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Bioinformatics tools have facilitated the reconstruction and analysis of cellular metabolism of various organisms based on information encoded in their genomes. Characterization of cellular metabolism is useful to understand the phenotypic capabilities of these organisms. It has been done quantitatively through the analysis of pathway operations. There are several in silico approaches for analyzing metabolic networks, including structural and stoichiometric analysis, metabolic flux analysis, metabolic control analysis, and several kinetic modeling based analyses. They can serve as a virtual laboratory to give insights into basic principles of cellular functions. This article summarizes the progress and advances in software and algorithm development for metabolic network analysis, along with their applications relevant to cellular physiology, and metabolic engineering with an emphasis on microbial strain optimization. Moreover, it provides a detailed comparative analysis of existing approaches under different categories. 相似文献
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Namrata Tomar Olivia Choudhury Ankush Chakrabarty Rajat K. De 《Molecular biology reports》2013,40(2):1103-1125
Biochemical networks comprise many diverse components and interactions between them. It has intracellular signaling, metabolic and gene regulatory pathways which are highly integrated and whose responses are elicited by extracellular actions. Previous modeling techniques mostly consider each pathway independently without focusing on the interrelation of these which actually functions as a single system. In this paper, we propose an approach of modeling an integrated pathway using an event-driven modeling tool, i.e., Petri nets (PNs). PNs have the ability to simulate the dynamics of the system with high levels of accuracy. The integrated set of signaling, regulatory and metabolic reactions involved in Saccharomyces cerevisiae’s HOG pathway has been collected from the literature. The kinetic parameter values have been used for transition firings. The dynamics of the system has been simulated and the concentrations of major biological species over time have been observed. The phenotypic characteristics of the integrated system have been investigated under two conditions, viz., under the absence and presence of osmotic pressure. The results have been validated favorably with the existing experimental results. We have also compared our study with the study of idFBA (Lee et al., PLoS Comput Biol 4:e1000–e1086, 2008) and pointed out the differences between both studies. We have simulated and monitored concentrations of multiple biological entities over time and also incorporated feedback inhibition by Ptp2 which has not been included in the idFBA study. We have concluded that our study is the first to the best of our knowledge to model signaling, metabolic and regulatory events in an integrated form through PN model framework. This study is useful in computational simulation of system dynamics for integrated pathways as there are growing evidences that the malfunctioning of the interplay among these pathways is associated with disease. 相似文献
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Chandra Bhushan Mishra Dimpy Sharma Amresh Prakash Namrata Kumari Nitin Kumar Pratibha Mehta Luthra 《Bioorganic & medicinal chemistry》2013,21(19):6077-6083
Novel 2-thioxothiazole derivatives (6–19) as potential adenosine A2A receptor (A2AR) antagonists were synthesized. The strong interaction of the compounds (6–19) with A2AR in docking study was confirmed by high binding affinity with human A2AR expressed in HEK293T cells using radioligand-binding assay. The compound 19 demonstrated very high selectivity for A2AR as compared to standard A2AR antagonist SCH58261. Decrease in A2AR-coupled release of endogenous cAMP in treated HEK293T cells demonstrated in vitro A2AR antagonist potential of the compound 19. Attenuation in haloperidol-induced impairment (catalepsy) in Swiss albino male mice pre-treated with compound 19 is evocative to explore its prospective in therapy of PD. 相似文献
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Stress fiber growth and remodeling determines cellular morphomechanics under uniaxial cyclic stretch
Chatterjee Aritra Kondaiah Paturu Gundiah Namrata 《Biomechanics and modeling in mechanobiology》2022,21(2):553-567
Biomechanics and Modeling in Mechanobiology - Stress fibers in the cytoskeleton are essential in maintaining cellular shape and influence cellular adhesion and migration. Cyclic uniaxial stretching... 相似文献
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Adam C. Naj Honghuang Lin Badri N. Vardarajan Simon White Daniel Lancour Yiyi Ma Michael Schmidt Fangui Sun Mariusz Butkiewicz William S. Bush Brian W. Kunkle John Malamon Najaf Amin Seung Hoan Choi Kara L. Hamilton-Nelson Sven J. van der Lee Namrata Gupta Daniel C. Koboldt Anita L. DeStefano 《Genomics》2019,111(4):808-818
The Alzheimer's Disease Sequencing Project (ADSP) performed whole genome sequencing (WGS) of 584 subjects from 111 multiplex families at three sequencing centers. Genotype calling of single nucleotide variants (SNVs) and insertion-deletion variants (indels) was performed centrally using GATK-HaplotypeCaller and Atlas V2. The ADSP Quality Control (QC) Working Group applied QC protocols to project-level variant call format files (VCFs) from each pipeline, and developed and implemented a novel protocol, termed “consensus calling,” to combine genotype calls from both pipelines into a single high-quality set. QC was applied to autosomal bi-allelic SNVs and indels, and included pipeline-recommended QC filters, variant-level QC, and sample-level QC. Low-quality variants or genotypes were excluded, and sample outliers were noted. Quality was assessed by examining Mendelian inconsistencies (MIs) among 67 parent-offspring pairs, and MIs were used to establish additional genotype-specific filters for GATK calls. After QC, 578 subjects remained. Pipeline-specific QC excluded ~12.0% of GATK and 14.5% of Atlas SNVs. Between pipelines, ~91% of SNV genotypes across all QCed variants were concordant; 4.23% and 4.56% of genotypes were exclusive to Atlas or GATK, respectively; the remaining ~0.01% of discordant genotypes were excluded. For indels, variant-level QC excluded ~36.8% of GATK and 35.3% of Atlas indels. Between pipelines, ~55.6% of indel genotypes were concordant; while 10.3% and 28.3% were exclusive to Atlas or GATK, respectively; and ~0.29% of discordant genotypes were. The final WGS consensus dataset contains 27,896,774 SNVs and 3,133,926 indels and is publicly available. 相似文献
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Tanya Svinkina Hongbo Gu Jeffrey C. Silva Philipp Mertins Jana Qiao Shaunt Fereshetian Jacob D. Jaffe Eric Kuhn Namrata D. Udeshi Steven A. Carr 《Molecular & cellular proteomics : MCP》2015,14(9):2429-2440
Introduction of antibodies specific for acetylated lysine has significantly improved the detection of endogenous acetylation sites by mass spectrometry. Here, we describe a new, commercially available mixture of anti-lysine acetylation (Kac) antibodies and show its utility for in-depth profiling of the acetylome. Specifically, seven complementary monoclones with high specificity for Kac were combined into a final anti-Kac reagent which results in at least a twofold increase in identification of Kac peptides over a commonly used Kac antibody. We outline optimal antibody usage conditions, effective offline basic reversed phase separation, and use of state-of-the-art LC-MS technology for achieving unprecedented coverage of the acetylome. The methods were applied to quantify acetylation sites in suberoylanilide hydroxamic acid-treated Jurkat cells. Over 10,000 Kac peptides from over 3000 Kac proteins were quantified from a single stable isotope labeling by amino acids in cell culture labeled sample using 7.5 mg of peptide input per state. This constitutes the deepest coverage of acetylation sites in quantitative experiments obtained to-date. The approach was also applied to breast tumor xenograft samples using isobaric mass tag labeling of peptides (iTRAQ4, TMT6 and TMT10-plex reagents) for quantification. Greater than 6700 Kac peptides from over 2300 Kac proteins were quantified using 1 mg of tumor protein per iTRAQ 4-plex channel. The novel reagents and methods we describe here enable quantitative, global acetylome analyses with depth and sensitivity approaching that obtained for other well-studied post-translational modifications such as phosphorylation and ubiquitylation, and should have widespread application in biological and clinical studies employing mass spectrometry-based proteomics.Lysine acetylation (Kac)1 is a well conserved, reversible post-translational modification (PTM) involved in multiple cellular processes (1). Acetylation is regulated by two classes of enzymes: lysine acetyltransferases (KATs) and histone deacetylases (HDACs) (2–4). This modification was originally identified as a nuclear event on histone proteins and has been long appreciated for its role in epigenetic and DNA-dependent processes. With the help of a growing number of large-scale acetylation studies, it has become evident that lysine acetylation is ubiquitous, also occurring on cytoplasmic and mitochondrial proteins and has a role in signaling, metabolism, and immunity (1, 4–6). Therefore, the examination of lysine acetylation on nonhistone proteins has gained a prominent role in PTM analysis.To date, the identification of large numbers of acetylation sites has been challenging because of the substoichiometric nature of this modification (7, 8). Additionally, global acetylation is generally less abundant than phosphorylation and ubiquitylation (1). The introduction of antibodies specific for lysine acetylation has significantly improved the ability to enrich and identify thousands of sites (9–14). A landmark study by Choudhary et al. used anti-Kac antibodies to globally map 3600 lysine acetylation sites on 1750 proteins, thereby demonstrating the feasibility of profiling the acetylome (10). A more recent study by Lundby et al. investigated the function and distribution of acetylation sites in 16 different rat tissues, and identified, in aggregate, 15,474 acetylation sites from 4541 proteins (12).Although anti-acetyl lysine antibodies have been a breakthrough for globally mapping acetylation sites (9–12), it remains a challenge to identify large numbers of lysine acetylation sites from a single sample, as is now routinely possible for phosphorylation and ubiquitylation (13, 15–18). To improve the depth-of-coverage in acetylation profiling experiments there is a clear need for (1) alternative anti-acetyl lysine antibodies with higher specificity, (2) optimized antibody usage parameters, and (3) robust proteomic workflows that permit low to moderate protein input. In this study, we describe a newly commercialized mixture of anti-Kac antibodies and detail a complete proteomic workflow for achieving unprecedented coverage of the acetylome from a single stable isotope labeling by amino acids in cell culture (SILAC) labeled sample as well as isobaric tags for relative and absolute quantitation (iTRAQ)- and tandem mass tag (TMT)-labeled samples. 相似文献
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Kamala Mitra Abhisek Brata Ghosh Arpita Sarkar Namrata Saha Amit Kumar Dutta 《Biochemical and biophysical research communications》2014
This article reports simple, green and efficient synthesis of γ-Fe2O3 nanoparticles (NPs) (maghemite) through single-source precursor approach for colorimetric estimation of human glucose level. The γ-Fe2O3 NPs, having cubic morphology with an average particle size of 30 nm, exhibited effective peroxidase-like activity through the catalytic oxidation of peroxidase substrate 3,3′,5,5′-tetramethylbenzidine (TMB) in the presence of H2O2 producing a blue-colored solution. On the basis of this colored-reaction, we have developed a simple, cheap, highly sensitive and selective colorimetric method for estimation of glucose using γ-Fe2O3/TMB/glucose–glucose oxidase (GOx) system in the linear range from 1 to 80 μM with detection limit of 0.21 μM. The proposed glucose sensor displays faster response, good stability, reproducibility and anti-interference ability. Based on this simple reaction process, human blood and urine glucose level can be monitored conveniently. 相似文献
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Zhiqian Wu Anandkumar Shah Namrata Patel Xudong Yuan 《Bioorganic & medicinal chemistry letters》2010,20(17):5108-5112
The resistance to methotrexate by a number of cancer cells such as breast cancer cell-line MDA-MB-231 due to poor permeability renders it less effective as an anticancer agent for these cells. Proline prodrug of methotrexate (Pro-MTX) was designed as a substrate of prolidase which is specific for imido bond of dipeptide containing proline and expected to penetrate MDA-MB-231 cells more efficiently. The prodrug was synthesized by solid-phase peptide synthesis method and examined as a substrate of pure prolidase as well as cell homogenate. The cytotoxicity against MDA-MB-231 and non-methotrexate resistant breast cancer cell line, MCF-7 was also examined by XTT assay. The results showed that Pro-MTX was a substrate of prolidase. It was also shown that the prodrug could be converted to parent drug methotrexate in Caco-2 and HeLa cell homogenate. When tested with Caco-2 and MCF-7 cells, Pro-MTX showed weaker cytotoxicity compared with methotrexate. But for methotrexate resistant MDA-MB-231 cells, Pro-MTX showed stronger activity than methotrexate. The results indicated that the proline prodrug of methotrexate may overcome the resistance of human breast cancer cells in culture. 相似文献