17 results on '"Gubbala S"'
Search Results
2. Nanowire-based electrochromic devices
- Author
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Gubbala, S., Thangala, J., and Sunkara, M.K.
- Published
- 2007
- Full Text
- View/download PDF
3. Participation of the dissolved O 2 in the passive layer formation on Zn surface in neutral media
- Author
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Hassan, Hamdy H., Amin, Mohammed A., Gubbala, S., and Sunkara, M.K.
- Published
- 2007
- Full Text
- View/download PDF
4. Magnetic behavior of nanocrystalline nickel ferrite: Part I. The effect of surface roughness
- Author
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Nathani, H., Gubbala, S., and Misra, R.D.K.
- Published
- 2005
- Full Text
- View/download PDF
5. A comparison of the magnetic characteristics of nanocrystalline nickel, zinc, and manganese ferrites synthesized by reverse micelle technique
- Author
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Misra, R.D.K., Gubbala, S., Kale, A., and Egelhoff, W.F., Jr.
- Published
- 2004
- Full Text
- View/download PDF
6. Magnetic behavior of nickel ferrite–polyethylene nanocomposites synthesized by mechanical milling process
- Author
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Nathani, H, Gubbala, S, and Misra, R.D.K
- Published
- 2004
- Full Text
- View/download PDF
7. Magnetic properties of nanocrystalline Ni–Zn, Zn–Mn, and Ni–Mn ferrites synthesized by reverse micelle technique
- Author
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Gubbala, S., Nathani, H., Koizol, K., and Misra, R.D.K.
- Published
- 2004
- Full Text
- View/download PDF
8. Magnetic behavior of nanocrystalline nickel ferrite synthesized by the reverse micelle technique
- Author
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Kale, A., Gubbala, S., and Misra, R.D.K.
- Published
- 2004
- Full Text
- View/download PDF
9. The first myriapod genome sequence reveals conservative arthropod gene content in the centipede Strigamia maritima
- Author
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Chipman, A.D., Ferrier, D.E.K., Brena, C., Qu, J., Hughes, D.S.T., Schroeder, R., Torres-Oliva, M., Znassi, N., Jiang, H., Almeida, F.C., Alonso, C.R., Apostolou, Z., Aqrawi, P., Arthur, W., Barna, J.C.J., Blankenburg, K.P., Brites, D., Capella-Gutierrez, S., Coyle, M., Dearden, P.K., Du Pasquier, L., Duncan, E.J., Ebert, D., Eibner, C., Erikson, G., Evans, P.D., Extavour, C.G., Francisco, L., Gabaldon, T., Gillis, W.J., Goodwin-Horn, E.A., Green, J.E., Griffiths-Jones, S., Grimmelikhuijzen, C.J.P., Gubbala, S., Guigo, R., Han, Y., Hauser, F., Havlak, P., Hayden, L., Helbing, S., Holder, M., Hui, J.H.L., Hunn, J.P., Hunnekuhl, V.S., Jackson, L., Javaid, M., Jhangiani, S.N., Jiggins, F.M., Jones, T.E., Kaiser, T.S., Kalra, D., Kenny, N.J., Korchina, V., Kovar, C.L., Kraus, F.B., Lapraz, F., Lee, S.L., Lv, J., Mandapat, C., Manning, G., Mariotti, M., Mata, R., Mathew, T., Neumann, T., Newsham, I., Ngo, D.N., Ninova, M., Okwuonu, G., Ongeri, F., Palmer, W.J., Patil, S., Patraquim, P., Pham, C., Pu, L.L., Putman, N.H., Rabouille, C., Ramos, O.M., Rhodes, A.C., Robertson, H.E., Robertson, H.M., Ronshaugen, M., Rozas, J., Saada, N., Sanchez-Gracia, A., Scherer, S.E., Schurko, A.M., Siggens, K.W., Simmons, D., Stief, A., Stolle, E., Telford, M.J., Tessmar-Raible, K., Thornton, R., Zee, M. van der, Von Haeseler, A., Williams, J.M., Willis, J.H., Wu, Y., Zou, X., Lawson, D., Muzny, D.M., Worley, K.C., Gibbs, R.A., Akam, M., and Richards, S.
- Published
- 2014
10. Finding the missing honey bee genes: Lessons learned from a genome upgrade
- Author
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Elsik, CG, Worley, KC, Bennett, AK, Beye, M, Camara, F, Childers, CP, de Graaf, DC, Debyser, G, Deng, J, Devreese, B, Elhaik, E, Evans, JD, Foster, LJ, Graur, D, Guigo, R, Hoff, KJ, Holder, ME, Hudson, ME, Hunt, GJ, Jiang, H, Joshi, V, Khetani, RS, Kosarev, P, Kovar, CL, Ma, J, Maleszka, R, Moritz, RFA, Munoz-Torres, MC, Murphy, TD, Muzny, DM, Newsham, IF, Reese, JT, Robertson, HM, Robinson, GE, Rueppell, O, Solovyev, V, Stanke, M, Stolle, E, Tsuruda, JM, Vaerenbergh, MV, Waterhouse, RM, Weaver, DB, Whitfield, CW, Wu, Y, Zdobnov, EM, Zhang, L, Zhu, D, Gibbs, RA, Patil, S, Gubbala, S, Aqrawi, P, Arias, F, Bess, C, Blankenburg, KB, Brocchini, M, Buhay, C, Challis, D, Chang, K, Chen, D, Coleman, P, Drummond, J, English, A, Evani, U, Francisco, L, Fu, Q, Goodspeed, R, Haessly, TH, Hale, W, Han, H, Hu, Y, Jackson, L, Jakkamsetti, A, Jayaseelan, JC, Kakkar, N, Kalra, D, Kandadi, H, Lee, S, Li, H, Liu, Y, Macmil, S, Mandapat, CM, Mata, R, Mathew, T, Matskevitch, T, Munidasa, M, Nagaswamy, U, Najjar, R, Nguyen, N, Niu, J, Opheim, D, Palculict, T, Paul, S, Pellon, M, Perales, L, Pham, C, Pham, P, Pu, LL, Qi, S, Qu, J, Ren, Y, Elsik, CG, Worley, KC, Bennett, AK, Beye, M, Camara, F, Childers, CP, de Graaf, DC, Debyser, G, Deng, J, Devreese, B, Elhaik, E, Evans, JD, Foster, LJ, Graur, D, Guigo, R, Hoff, KJ, Holder, ME, Hudson, ME, Hunt, GJ, Jiang, H, Joshi, V, Khetani, RS, Kosarev, P, Kovar, CL, Ma, J, Maleszka, R, Moritz, RFA, Munoz-Torres, MC, Murphy, TD, Muzny, DM, Newsham, IF, Reese, JT, Robertson, HM, Robinson, GE, Rueppell, O, Solovyev, V, Stanke, M, Stolle, E, Tsuruda, JM, Vaerenbergh, MV, Waterhouse, RM, Weaver, DB, Whitfield, CW, Wu, Y, Zdobnov, EM, Zhang, L, Zhu, D, Gibbs, RA, Patil, S, Gubbala, S, Aqrawi, P, Arias, F, Bess, C, Blankenburg, KB, Brocchini, M, Buhay, C, Challis, D, Chang, K, Chen, D, Coleman, P, Drummond, J, English, A, Evani, U, Francisco, L, Fu, Q, Goodspeed, R, Haessly, TH, Hale, W, Han, H, Hu, Y, Jackson, L, Jakkamsetti, A, Jayaseelan, JC, Kakkar, N, Kalra, D, Kandadi, H, Lee, S, Li, H, Liu, Y, Macmil, S, Mandapat, CM, Mata, R, Mathew, T, Matskevitch, T, Munidasa, M, Nagaswamy, U, Najjar, R, Nguyen, N, Niu, J, Opheim, D, Palculict, T, Paul, S, Pellon, M, Perales, L, Pham, C, Pham, P, Pu, LL, Qi, S, Qu, J, and Ren, Y
- Abstract
Background: The first generation of genome sequence assemblies and annotations have had a significant impact upon our understanding of the biology of the sequenced species, the phylogenetic relationships among species, the study of populations within and across species, and have informed the biology of humans. As only a few Metazoan genomes are approaching finished quality (human, mouse, fly and worm), there is room for improvement of most genome assemblies. The honey bee (Apis mellifera) genome, published in 2006, was noted for its bimodal GC content distribution that affected the quality of the assembly in some regions and for fewer genes in the initial gene set (OGSv1.0) compared to what would be expected based on other sequenced insect genomes. Results: Here, we report an improved honey bee genome assembly (Amel_4.5) with a new gene annotation set (OGSv3.2), and show that the honey bee genome contains a number of genes similar to that of other insect genomes, contrary to what was suggested in OGSv1.0. The new genome assembly is more contiguous and complete and the new gene set includes ~5000 more protein-coding genes, 50% more than previously reported. About 1/6 of the additional genes were due to improvements to the assembly, and the remaining were inferred based on new RNAseq and protein data. Conclusions: Lessons learned from this genome upgrade have important implications for future genome sequencing projects. Furthermore, the improvements significantly enhance genomic resources for the honey bee, a key model for social behavior and essential to global ecology through pollination. © 2014 Elsik et al.; licensee BioMed Central Ltd.
- Published
- 2014
11. Participation of the dissolved O2 in the passive layer formation on Zn surface in neutral media
- Author
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Hassan, Hamdy H., primary, Amin, Mohammed A., additional, Gubbala, S., additional, and Sunkara, M.K., additional
- Published
- 2007
- Full Text
- View/download PDF
12. Magnetic behaviour of nanocrystalline nickel ferrite: Part 2 – Effect of dilution
- Author
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Gubbala, S., primary and Misra, R. D. K., additional
- Published
- 2006
- Full Text
- View/download PDF
13. Longitudinal Analysis of Predictive Factors for Stroke and Bleeding Events in Atrial Fibrillation Patients: Insights From a Tertiary Care Center Cohort.
- Author
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Siva Krishna Pavan Kumar BG, Surasura A, Chinamanagonda SL, Gubbala S, and Sri Lakshmi Sai Meghana A
- Abstract
Background: Atrial fibrillation (AF) represents a prevalent cardiac arrhythmia associated with increased risks of stroke and bleeding events, necessitating comprehensive risk assessment and management strategies., Objective: This retrospective cohort research aimed to longitudinally analyze risk factors associated with stroke and bleeding incidents in patients diagnosed with AF, focusing on identifying predictive factors and their impact on patient outcomes., Methods: The research enrolled 480 AF patients from a tertiary care center over an 18-month period (2021-2022). Baseline demographic, clinical, and medication data were collected from electronic health records. Patients were monitored for occurrences of stroke and bleeding events during follow-up. Cox proportional hazards models and Kaplan-Meier estimates were utilized to assess risk factor associations and cumulative event incidences, respectively., Results: A cohort of 480 AF patients, with a mean age of 65.4 years, was observed over 18 months. Stroke patients tended to be older (72.1 years), and bleeders slightly younger (68.8 years). Cox models revealed higher stroke risk in >70-year-olds (hazard ratio (HR): 1.85, 95% confidence interval (95% CI): 1.21-2.78, p < 0.001) and with prior stroke history (HR: 2.13, 95% CI: 1.45-3.12, p < 0.001). Prior stroke linked to bleeding risk (HR: 1.88, 95% CI: 1.26-2.81, p = 0.003). At six months, stroke incidence was 5.2%, bleeding 3.8%; at 18 months, 12.5% experienced strokes, 9.3% bleeding. These findings underscore age and prior stroke as vital predictors of adverse outcomes in AF patients., Conclusion: This research reaffirms age and prior stroke as pivotal risk factors for adverse outcomes in AF patients. The findings emphasize the necessity for tailored risk stratification and interventions to mitigate stroke and bleeding risks, thereby enhancing patient care and prognosis in AF management., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2024, Siva Krishna Pavan Kumar et al.)
- Published
- 2024
- Full Text
- View/download PDF
14. Understanding Hospital Readmissions: Insights, Patterns, and Interventions for Improvement in Chronic Kidney Disease.
- Author
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Surasura A, Siva Krishna Pavan Kumar BG, Chinamanagonda S, Durga D, and Gubbala S
- Abstract
Background: Hospital readmissions among chronic kidney disease (CKD) patients pose substantial challenges in healthcare, impacting both patients and healthcare systems. Understanding the patterns and determinants of CKD-related readmissions is crucial for devising effective interventions., Objective: This research aimed to investigate the factors contributing to hospital readmissions among CKD patients, identify the primary reasons for readmissions, and explore potential interventions to mitigate readmission risks., Methods: A retrospective analysis was conducted among a cohort of 300 CKD patients over an 18-month period at a tertiary care unit specializing in nephrology services. Data on demographics, CKD stages, comorbidities, reasons for readmissions, and lengths of hospital stays were analyzed. Logistic regression models were employed to identify predictors of readmissions., Results: Advancing CKD stages were associated with increased readmission rates, with higher rates observed in older patients. Cardiovascular complications and acute kidney injury were prominent reasons for readmissions. Age, comorbid conditions, and previous hospitalizations emerged as significant predictors of readmissions. Lengths of hospital stays during readmissions were also correlated with CKD stages., Conclusion: The research underscores the complex interplay of demographic and clinical factors contributing to hospital readmissions among CKD patients. Tailored interventions addressing disease severity, comorbidities, and patient-specific characteristics are pivotal in reducing readmission risks and enhancing care outcomes for this population., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2024, Surasura et al.)
- Published
- 2024
- Full Text
- View/download PDF
15. Influence of Glycosylation Inhibition on the Binding of KIR3DL1 to HLA-B*57:01.
- Author
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Salzberger W, Garcia-Beltran WF, Dugan H, Gubbala S, Simoneau C, Gressens SB, Jost S, and Altfeld M
- Subjects
- Cells, Cultured, Enzyme Inhibitors pharmacology, Glycosylation, Humans, Jurkat Cells, Killer Cells, Natural drug effects, Killer Cells, Natural metabolism, Protein Binding, Tunicamycin pharmacology, HLA-B Antigens metabolism, Receptors, KIR3DL1 metabolism
- Abstract
Viral infections can affect the glycosylation pattern of glycoproteins involved in antiviral immunity. Given the importance of protein glycosylation for immune function, we investigated the effect that modulation of the highly conserved HLA class I N-glycan has on KIR:HLA interactions and NK cell function. We focused on HLA-B*57:01 and its interaction with KIR3DL1, which has been shown to play a critical role in determining the progression of a number of human diseases, including human immunodeficiency virus-1 infection. 721.221 cells stably expressing HLA-B*57:01 were treated with a panel of glycosylation enzyme inhibitors, and HLA class I expression and KIR3DL1 binding was quantified. In addition, the functional outcomes of HLA-B*57:01 N-glycan disruption/modulation on KIR3DL1ζ+ Jurkat reporter cells and primary human KIR3DL1+ NK cells was assessed. Different glycosylation enzyme inhibitors had varying effects on HLA-B*57:01 expression and KIR3DL1-Fc binding. The most remarkable effect was that of tunicamycin, an inhibitor of the first step of N-glycosylation, which resulted in significantly reduced KIR3DL1-Fc binding despite sustained expression of HLA-B*57:01 on 721.221 cells. This effect was paralleled by decreased activation of KIR3DL1ζ+ Jurkat reporter cells, as well as increased degranulation of primary human KIR3DL1+ NK cell clones when encountering HLA-B*57:01-expressing 721.221 cells that were pre-treated with tunicamycin. Overall, these results demonstrate that N-glycosylation of HLA class I is important for KIR:HLA binding and has an impact on NK cell function.
- Published
- 2015
- Full Text
- View/download PDF
16. The first myriapod genome sequence reveals conservative arthropod gene content and genome organisation in the centipede Strigamia maritima.
- Author
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Chipman AD, Ferrier DE, Brena C, Qu J, Hughes DS, Schröder R, Torres-Oliva M, Znassi N, Jiang H, Almeida FC, Alonso CR, Apostolou Z, Aqrawi P, Arthur W, Barna JC, Blankenburg KP, Brites D, Capella-Gutiérrez S, Coyle M, Dearden PK, Du Pasquier L, Duncan EJ, Ebert D, Eibner C, Erikson G, Evans PD, Extavour CG, Francisco L, Gabaldón T, Gillis WJ, Goodwin-Horn EA, Green JE, Griffiths-Jones S, Grimmelikhuijzen CJ, Gubbala S, Guigó R, Han Y, Hauser F, Havlak P, Hayden L, Helbing S, Holder M, Hui JH, Hunn JP, Hunnekuhl VS, Jackson L, Javaid M, Jhangiani SN, Jiggins FM, Jones TE, Kaiser TS, Kalra D, Kenny NJ, Korchina V, Kovar CL, Kraus FB, Lapraz F, Lee SL, Lv J, Mandapat C, Manning G, Mariotti M, Mata R, Mathew T, Neumann T, Newsham I, Ngo DN, Ninova M, Okwuonu G, Ongeri F, Palmer WJ, Patil S, Patraquim P, Pham C, Pu LL, Putman NH, Rabouille C, Ramos OM, Rhodes AC, Robertson HE, Robertson HM, Ronshaugen M, Rozas J, Saada N, Sánchez-Gracia A, Scherer SE, Schurko AM, Siggens KW, Simmons D, Stief A, Stolle E, Telford MJ, Tessmar-Raible K, Thornton R, van der Zee M, von Haeseler A, Williams JM, Willis JH, Wu Y, Zou X, Lawson D, Muzny DM, Worley KC, Gibbs RA, Akam M, and Richards S
- Subjects
- Animals, Circadian Rhythm Signaling Peptides and Proteins genetics, DNA Methylation, Evolution, Molecular, Female, Genome, Mitochondrial, Hormones genetics, Male, Multigene Family, Phylogeny, Polymorphism, Genetic, Protein Kinases genetics, RNA, Untranslated genetics, Receptors, Odorant genetics, Selenoproteins genetics, Sex Chromosomes, Transcription Factors genetics, Arthropods genetics, Genome, Synteny
- Abstract
Myriapods (e.g., centipedes and millipedes) display a simple homonomous body plan relative to other arthropods. All members of the class are terrestrial, but they attained terrestriality independently of insects. Myriapoda is the only arthropod class not represented by a sequenced genome. We present an analysis of the genome of the centipede Strigamia maritima. It retains a compact genome that has undergone less gene loss and shuffling than previously sequenced arthropods, and many orthologues of genes conserved from the bilaterian ancestor that have been lost in insects. Our analysis locates many genes in conserved macro-synteny contexts, and many small-scale examples of gene clustering. We describe several examples where S. maritima shows different solutions from insects to similar problems. The insect olfactory receptor gene family is absent from S. maritima, and olfaction in air is likely effected by expansion of other receptor gene families. For some genes S. maritima has evolved paralogues to generate coding sequence diversity, where insects use alternate splicing. This is most striking for the Dscam gene, which in Drosophila generates more than 100,000 alternate splice forms, but in S. maritima is encoded by over 100 paralogues. We see an intriguing linkage between the absence of any known photosensory proteins in a blind organism and the additional absence of canonical circadian clock genes. The phylogenetic position of myriapods allows us to identify where in arthropod phylogeny several particular molecular mechanisms and traits emerged. For example, we conclude that juvenile hormone signalling evolved with the emergence of the exoskeleton in the arthropods and that RR-1 containing cuticle proteins evolved in the lineage leading to Mandibulata. We also identify when various gene expansions and losses occurred. The genome of S. maritima offers us a unique glimpse into the ancestral arthropod genome, while also displaying many adaptations to its specific life history., Competing Interests: The authors have declared that no competing interests exist.
- Published
- 2014
- Full Text
- View/download PDF
17. Comparative validation of the D. melanogaster modENCODE transcriptome annotation.
- Author
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Chen ZX, Sturgill D, Qu J, Jiang H, Park S, Boley N, Suzuki AM, Fletcher AR, Plachetzki DC, FitzGerald PC, Artieri CG, Atallah J, Barmina O, Brown JB, Blankenburg KP, Clough E, Dasgupta A, Gubbala S, Han Y, Jayaseelan JC, Kalra D, Kim YA, Kovar CL, Lee SL, Li M, Malley JD, Malone JH, Mathew T, Mattiuzzo NR, Munidasa M, Muzny DM, Ongeri F, Perales L, Przytycka TM, Pu LL, Robinson G, Thornton RL, Saada N, Scherer SE, Smith HE, Vinson C, Warner CB, Worley KC, Wu YQ, Zou X, Cherbas P, Kellis M, Eisen MB, Piano F, Kionte K, Fitch DH, Sternberg PW, Cutter AD, Duff MO, Hoskins RA, Graveley BR, Gibbs RA, Bickel PJ, Kopp A, Carninci P, Celniker SE, Oliver B, and Richards S
- Subjects
- Animals, Cluster Analysis, Drosophila melanogaster classification, Evolution, Molecular, Exons, Female, Genome, Insect, Humans, Male, Nucleotide Motifs, Phylogeny, Position-Specific Scoring Matrices, Promoter Regions, Genetic, RNA Editing, RNA Splice Sites, RNA Splicing, Reproducibility of Results, Transcription Initiation Site, Computational Biology methods, Drosophila melanogaster genetics, Gene Expression Profiling, Molecular Sequence Annotation, Transcriptome
- Abstract
Accurate gene model annotation of reference genomes is critical for making them useful. The modENCODE project has improved the D. melanogaster genome annotation by using deep and diverse high-throughput data. Since transcriptional activity that has been evolutionarily conserved is likely to have an advantageous function, we have performed large-scale interspecific comparisons to increase confidence in predicted annotations. To support comparative genomics, we filled in divergence gaps in the Drosophila phylogeny by generating draft genomes for eight new species. For comparative transcriptome analysis, we generated mRNA expression profiles on 81 samples from multiple tissues and developmental stages of 15 Drosophila species, and we performed cap analysis of gene expression in D. melanogaster and D. pseudoobscura. We also describe conservation of four distinct core promoter structures composed of combinations of elements at three positions. Overall, each type of genomic feature shows a characteristic divergence rate relative to neutral models, highlighting the value of multispecies alignment in annotating a target genome that should prove useful in the annotation of other high priority genomes, especially human and other mammalian genomes that are rich in noncoding sequences. We report that the vast majority of elements in the annotation are evolutionarily conserved, indicating that the annotation will be an important springboard for functional genetic testing by the Drosophila community., (© 2014 Chen et al.; Published by Cold Spring Harbor Laboratory Press.)
- Published
- 2014
- Full Text
- View/download PDF
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