Biology subjects

Hanif, A.

Publications and source records attributed to Hanif, A..

3 recordsLinked to original sources

bioRxiv2020

Transcription Factors STAT5A and SPI1 Reveals RHBDD2 as a Potential Biomarker in Sepsis and Septic Shock

Sepsis is a serious health situation caused by uncontrolled infection and septic shock is a severe condition of sepsis. RHBDD2 is a member of the rhomboid superfamily which is overexpressed in different types of cancer and associated with ER stress and estrogen receptor. Using microarray gene expression data and using different computational techniques this study investigated the role of RHBDD2 in sepsis and septic shock. Finds functional annotation of RHBDD2 using co-expression analysis and identified the deregulation of RHBDD2 in sepsis using differential expression analysis. Results show that RHBDD2 is overexpressed in sepsis and septic shock. The GO enrichment analysis, KEGG pathways, and biological functions of the RHBDD2 co-expressed genes module show that it is involved in most of the sepsis-related biological functions and also plays a role in most of the infection-related pathways which lead to sepsis and septic shock. RHBDD2 is regulated by STAT5A and SPI1 transcription factors in sepsis and septic shock. The identification of the RHBDD2 as a biomarker may facilitate in septic shock diagnosis, treatment, and prognosis.

bioinformatics↗

bioRxiv2020

Insights into molecular evolution recombination of pandemic SARS-CoV-2 using Saudi Arabian sequences

The recently emerged SARS-CoV-2 (Coronaviridae; Betacoronavirus) is the underlying cause of COVID-19 disease. Here we assessed SARS-CoV2 from the Kingdom of Saudi Arabia alongside sequences of SARS-CoV, bat SARS-like CoVs and MERS-CoV, the latter currently detected in this region. Phylogenetic analysis, natural selection investigation and genome recombination analysis were performed. Our analysis showed that all Saudi SARS-CoV-2 sequences are of the same origin and closer proximity to bat SARS-like CoVs, followed by SARS-CoVs, however quite distant to MERS-CoV. Moreover, genome recombination analysis revealed two recombination events between SARS-CoV-2 and bat SARS-like CoVs. This was further assessed by S gene recombination analysis. These recombination events may be relevant to the emergence of this novel virus. Moreover, positive selection pressure was detected between SARS-CoV-2, bat SL-CoV isolates and human SARS-CoV isolates. However, the highest positive selection occurred between SARS-CoV-2 isolates and 2 bat-SL-CoV isolates (Bat-SL-RsSHC014 and Bat-SL-CoVZC45). This further indicates that SARS-CoV-2 isolates were adaptively evolved from bat SARS-like isolates, and that a virus with originating from bats triggered this pandemic. This study thuds sheds further light on the origin of this virus. AUTHOR SUMMARYThe emergence and subsequent pandemic of SARS-CoV-2 is a unique challenge to countries all over the world, including Saudi Arabia where cases of the related MERS are still being reported. Saudi SARS-CoV-2 sequences were found to be likely of the same or similar origin. In our analysis, SARS-CoV-2 were more closely related to bat SARS-like CoVs rather than to MERS-CoV (which originated in Saudi Arabia) or SARS-CoV, confirming other phylogenetic efforts on this pathogen. Recombination and positive selection analysis further suggest that bat coronaviruses may be at the origin of SARS-CoV-2 sequences. The data shown here give hints on the origin of this virus and may inform efforts on transmissibility, host adaptation and other biological aspects of this virus.

microbiology↗

bioRxiv2017

Copy-number signatures and mutational processes in ovarian carcinoma

Tumours with profound copy-number aberration elude molecular stratification due to their genomic complexity. By representing this complexity as a mixture of copy-number signatures, we provide molecular explanations for differing clinical outcomes. Here we present a method for copy-number signature identification, deriving eight signatures in 117 shallow whole-genome sequenced high-grade serous ovarian cancers (HGSOC), which validated on independent cohorts of 95 deep whole-genome sequenced, and 402 SNP array-profiled cases. Three copy-number signatures predicted longer overall survival, while the others predicted poorer outcome. We found evidence for the mutational processes giving rise to copy-number change for six of the eight signatures via correlations with other genomic features. Our results provide insights into the pathogenesis of HGSOC by uncovering multiple mutational processes that shape genomes following TP53 mutation. Importantly, our work shows that most HGSOC have a mixture of mutational processes suggesting that targeting a single mutator phenotype may be therapeutically suboptimal.

cancer biology↗