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Dive into the research topics where Arnab Chakraborty is active.

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Featured researches published by Arnab Chakraborty.


PLOS ONE | 2014

A quest for miRNA bio-marker: a track back approach from gingivo buccal cancer to two different types of precancers.

Navonil De Sarkar; Roshni Roy; Jit Kumar Mitra; Sandip Ghose; Arnab Chakraborty; Ranjan Rashmi Paul; Indranil Mukhopadhyay; Bidyut Roy

Deregulation of miRNA expression may contribute to tumorigenesis and other patho-physiology associated with cancer. Using TLDA, expression of 762 miRNAs was checked in 18 pairs of gingivo buccal cancer-adjacent control tissues. Expression of significantly deregulated miRNAs was further validated in cancer and examined in two types of precancer (leukoplakia and lichen planus) tissues by primer-specific TaqMan assays. Biological implications of these miRNAs were assessed bioinformatically. Expression of hsa-miR-1293, hsa-miR-31, hsa-miR-31* and hsa-miR-7 were significantly up-regulated and those of hsa-miR-206, hsa-miR-204 and hsa-miR-133a were significantly down-regulated in all cancer samples. Expression of only hsa-miR-31 was significantly up-regulated in leukoplakia but none in lichen planus samples. Analysis of expression heterogeneity divided 18 cancer samples into clusters of 13 and 5 samples and revealed that expression of 30 miRNAs (including the above-mentioned 7 miRNAs), was significantly deregulated in the cluster of 13 samples. From database mining and pathway analysis it was observed that these miRNAs can significantly target many of the genes present in different cancer related pathways such as “proteoglycans in cancer”, PI3K-AKT etc. which play important roles in expression of different molecular features of cancer. Expression of hsa-miR-31 was significantly up-regulated in both cancer and leukoplakia tissues and, thus, may be one of the molecular markers of leukoplakia which may progress to gingivo-buccal cancer.


Resonance | 1996

The secretary problem

Arnab Chakraborty

In many spheres of activity, decisions must often be made under uncertain conditions. One such problem relates to selecting a candidate from a known number when: (a) candidates arrive in a sequence; (b) the selection process has to decide on a candidate then and there; (c) the process terminates if a candidate is selected; (d) the process continues if the candidate is not selected. The question is: What is the strategy that maximises the probability of selecting the best candidate? How does one use the ‘scores’ of each of the candidates seen so far to decide if the present candidate must be selected or if the process be continued, in the quest for the best candidate? This is the problem ofoptimal stopping, an example of which is discussed here.


Resonance | 2002

Markov Chain Monte Carlo: A method of simulation

Arnab Chakraborty

We describe the mathematics behind the Markov Chain Monte Carlo method of simulation.


PLOS ONE | 2018

Amelioration of CCl4 induced liver injury in swiss albino mice by antioxidant rich leaf extract of Croton bonplandianus Baill.

Somit Dutta; Arnab Chakraborty; Priyankar Dey; Pallab Kar; Pokhraj Guha; Subhajit Sen; Anoop Kumar; Arnab Sen; Tapas Kumar Chaudhuri

The progress in industrialization has blessed mankind with a technologically superior lifestyle but poor management of industrial waste has in turn poisoned nature. One such chemical is carbon tetra chloride (CCl4), which is a potent environmental toxin emitted from chemical industries and its presence in the atmosphere is increasing at an alarming rate. Presence of CCl4 in human body is reported to cause liver damage through free radical mediated inflammatory processes. Kupffer cells present in the liver are potentially more sensitive to oxidative stress than hepatocytes. Kuffer cells produced tumor necrosis factor-α (TNF-α) in response to reactive oxygen species (ROS), that might further cause inflammation or apoptosis. In this study hepatoprotective capacity of antioxidant rich extract of Croton bonplandianus Baill. (CBL) was evaluated on CCl4 induced acute hepatotoxicity in murine model. Hydro-methanolic extract of C. bonplandianus leaf was used for evaluation of free radical scavenging activity. Liver cells of experimental mice were damaged using CCl4 and subsequently hepatoprotective potential of the plant extract was evaluated using series of in-vivo and in-vitro studies. In the hepatoprotective study, silymarin was used as a positive control. Antioxidant enzymes, pro-inflammatory markers, liver enzymatic and biochemical parameters were studied to evaluate hepatoprotective activity of Croton bonplandianus leaf extract. Free radical scavenging activity of CBL extract was also observed in WRL-68 cell line. The phytochemicals identified by GCMS analysis were scrutinized using in-silico molecular docking procedure. The results showed that CBL extract have potent free radical scavenging capacity. The biochemical parameters were over expressed due to CCl4 administration, which were significantly normalized by CBL extract treatment. This finding was also supported by histopathological evidences showing less hepatocellularnecrosis, inflammation and fibrosis in CBL and silymarin treated group, compared to CCl4 group. ROS generated due to H2O2 in WRL-68 cell line were normalize in the highest group (200 μg/ml) when compared with control and negative control (CCl4) group. After molecular docking analysis, it was observed that the compound α-amyrin present in the leaf extract of C. bonplandianus has better potentiality to protect hepatocellular damages than the standard drug Silymarin. The present study provided supportive evidence that CBL extract possesses potent hepatoprotective capacity by ameliorating haloalkane induced liver injury in the murine model. The antioxidant and anti-inflammatory activities also affirm the same. The synergistic effects of the phytochemicals present in CBL are to be credited for all the hepatoprotective activity claimed above.


Computational Statistics | 2017

Use of EM algorithm for data reduction under sparsity assumption

Atanu Kumar Ghosh; Arnab Chakraborty


Computational Statistics | 2006

Generating multivariate correlated samples

Arnab Chakraborty


arXiv: Methodology | 2018

Data Reduction in Markov model using EM algorithm

Atanu Kumar Ghosh; Arnab Chakraborty


arXiv: Methodology | 2014

Compressive Sampling Using EM Algorithm.

Atanu Kumar Ghosh; Arnab Chakraborty


PLOS ONE | 2014

Forest plot showing expression variability of 8 miRNAs.

Navonil De Sarkar; Roshni Roy; Jit Kumar Mitra; Sandip Ghose; Arnab Chakraborty; Ranjan Rashmi Paul; Indranil Mukhopadhyay; Bidyut Roy


arXiv: Quantum Physics | 2011

QuECT: A New Quantum Programming Paradigm

Arnab Chakraborty

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Atanu Kumar Ghosh

Indian Statistical Institute

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Bidyut Roy

Indian Statistical Institute

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Jit Kumar Mitra

Indian Statistical Institute

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Navonil De Sarkar

Indian Statistical Institute

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Roshni Roy

Indian Statistical Institute

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Arnab Sen

University of North Bengal

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Pallab Kar

University of North Bengal

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Pokhraj Guha

University of North Bengal

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Priyankar Dey

University of North Bengal

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