Shiv Nadar University

About: Shiv Nadar University is a education organization based out in Dadri, Uttar Pradesh, India. It is known for research contribution in the topics: Population & Graphene. The organization has 1015 authors who have published 1924 publications receiving 18420 citations.

Abiotic Stress-Responsive miRNA and Transcription Factor-Mediated Gene Regulatory Network in Oryza sativa: Construction and Structural Measure Study.

Abstract: Climate changes and environmental stresses have a consequential association with crop plant growth and yield that raise the necessity to cultivate crops having tolerance towards changing climate and environmental disturbances such as water stress, temperature fluctuation, salt toxicity. Recent studies have shown miRNAs and transcription factors; the trans-acting regulatory elements is emerging as a promising tool for engineering naive improved crop varieties, having tolerance for multiple environmental stresses and enhanced quality as well as yield. However, the interwoven complex regulatory function of transcription factors (TF) and miRNAs at transcriptional and post-transcriptional levels is unexplored in Oryza sativa. To this end, we have constructed multiple abiotic stresses responsive TF-miRNA-gene regulatory network for Oryza sativa using transcriptome and degradome sequencing data meta-analysis approach. The theoretical network approach has shown the networks to be dense, scale-free, and small-world that makes the network stable, invariant to scale change where an efficient, quick transmission of biological signals occurs within the network on extrinsic hindrance. The analysis also deciphered the existence of communities (cluster of TF, miRNA, and genes) working together to help plant in acclimatizing with multiple stresses. It highlighted genes, TFs, and miRNAs shared by multiple stresses conditions that work as a hub or bottlenecks for signal propagation, for example, during interaction between stress-responsive genes (TFs/miRNAs/ other genes) and genes involved in floral development pathways under multiple environmental stresses. Thus, this study further highlights the questions: how the fine-tuning feedback mechanism works for balancing stress tolerance and timely flowering to survive the adverse condition. As a component of this study, we developed the abiotic stress-responsive regulatory network, APRegNet database (http://lms.snu.edu.in/APRegNet), which may help the researchers studying the roles of miRNAs and transcription factors. Furthermore, this study will advance the current understanding of multiple abiotic stress tolerance mechanisms.

Searching for cluster Lego blocks for three-dimensional and two-dimensional assemblies

Abstract: Assemblies of clusters have been sought for a long time to synthesize new materials with unprecedented physical phenomena or to integrate desired functionalities for technological applications. However, except for some carbon fullerenes and ligated clusters, little progress has been made in achieving assemblies of other clusters due to their tendency for agglomeration. Here we study interaction in dimers of 34 well-studied endohedrally doped clusters (i.e., superatoms) and propose the criteria for such superatoms to be potential building blocks in terms of surface coordination, charge state, distribution of the highest occupied molecular orbital, and electronic as well as atomic shell (double-shell) closure. From these results, the endohedrally doped $\mathrm{Ti}@{\mathrm{Ge}}_{16}$ cage cluster stands out as a suitable building block to assemble solids and nanostructures with outstanding stabilities and diverse physical properties. We report here the finding of antiferromagnetic Mott insulator in metal intercalated two-dimensional crystal of such cluster. Our study provides essential knowledge for achieving stable cluster assemblies of different dimensionalities with precisely tailorable electronic structure for device applications.

PVT correlations of Indian crude using support vector regression

Abstract: Correlations for bubble point pressure, solution gas−oil ratio, oil formation volume factor (for both saturated and undersaturated crude) and viscosity (for both saturated and undersaturated crude) have been developed for Indian crude using support vector regression (SVR). Detailed comparisons have been made with various important correlations currently available in the literature. Radial basis function (RBF) kernel was used along with e-insensitive loss function for developing the SVR models. The model hyperparameters were optimized using a combination of grid search and Nelder−Mead simplex algorithm. The quadratic programming (QP) problem resulting from the SVR formulation was solved using sequential minimal optimization (SMO). It was found that the developed models outperformed most other existing correlations by giving significantly lower values of average absolute relative error for the parameters studied. This study shows highly favorable results that can be integrated in most reservoir modeling sof...

Computational identification of novel microRNAs and their targets in the malarial vector, Anopheles stephensi

Abstract: MicroRNAs are a ~22 nucleotide small non-coding RNAs found in animals, plants and viruses. They regulate key cellular processes by enhancing, degrading or silencing protein coding targets. Currently most of the data on miRNA is available from Drosophila . Given their important post-transcriptional role in several organisms, there is a need to understand the miRNA mediated processes in normal and abnormal conditions. Here we report four novel microRNAs ast - mir - 2502, ast - mir - 2559, ast - mir - 3868 and ast - mir - 9891 in Anopheles stephensi identified from a set of 3,052 transcriptome sequences, showing average minimum free energy of −31.8 kcal/mol of duplex formation with mRNA indicating their functional relevance. Phylogenetic study shows conservation of sequence signatures within the Class Insecta. Furthermore, 26 potential targets of these four miRNAs have been predicted that play an important role in the mosquito life-cycle. This work leads to novel leads and experimental possibilities for improved understanding of gene regulatory processes in mosquito.