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Indranil Banerjee

Publications and source records attributed to Indranil Banerjee.

3 recordsLinked to original sources

Monitoring Influenza A Virus Entry Using Quantitative Fluorescence Microscopy.

Influenza A virus (IAV) is a major threat to global human health and is a topic of intense research. With the continuous problem of seasonal influenza and the threat of potential pandemics due to frequent emergence of new viral strains, development of new, broad-spectrum antivirals is an urgent priority. In antiviral development against influenza, the process of host cell entry of IAV is of particular interest as inhibiting the virus at the entry step should stop infection early on, blocking the downstream infection processes including viral replication and transcription. Therefore, a detailed understanding of the IAV entry processes is essential to illuminate virus-assisting host factors that can serve as potentially valuable targets for therapeutic interventions. To accelerate the identification of novel antivirals or host-directed targets that play essential role in IAV entry, quantitative assays that can be used to monitor the virus at sequential entry steps would be important for performing high-content genetic or inhibitor screens. In this chapter, we describe how IAV entry can be monitored at the sequential entry steps, spanning from the initial attachment of the virus particle to the cell surface to the transmission of the viral genome to the nucleus, by fluorescence microscopy. Further, we provide the methods to quantify the images acquired with high-content microscope for each of the major IAV entry steps. The fluorescence microscopy-based IAV entry assays and the image quantification methods described here can be used to boost our understanding of the virus-host cell interactions and can lead to the discovery of novel host-directed prophylactic or therapeutic interventions.

Humans↗

Association of gene polymorphism with genetic susceptibility to stroke in Asian populations: a meta-analysis.

Stroke is a heterogeneous multifactorial disease and is thought to have a polygenic basis. Case-control studies on gene sequence variations have identified a number of potential genetic predisposition factors, but due to the conflicting results, uncertainty remains on the effect of these polymorphisms on risk for the development of stroke. To qualitatively and quantitatively assess the risk associated with different gene polymorphisms for stroke in Asian populations, we comprehensively searched and identified all the studies of association. Clinically overt case-control studies were selected only if neuroimaging had been used as the confirmatory measure for diagnosis of stroke. We performed a meta-analysis of the three most investigated genes, viz., methylenetetrahydrofolate reductase (MTHFR), apolipoprotein E (ApoE) and angiotensin-converting enzyme (ACE). Statistically significant association with stroke were identified for C677T polymorphism of MTHFR [random effects odds ratio (OR) = 1.47, 95% confidence interval (95% CI) 1.19, 1.82; P = 0.0004] and marginally significant association was detected with allele epsilon 4 of ApoE (random effects OR = 1.47, 95% CI 1.00, 2.15; P = 0.049). The sensitivity analysis (exclusion of studies with controls not in Hardy-Weinberg equilibrium) revealed a significant association of stroke with the MTHFR C677T and ApoE epsilon 4 alleles but showed no association with ACE gene insertion/deletion polymorphism.

Adult↗