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Ranganathan, P.

Publications and source records attributed to Ranganathan, P..

5 recordsLinked to original sources

Comparative transcriptome of normal and cancer- associated fibroblasts

The characteristics of a tumor are largely determined by its interaction with the surrounding micro-environment (TME). TME consists of both cellular and non-cellular components. Cancer associated fibroblasts (CAFs) are a major component of the TME. They are a source of many secreted factors that influence the survival and progression of tumors as well as their response to drugs. Identification of markers either overexpressed in CAFs or unique to CAFs would pave the way for novel therapeutic strategies that would combine conventional chemotherapy and TME-targeted therapy for a better outcome. We have used fibroblast derived from Benign Prostatic Hyperplasia (BPH) and prostate cancer to perform a transcriptome analysis in order to get a comparative profile of normal and cancer-associated fibroblasts. This has identified 818 differentially expressed mRNAs and 17 lincRNAs between normal and cancer-associated fibroblasts.

cancer biology↗

Elastohydrodynamic mechanisms govern beat pattern transitions in eukaryotic flagella

Eukaryotic cilia and flagella exhibit complex beating patterns that change depending on environmental conditions such as fluid viscosity. The mechanism behind these beat pattern transitions remains unclear, although they are thought to arise from changes in the internal forcing provided by the axoneme. We show here that such transitions may arise universally across species via an elastohydrodynamic mechanism. We perform simulations of inextensible and unshearable but twistable Kirchhoff rods driven internally by a travelling bending-moment wave in a fixed plane in the material frame of the rods. We show that, for a large range of beating amplitudes and frequencies, the internally planar driving wave results in the growth of twist perturbations. Outside this domain, the driving leads to simple planar waveforms. Within the non-planar domain, we observe quasiplanar, helical, and complex - perhaps chaotic - beating patterns. The transitions between these states depend quantitatively on physical parameters such as the internal forcing, flagellum stiffness and length, viscosity of the ambient medium, or the presence of a plane wall. Beat pattern transitions in our simulations can be mapped to similar transitions observed in bull and sea urchin sperm when the medium viscosity is varied. Comparison of the simulation results with experimentally observed transitional viscosities in our experiments and elsewhere suggests an assay whereby one can estimate the average force exerted by dynein motors. This could potentially lead to diagnostic assays measuring the health of sperm based on their beating pattern. Significance StatementThe ability of flagella and cilia to manipulate their beating waveforms in different physical environments has important implications for human and animal health. Beat transitions in mammalian sperm flagella, for example, may help sperm navigate the complex reproductive tract to reach the egg. Abnormal beating behaviour, which may have a range of unknown underlying causes, can result in ciliopathies and reproductive disorders. This work provides insight into the physical origins of beat transitions in flagella and shows how they depend quantitatively on flagellum stiffness and length, internal driving provided by the axoneme, viscosity of the ambient medium, and the presence of a plane wall. This could allow one to diagnose the root cause of an abnormal flagellar beat and thus design appropriate treatment.

biophysics↗

microRNA profile of endometrial cancer from Indian patients-Identification of potential biomarkers for prognosis

Endometrial cancer is one of the major cancers in women throughout the world. If diagnosed early, these cancers are treatable and the prognosis is usually good. However, one major problem in treating endometrial cancer is accurate diagnosis and staging. Till date, the choice method for diagnosis and staging is histopathology. Although there are few molecular markers identified, they are not always sufficient in making accurate diagnosis and deciding on therapeutic strategy. As a result, very often patients are under treated or over treated. In this study, our group has profiled microRNAs (miRNA) from Indian patients using NGS-based approach. We have identified differentially expressed microRNAs in endometrial cancer. These microRNAs have also been compared to data from TCGA (The Cancer Genome Atlas), which represent other populations and also correlated to relevance in overall survival. Using in-silico approaches, mRNA targets of the miRNAs have been predicted. After comparing with TCGA, we have identified 16 miRNA-mRNA pairs which could be potential prognostic biomarkers for endometrial cancer. This is the first miRNA profiling report from Indian cohort and one of the very few studies which have identified potential biomarkers of prognosis in endometrial cancer.

cancer biology↗

Gene expression signature of castrate resistant prostate cancer

Prostate gland is a highly androgen dependent gland and hence the first line of treatment for metastatic prostate cancer happens to be androgen ablation. This is achieved by multiple non-surgical methods. However, most of these cancers although respond well initially, become resistant to androgen ablation sooner or later. These cancers then become extremely aggressive and difficult to treat, thereby drastically affect the patient prognosis. The purpose of this project was to identify a gene expression signature for castrate resistant prostate cancer which may aid in identification of mechanisms responsible for castrate resistance. For this purpose, we have collected patient samples belonging to a. Control group; b. Castrate Sensitive group and c. Castrate resistant group. Gene expression profiling has been done on these samples using RNA-seq and several differentially expressed genes identified between the castrate sensitive and resistant groups. We have also identified some genes which are expressed in the castrate resistant group alone, which is of interest since these may have an implication in evolution of castrate resistance and also prognosis. We have compared this with data from The Cancer Genome Atlas (TCGA). Using criteria such as overall survival, disease free survival, progression free survival and biochemical recurrence, we have identified genes which may have relevance in progression to castrate resistance and in prognosis. Functional annotation of these genes may give an insight into the mechanism of development of castrate resistance.

cancer biology↗

Experimental investigation of Caenorhabditis elegans motility using micro-PIV

Caenorhabditis elegans is a microscopic nematode used extensively as a model organism in studies of neuromuscular function and neurodegenerative disorders. A mutation in mir-1 affects signalling at the neuromuscular junction. We investigate the effect of this mutation on the propulsive power exerted by nematodes as they grow in size with age. We compare the motility of wild-type and mir-1(gk276) mutant nematodes in a Newtonian fluid using a two-component, two dimensional (2C-2D) Digital Microscopic Particle Image Velocimetry ({micro}-PIV) technique. Beating amplitudes of the head and tail, the wavelength of undulatory waves and the swimming speed scale linearly with size in both the wild-type and mutant strains. The beating frequency is independent of size or position along the body. Differences in the magnitudes of these kinematic parameters between the two strains, however, grow systematically with age. The swimming speed scales linearly with the wave speed of the neuromuscular undulation in both nematode strains with a conserved ratio. The magnitude of mean power and mean local fluid circulation in the mutant is significantly lower compared to those of the wild-type animals of the same age. This indicates that a mutation in mir-1 adversely affects motility in C. elegans.

neuroscience↗