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Showing papers by "Sudip Kundu published in 2018"


Journal ArticleDOI
TL;DR: The influence of native topology of monomeric and sequestration of oligomeric proteins into multimeric complexes in yeast, human, and mouse is assessed to find additional structural constraints that regulate protein half-life in the cell.

22 citations


Journal ArticleDOI
TL;DR: A structural metabolic model is created that contains the reactions that participate in photorespiration in the plastid, peroxisome, mitochondrion and cytosol, and the metabolite exchanges between them, and provides a formal demonstration that photoreSpiration itself does not impact on the CO2 :O2 ratio (assimilation quotient), except in those modes associated with concomitant nitrate reduction.
Abstract: Analysis of the impact of photorespiration on plant metabolism is usually based on manual inspection of small network diagrams. Here we create a structural metabolic model that contains the reactions that participate in photorespiration in the plastid, peroxisome, mitochondrion and cytosol, and the metabolite exchanges between them. This model was subjected to elementary flux modes analysis, a technique that enumerates all the component, minimal pathways of a network. Any feasible photorespiratory metabolism in the plant will be some combination of the elementary flux modes (EFMs) that contain the Rubisco oxygenase reaction. Amongst the EFMs we obtained was the classic photorespiratory cycle, but there were also modes that involve photorespiration coupled with mitochondrial metabolism and ATP production, the glutathione-ascorbate cycle and nitrate reduction to ammonia. The modes analysis demonstrated the underlying basis of the metabolic linkages with photorespiration that have been inferred experimentally. The set of reactions common to all the elementary modes showed good agreement with the gene products of mutants that have been reported to have a defective phenotype in photorespiratory conditions. Finally, the set of modes provided a formal demonstration that photorespiration itself does not impact on the CO2 :O2 ratio (assimilation quotient), except in those modes associated with concomitant nitrate reduction.

12 citations


Journal ArticleDOI
TL;DR: This strategy not only identifies various regulatory interactions connecting phenotypic changes with cellular or molecular events triggered by stress, but also provides a framework to deepen the understanding of stress cellular physiology.
Abstract: Plant microRNAs (miRNAs) and their target genes have important functional roles in nutrition deficiency and stress response However, the underlying mechanisms relating relative expression of miRNAs and target mRNAs to morphological adjustments are not well defined By combining miRNA expression profiles, corresponding target genes and transcription factors that bind to computationally identified over-represented cis-regulatory elements (CREs) common in miRNAs and target gene promoters, we implement a strategy that identifies a set of differentially expressed regulatory interactions which, in turn, relate underlying cellular mechanisms to some of the phenotypic changes observed Integration of experimentally reported individual interactions with identified regulatory interactions explains how (i) during mineral deficiency osa-miR167 inhibits shoot growth but activates adventitious root growth by influencing free auxin content; (ii) during sulfur deficiency osa-miR394 is involved in adventitious root growth inhibition, sulfur and iron homeostasis, and auxin-mediated regulation of sulfur homeostasis; (iii) osa-miR399 contributes to cross-talk between cytokinin and phosphorus deficiency signaling; and (iv) a feed-forward loop involving the osa-miR166, trihelix and HD-ZIP III transcription factors may regulate leaf senescence during drought This strategy not only identifies various regulatory interactions connecting phenotypic changes with cellular or molecular events triggered by stress, but also provides a framework to deepen our understanding of stress cellular physiology

10 citations


Journal ArticleDOI
TL;DR: Recent researches identified miRNAs in plants and human secretions and their role in regulating the human genes indicate the therapeutic role of secretory miRNAAs of such plants which exhibits medicinal value and in near future many diseases may be treated by consumption of these plant mi RNAs through food.
Abstract: Growing evidences suggest that microRNAs (miRNAs) can efficiently regulate gene expression at intracellular and extracellular levels. It has been previously reported that plant/food-derived miRNAs are highly enriched in human serum or serum from phytophagous animals, and they are responsible for regulating mammalian gene expression. Thus, miRNAs could function as active signaling molecules, which carry information across distinct species or even kingdoms. However, the mode of miRNA shuttling among various organisms is still a mystery to unravel. The intra and inter kingdom miRNA transfer has boosted up the hypothesis about the potential impact of plant or animal miRNAs on each other. To our knowledge, the software for analyzing cross-kingdom miRNA-targets is lacking. We have developed a web-tool “IIKmTA: Inter and Intra Kingdom miRNA-Target Analyzer” utilizing a database; the data of which have been collected from another web server. Here, user can analyze the targeting potential of (i) plant miRNAs on animal UTRs (Untranslated regions), and vice versa (i.e., inter kingdom), (ii) plant miRNAs on plant UTRs and animal miRNAs on animal UTRs (i.e., intra kingdom). Further, user can analyze (i) miRNAs to targets, (ii) targets to miRNAs, and (iii) miRNA sets targeting sets of targets. For a wide variety of animal and plant species, IIKmTA can identify the miRNA binding sites in the probable target UTRs. Moreover, GC% and AU% of miRNAs will be calculated. All the results can be saved as .csv file. Recent researches identified miRNAs in plants and human secretions and their role in regulating the human genes. Such findings indicate the therapeutic role of secretory miRNAs of such plants which exhibits medicinal value and in near future many diseases may be treated by consumption of these plant miRNAs through food. Using our newly developed database and analyzing tool, one can easily determine the different relationships between miRNAs and their targets across kingdoms. IIKmTA is freely available at http://www.bioinformatics.org/iikmta/ .

7 citations



Journal ArticleDOI
06 May 2018-Proteins
TL;DR: A model case is depicted, where translational regulation drives characteristic residue‐level epistasis—not only between a protein and its own mRNA but also between aprotein and the mRNA of an entirely different protein.
Abstract: Do coding and regulatory segments of a gene co-evolve with each-other? Seeking answers to this question, here we analyze the case of Escherichia coli ribosomal protein S15, that represses its own translation by specifically binding its messenger RNA (rpsO mRNA) and stabilizing a pseudoknot structure at the upstream untranslated region, thus trapping the ribosome into an incomplete translation initiation complex. In the absence of S15, ribosomal protein S1 recognizes rpsO and promotes translation by melting this very pseudoknot. We employ a robust statistical method to detect signatures of positive epistasis between residue site pairs and find that biophysical constraints of translational regulation (S15-rpsO and S1-rpsO recognition, S15-mediated rpsO structural rearrangement, and S1-mediated melting) are strong predictors of positive epistasis. Transforming the epistatic pairs into a network, we find that signatures of two different, but interconnected regulatory cascades are imprinted in the sequence-space and can be captured in terms of two dense network modules that are sparsely connected to each other. This network topology further reflects a general principle of how functionally coupled components of biological networks are interconnected. These results depict a model case, where translational regulation drives characteristic residue-level epistasis-not only between a protein and its own mRNA but also between a protein and the mRNA of an entirely different protein.

1 citations