Institution
Jawaharlal Nehru University
Education•New Delhi, India•
About: Jawaharlal Nehru University is a education organization based out in New Delhi, India. It is known for research contribution in the topics: Population & Politics. The organization has 6082 authors who have published 13455 publications receiving 245407 citations. The organization is also known as: JNU.
Topics: Population, Politics, Gene, Candida albicans, Computer science
Papers published on a yearly basis
Papers
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TL;DR: The in silico characterisation of MFS transporters in Candida albicans genome revealed a large complement of M FS transporter with most of them showing expression.
Abstract: Background
The major facilitator superfamily (MFS) is one of the two largest superfamilies of membrane transporters present ubiquitously in bacteria, archaea, and eukarya and includes members that function as uniporters, symporters or antiporters. We report here the complete transportome of MFS proteins of a human pathogenic yeast Candida albicans.
93 citations
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TL;DR: Inverse distance weighted spatial interpolation technique was used for generation of pollution potentiality map of the area and Agglomerative Cluster Analysis (CA) was performed for delineating and grouping the similar pollution causing areas.
Abstract: River water quality has gained significance as river water is being contaminated due to various human activities and it needs attention to ensure sustainable safe use. Geographical Information System (GIS) and Water Quality Index (WQI), which synthesize different available water quality data into an easily understood format, provide a way to summarize overall water quality conditions in a manner that can be clearly communicated to policy makers. Physicochemical analysis data of various water samples collected at different locations forms the quality database for the study. WQI was then calculated to find the suitability of water for drinking purpose. Inverse distance weighted spatial interpolation technique was used for generation of pollution potentiality map of the area. Agglomerative Cluster Analysis (CA) was performed for delineating and grouping the similar pollution causing areas. The overall view of the water quality index of the present study area revealed that most of the study area comes under highly to very highly polluted zone.
93 citations
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TL;DR: This review looks into various responses at cellular and whole plant level generated in rice plants toward salinity stress thus, evaluating the suitability of intervention of functional genomics to raise stress tolerant plants.
Abstract: Soil salinity is one of the main constraints affecting production of rice worldwide, by reducing growth, pollen viability as well as yield of the plant. Therefore, detailed understanding of the response of rice towards soil salinity at the physiological and molecular level is a prerequisite for its effective management. Various approaches have been adopted by molecular biologists or breeders to understand the mechanism for salinity tolerance in plants and to develop salt tolerant rice cultivars. Genome wide analysis using ‘omics-based’ tools followed by identification and functional validation of individual genes is becoming one of the popular approaches to tackle this task. On the other hand, mutation breeding and insertional mutagenesis has also been exploited to obtain salinity tolerant crop plants. This review looks into various responses at cellular and whole plant level generated in rice plants towards salinity stress thus, evaluating the suitability of intervention of functional genomics to raise stress tolerant plants. We have tried to highlight the usefulness of the contemporary ‘omics-based’ approaches such as genomics, proteomics, transcriptomics and phenomics towards dissecting out the salinity tolerance trait in rice. In addition, we have highlighted the importance of integration of various ‘omics’ approaches to develop an understanding of the machinery involved in salinity response in rice and to move forward to develop salt tolerant cultivars of rice.
93 citations
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TL;DR: In this paper, Schwertmannite was incorporated onto graphene oxide to form nanocomposites (GO-SCH) to serve as an adsorbent for Sb(V) removal.
93 citations
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TL;DR: This study reveals miR-191 as an estrogen-inducible onco-miR in breast cancer, which promotes several hallmarks of cancer including enhanced cell proliferation, migration, chemoresistance and survival in tumor microenvironment.
Abstract: Estrogen- and microRNA-mediated gene regulation play a crucial role in breast cancer biology. However, a functional link between the two major players remains unclear. This study reveals miR-191 as an estrogen-inducible onco-miR in breast cancer, which promotes several hallmarks of cancer including enhanced cell proliferation, migration, chemoresistance and survival in tumor microenvironment. miR-191 is a direct estrogen receptor (ER) target and our results suggest existence of a positive regulatory feedback loop. We show miR-191 as critical mediator of estrogen-mediated cell proliferation. Investigations of mechanistic details of miR-191 functions identify several cancer-related genes like BDNF, CDK6 and SATB1 as miR-191 targets. miR-191 and SATB1 show inverse correlation of expression. miR-191-mediated enhanced cell proliferation and migration are partly dependent on targeted downregulation of SATB1. Further, functional validation of estrogen:miR-191:SATB1 link suggests a cascade initiated by estrogen that induces miR-191 in ER-dependent manner to target SATB1, a global chromatin remodeler, thereby contributing to estrogen-specific gene signature to regulate genes like ANXA1, PIWIL2, CASP4, ESR1/ESR2, PLAC1 and SOCS2 involved in breast cancer progression and migration. Overall, the identification of estrogen/ER/miR-191/SATB1 cascade seems to be a significant pathway in estrogen signaling in breast cancer with miR-191 as oncogenic player.
93 citations
Authors
Showing all 6255 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ashok Kumar | 151 | 5654 | 164086 |
Rajesh Kumar | 149 | 4439 | 140830 |
Sanjay Gupta | 99 | 902 | 35039 |
Rakesh Kumar | 91 | 1959 | 39017 |
Praveen Kumar | 88 | 1339 | 35718 |
Rajendra Prasad | 86 | 945 | 29526 |
Mukesh K. Jain | 85 | 539 | 27485 |
Shiv Kumar Sarin | 84 | 740 | 28368 |
Gaurav Sharma | 82 | 1244 | 31482 |
Santosh Kumar | 80 | 1196 | 29391 |
Dinesh Mohan | 79 | 283 | 35775 |
Govindjee | 76 | 426 | 21800 |
Dipak K. Das | 75 | 327 | 17708 |
Amit Verma | 70 | 497 | 16162 |
Manoj Kumar | 65 | 408 | 16838 |