A tale of two waves: Delineating diverse genomic and transmission landscapes driving the COVID-19 pandemic in Pune, India.

BACKGROUND: Modern response to pandemics, critical for effective public health measures, is shaped by the availability and integration of diverse epidemiological outbreak data. Tracking variants of concern (VOC) is integral to understanding the evolution of SARS-CoV-2 in space and time, both at the local level and global context. This potentially generates actionable information when integrated with epidemiological outbreak data. METHODS: A city-wide network of researchers, clinicians, and pathology diagnostic laboratories was formed for genome surveillance of COVID-19 in Pune, India. The genomic landscapes of 10,496 sequenced samples of SARS-CoV-2 driving peaks of infection in Pune between December-2020 to March-2022, were determined. As a modern response to the pandemic, a "band of five" outbreak data analytics approach was used. This integrated the genomic data (Band 1) of the virus through molecular phylogenetics with key outbreak data including sample collection dates and case numbers (Band 2), demographics like age and gender (Band 3-4), and geospatial mapping (Band 5). RESULTS: The transmission dynamics of VOCs in 10,496 sequenced samples identified B.1.617.2 (Delta) and BA(x) (Omicron formerly known as B.1.1.529) variants as drivers of the second and third peaks of infection in Pune. Spike Protein mutational profiling during pre and post-Omicron VOCs indicated differential rank ordering of high-frequency mutations in specific domains that increased the charge and binding properties of the protein. Time-resolved phylogenetic analysis of Omicron sub-lineages identified a highly divergent BA.1 from Pune in addition to recombinant X lineages, XZ, XQ, and XM. CONCLUSIONS: The band of five outbreak data analytics approach, which integrates five different types of data, highlights the importance of a strong surveillance system with high-quality meta-data for understanding the spatiotemporal evolution of the SARS-CoV-2 genome in Pune. These findings have important implications for pandemic preparedness and could be critical tools for understanding and responding to future outbreaks.

A genome-wide expression profile of noncoding RNAs in human osteosarcoma cells as they acquire resistance to cisplatin.

BACKGROUND: Recurrence after cisplatin therapy is one of the major hindrances in the management of cancer. This necessitates a deeper understanding of the molecular signatures marking the acquisition of resistance. We therefore modeled the response of osteosarcoma (OS) cells to the first-line chemotherapeutic drug cisplatin. A small population of nondividing cells survived acute cisplatin shock (persisters; OS-P). These cells regained proliferative potential over time re-instating the population again (extended persisters; OS-EP). RESULT: In this study, we present the expression profile of noncoding RNAs in untreated OS cells (chemo-naive), OS-P, OS-EP and drug-resistant (OS-R) cells derived from the latter. RNA sequencing was carried out, and thereafter, differential expression (log2-fold ± 1.5; p value ≤ 0.05) of microRNAs (miRNAs) was analyzed in each set. The core set of miRNAs that were uniquely or differentially expressed in each group was identified. Interestingly, we observed that most of each group had their own distinctive set of miRNAs. The miRNAs showing an inverse correlation in expression pattern with mRNAs were further selected, and the key pathways regulated by them were delineated for each group. We observed that pathways such as TNF signaling, autophagy and mitophagy were implicated in multiple groups. CONCLUSION: To the best of our knowledge, this is the first study that provides critical information on the variation in the expression pattern of ncRNAs in osteosarcoma cells and the pathways that they might tightly regulate as cells acquire resistance.

Common and Unique microRNAs in Multiple Carcinomas Regulate Similar Network of Pathways to Mediate Cancer Progression.

Cancer is a complex disease with a fatal outcome. Early detection of cancer, by monitoring appropriate molecular markers is very important for its therapeutic management. In this regard, the short non-coding RNA molecules, microRNAs (miRNAs) have shown great promise due to their availability in circulating fluids facilitating non-invasive detection of cancer. In this study, an in silico comparative analysis was performed to identify specific signature miRNAs dysregulated across multiple carcinomas and simultaneously identify unique miRNAs for each cancer type as well. The miRNA-seq data of cancer patient was obtained from GDC portal and their differential expressions along with the pathways regulated by both common and unique miRNAs were analyzed. Our studies show twelve miRNAs commonly dysregulated across seven different cancer types. Interestingly, four of those miRNAs (hsa-mir-210, hsa-mir-19a, hsa-mir-7 and hsa-mir-3662) are already reported as circulatory miRNAs (circRNAs); while, the miR-183 cluster along with hsa-mir-93 have been found to be incorporated in exosomes signifying the importance of the identified miRNAs for their use as prospective, non-invasive biomarkers. Further, the target mRNAs and pathways regulated by both common and unique miRNAs were analyzed, which interestingly had significant commonality. This suggests that miRNAs that are commonly de-regulated and specifically altered in multiple cancers might regulate similar pathways to promote cancer. Our data is of significance because we not only identify a set of common and unique miRNAs for multiple cancers but also highlight the pathways regulated by them, which might facilitate the development of future non-invasive biomarkers conducive for early detection of cancers.

Transcriptomic analysis associated with reversal of cisplatin sensitivity in drug resistant osteosarcoma cells after a drug holiday.

BACKGROUND: Resistance to chemotherapy is one of the major hurdles in current cancer therapy. With the increasing occurrence of drug resistance, a paradigm shift in treatment strategy is required. Recently "medication vacation" has emerged as a unique, yet uncomplicated strategy in which withdrawal of drug pressure for certain duration allowed tumor cells to regain sensitivity to the drug. However, little is known about the molecular alterations associated with such an outcome. METHODS: In this study, human osteosarcoma (OS) cells resistant to the extensively used drug cisplatin, were withdrawn from drug pressure, and thereafter cytotoxic response of the cells to the drug was evaluated. We further performed next-generation RNA sequencing and compared transcriptome between parental (OS), resistant (OS-R) and the drug withdrawn (OS-DW) cells. Differentially expressed transcripts were identified, and biological association network (BAN), gene ontology (GO) and pathway enrichment analysis of the differentially regulated transcripts were performed to identify key events associated with withdrawal of drug pressure. RESULTS: Following drug withdrawal, the sensitivity of the cells to the drug was found to be regained. Analysis of the expression profile showed that key genes like, IRAK3, IL6ST, RELA, AKT1, FKBP1A and ADIPOQ went significantly down in OS-DW cells when compared to OS-R. Also, genes involved in Wnt signaling, PI3K-Akt, Notch signaling, and ABC transporters were drastically down-regulated in OS-DW cells compared to OS-R. Although, a very small subset of genes maintained similar expression pattern between OS, OS-R and OS-DW, nonetheless majority of the transcriptomic pattern of OS-DW was distinctively different and unique in comparison to either the drug sensitive OS or drug resistant OS-R cells. CONCLUSION: Our data suggests that though drug withdrawal causes reversal of sensitivity, the transcriptomic pattern does not necessarily show significant match with resistant or parental control cells. We strongly believe that exploration of the molecular basis of drug holiday might facilitate additional potential alternative treatment options for aggressive and resistant cancers.

Drug Tolerant Cells: An Emerging Target With Unique Transcriptomic Features.

Long-term outcome of cancer therapy is often severely perturbed by the acquisition of drug resistance. Recent evidence point toward the survival of a subpopulation of tumor cells under acute drug stress that over time can re-populate the tumor. These transiently existing, weakly proliferative, drug-tolerant cells facilitate tumor cell survival until more stable resistance mechanisms are acquired. From a therapeutic perspective, understanding the molecular features of the tolerant cells is critical to attenuation of resistance. In this article, we discuss the transcriptomic features of drug-tolerant osteosarcoma cells that survive a high dose of cisplatin shock. We present the unique transcriptome of the minimally dividing tolerant cells in comparison with the proliferative persisters or resistant cells derived from the tolerant cells. Targeting the tolerant cells can represent an efficient therapeutic strategy impeding tumor recurrence.

Dysregulated expression but redundant function of the long non-coding RNA HOTAIR in diabetic kidney disease.

AIMS/HYPOTHESIS: Long non-coding RNAs (lncRNAs) are garnering increasing attention for their putative roles in the pathogenesis of chronic diseases, including diabetic kidney disease (DKD). However, much about in vivo lncRNA functionality in the adult organism remains unclear. To better understand lncRNA regulation and function in DKD, we explored the effects of the modular scaffold lncRNA HOTAIR (HOX antisense intergenic RNA), which approximates chromatin modifying complexes to their target sites on the genome. METHODS: Experiments were performed in human kidney tissue, in mice with streptozotocin-induced diabetes, the db/db mouse model of type 2 diabetes, podocyte-specific Hotair knockout mice and conditionally immortalised mouse podocytes. RESULTS: HOTAIR was observed to be expressed by several kidney cell-types, including glomerular podocytes, in both human and mouse kidneys. However, knockout of Hotair from podocytes had almost no effect on kidney structure, function or ultrastructure. Glomerular HOTAIR expression was found to be increased in human DKD, in the kidneys of mice with streptozotocin-induced diabetes and in the kidneys of db/db mice. Likewise, exposure of cultured mouse podocytes to high glucose caused upregulation of Hotair expression, which occurred in a p65-dependent manner. Although HOTAIR expression was upregulated in DKD and in high glucose-exposed podocytes, its knockout did not alter the development of kidney damage in diabetic mice. Rather, in a bioinformatic analysis of human kidney tissue, HOTAIR expression closely paralleled the expression of its genic neighbour, HOXC11, which is important to developmental patterning but which has an uncertain role in the adult kidney. CONCLUSIONS/INTERPRETATION: Many lncRNAs have been found to bind to the same chromatin modifying complexes. Thus, there is likely to exist sufficient redundancy in the system that the biological effects of dysregulated lncRNAs in kidney disease may often be inconsequential. The example of the archetypal scaffold lncRNA, HOTAIR, illustrates how lncRNA dysregulation may be a bystander in DKD without necessarily contributing to the pathogenesis of the condition. In the absence of in vivo validation, caution should be taken before ascribing major functional roles to single lncRNAs in the pathogenesis of chronic diseases.

A global transcriptomic pipeline decoding core network of genes involved in stages leading to acquisition of drug-resistance to cisplatin in osteosarcoma cells.

MOTIVATION: Traditional cancer therapy is focused on eradicating fast proliferating population of tumor cells. However, existing evidences suggest survival of sub-population of cancer cells that can resist chemotherapy by entering a 'persister' state of minimal growth. These cells eventually survive to produce cells resistant to drugs. The identifying of appropriate targets that can eliminate the drug-tolerant 'persisters' remains a challenge. Hence, a deeper understanding of the distinctive genetic signatures that lead to resistance is of utmost importance to design an appropriate therapy. RESULTS: In this study, deep-sequencing of mRNA was performed in osteosarcoma (OS) cells, exposed to the widely used drug, cisplatin which is an integral part of current treatment regime for OS. Transcriptomic analysis was performed in (i) untreated OS; (ii) persister sub-population of cells post-drug shock; (iii) cells which evade growth bottleneck and (iv) drug-resistant cells obtained after several rounds of drug shock and revival. The transcriptomic signatures and pathways regulated in each group were compared; the transcriptomic pipeline to the acquisition of resistance was analyzed and the core network of genes altered during the process was delineated. Additionally, our transcriptomic data were compared with OS patient data obtained from Gene Ontology Omnibus. We observed a sub-set of genes to be commonly expressed in both data sets with a high correlation (0.81) in expression pattern. To the best of our knowledge, this study is uniquely designed to understand the series of genetic changes leading to the emergence of drug-resistant cells, and implications from this study have a potential therapeutic impact. AVAILABILITY AND IMPLEMENTATION: All raw data can be accessed from GEO database (https://www.ncbi.nlm.nih.gov/geo/) under the GEO accession number GSE86053. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.