has a significant negative impact on production of rice. To cope with the increased soil salinity due to climate change, we need to develop salt tolerant rice varieties that can maintain their high yield. Rice landraces indigenous to coastal Bangladesh can be a great resource to study the genetic basis of salt adaptation. In this study, we implemented a QTL analysis framework with a reciprocal mapping population developed from a salt tolerant landrace Horkuch and a high yielding rice variety IR29. Our aim was to detect genetic loci that contributes to the salt adaptive responses of the two different developmental stages of rice which are very sensitive to salinity stress. We identified 14 QTLs for 9 traits and found that most are unique to specific developmental stages. In addition, we detected a significant effect of the cytoplasmic genome on the QTL model for some traits such as leaf total potassium and filled grain weight. This underscores the importance of considering cytoplasm-nuclear interaction for breeding programs. Finally, we identified QTLs co-localization for multiple traits that highlights the possible constraint of multiple QTL selection for breeding programs due to different contributions of a donor allele for different traits.

A comprehensive in silico analysis of the deleterious nonsynonymous SNPs of human FOXP2 protein.

FOXP2 encodes the forkhead transcription factor that plays a significant role in language development. Single nucleotide polymorphisms in FOXP2 have been linked to speech- language disorder, autism, cancer and schizophrenia. So, scrutinizing the functional SNPs to better understand their association in disease is an uphill task. The purpose of the current study was to identify the missense SNPs which have detrimental structural and functional effects on the FOXP2 protein. Multiple computational tools were employed to investigate the deleterious role of non-synonymous SNPs. Five variants as Y531H, L558P, R536G and R553C were found to be associated with diseases and located at the forkhead domain of the FOXP2 protein. Molecular docking analysis of FOXP2 DNA binding domain with its most common target sequence 5'-CAAATT-3' predicted that R553C and L558P mutant variants destabilize protein structure by changing protein-DNA interface interactions and disruption of hydrogen bonds that may reduce the specificity and affinity of the binding. Further experimental investigations may need to verify whether this kind of structural and functional variations dysregulate protein activities and induce formation of disease.