<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Korwar, Arvind M.</style></author><author><style face="normal" font="default" size="100%">Bhonsle, Hemangi S.</style></author><author><style face="normal" font="default" size="100%">Ghole, Vikram S.</style></author><author><style face="normal" font="default" size="100%">Gawai, Kachru R.</style></author><author><style face="normal" font="default" size="100%">Koppikar, Chaitanyananda B.</style></author><author><style face="normal" font="default" size="100%">Kulkarni, Mahesh J.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Proteomic profiling and interactome analysis of ER-positive/HER2/neu negative invasive ductal carcinoma of the breast: towards proteomics biomarkers</style></title><secondary-title><style face="normal" font="default" size="100%">OMICS-A Journal of Integrative Biology</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">JAN</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">1</style></number><publisher><style face="normal" font="default" size="100%">MARY ANN LIEBERT, INC</style></publisher><pub-location><style face="normal" font="default" size="100%">140 HUGUENOT STREET, 3RD FL, NEW ROCHELLE, NY 10801 USA</style></pub-location><volume><style face="normal" font="default" size="100%">17</style></volume><pages><style face="normal" font="default" size="100%">27-40</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Breast cancer, especially ER positive/HER2/neu negative IDC, is the predominant subtype of invasive ductal carcinoma. Although proteomic approaches have been used towards biomarker discovery in clinical breast cancer, ER positive/HER2/neu negative IDC is the least studied subtype. To discover biomarkers, as well as to understand the molecular events associated with disease progression of estrogen receptor positive/HER2/neu negative subtype of invasive ductal carcinoma, differential protein expression profiling was performed by using LC-MSE (MS at elevated energy). A total of 118 proteins were identified, of which 26 were differentially expressed. These identified proteins were functionally classified and their interactions and coexpression were analyzed by using bioinformatic tools PANTHER (Protein Analysis THrough Evolutionary Relationships) and STRING (Search Tool for the Retrieval of Interacting Genes). These proteins were found to be upregulated and were involved in cytoskeletal organization, calcium binding, and stress response. Interactions of annexin A5, actin, S100 A10, glyceraldehyde 3 phosphate dehydrogenase, superoxide dismutase 1, apolipoprotein, fibrinogen, and heat shock proteins were prominent. Differential expression of these proteins was validated by two-dimensional gel electrophoresis and Western blot analysis. The cluster of these proteins may serve as a signature profile for estrogen receptor positive/ HER2/neu negative subtype.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><custom3><style face="normal" font="default" size="100%">Foreign</style></custom3><custom4><style face="normal" font="default" size="100%">2.73
</style></custom4></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bhonsle, Hemangi S.</style></author><author><style face="normal" font="default" size="100%">Korwar, Arvind M.</style></author><author><style face="normal" font="default" size="100%">Chougale, Ashok D.</style></author><author><style face="normal" font="default" size="100%">Kote, Sachin S.</style></author><author><style face="normal" font="default" size="100%">Dhande, Nitin L.</style></author><author><style face="normal" font="default" size="100%">Shelgikar, Kishore M.</style></author><author><style face="normal" font="default" size="100%">Kulkarni, Mahesh J.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Proteomic study reveals downregulation of apolipoprotein A1 in plasma of poorly controlled diabetes: a pilot study</style></title><secondary-title><style face="normal" font="default" size="100%">Molecular Medicine Reports</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">biomarker</style></keyword><keyword><style  face="normal" font="default" size="100%">HbA1c</style></keyword><keyword><style  face="normal" font="default" size="100%">proteomics</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">FEB</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">2</style></number><publisher><style face="normal" font="default" size="100%">SPANDIDOS PUBL LTD</style></publisher><pub-location><style face="normal" font="default" size="100%">POB 18179, ATHENS, 116 10, GREECE</style></pub-location><volume><style face="normal" font="default" size="100%">7</style></volume><pages><style face="normal" font="default" size="100%">495-498</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Proteomic approaches aid in gaining a better understanding of the pathophysiology of diabetic complications. In view of this, differential protein expression in diabetic plasma samples was studied by a combination of proteomic and western blot analyses. Diabetic plasma samples were categorized based on glycated haemoglobin levels as controlled diabetes (CD; 7-8%), poorly controlled diabetes (PCD; &amp;gt;8%) and non-diabetic control (ND;&amp;lt;6.4%). Two-dimensional electrophoresis and liquid chromatography-mass spectrometry revealed differential expression of proteins including upregulation of fibrinogen and haptoglobin and downregulation of vitamin D binding protein, alpha-1-antitrypsin, transthyretin and apolipoprotein A1 (Apo A1) in diabetic compared with non-diabetic plasma samples. Amongst these proteins, Apo A1 downregulation was prominent in PCD. Downregulation of Apo A1 may serve as an early predictive marker of diabetic complications.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><custom3><style face="normal" font="default" size="100%">Foreign</style></custom3><custom4><style face="normal" font="default" size="100%">1.484
</style></custom4></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Sacheti, Poonam</style></author><author><style face="normal" font="default" size="100%">Patil, Rajendra</style></author><author><style face="normal" font="default" size="100%">Dube, Ankita</style></author><author><style face="normal" font="default" size="100%">Bhonsle, Hemangi S.</style></author><author><style face="normal" font="default" size="100%">Thombre, Dipalee</style></author><author><style face="normal" font="default" size="100%">Marathe, Sayali</style></author><author><style face="normal" font="default" size="100%">Vidhate, Ravindra</style></author><author><style face="normal" font="default" size="100%">Wagh, Priyanka</style></author><author><style face="normal" font="default" size="100%">Kulkarni, Mahesh J.</style></author><author><style face="normal" font="default" size="100%">Rapole, Srikanth</style></author><author><style face="normal" font="default" size="100%">Gade, Wasudeo N.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Proteomics of arsenic stress in the gram-positive organism Exiguobacterium sp PS NCIM 5463</style></title><secondary-title><style face="normal" font="default" size="100%">Applied Microbiology and Biotechnology</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Arsenic</style></keyword><keyword><style  face="normal" font="default" size="100%">Exiguobacterium</style></keyword><keyword><style  face="normal" font="default" size="100%">proteomics</style></keyword><keyword><style  face="normal" font="default" size="100%">Stress</style></keyword><keyword><style  face="normal" font="default" size="100%">Transcriptomics</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">AUG</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">15</style></number><publisher><style face="normal" font="default" size="100%">SPRINGER</style></publisher><pub-location><style face="normal" font="default" size="100%">233 SPRING ST, NEW YORK, NY 10013 USA</style></pub-location><volume><style face="normal" font="default" size="100%">98</style></volume><pages><style face="normal" font="default" size="100%">6761-6773</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The general responses of microorganisms to environmental onslaughts are modulated by altering the gene expression pattern to reduce damage in the cell and produce compensating stress responses. The present study attempts to unravel the response of the Gram-positive Exiguobacterium sp. PS NCIM 5463 in the presence of [As(III)] and arsenate [As(V)] using comparative proteomics via two-dimension gel electrophoresis (2-DE) coupled with identification of proteins using matrix-assisted laser desorption/ionisation (MALDI-TOF/MALDI-TOF/TOF). Out of 926 Coomassie-stained proteins, 45 were differentially expressed (p &amp;lt; 0.05). Considering the resolution and abundance level, 24 spots (peptides) were subjected to MALDI analysis, identified and categorised into several functional categories, viz., nitrogen metabolism, energy and stress regulators, carbohydrate metabolism, protein synthesis components and others. A functional role of each protein is discussed in Exiguobacterium sp. PS 5463 under arsenic stress and validated at their transcript level using a quantitative real-time polymerase chain reaction. Unlike previous reports that unravel the responses toward arsenic stress in Gram-negative organisms, the present study identified new proteins under arsenic stress in a Gram-positive organism, Exiguobacterium sp. PS NCIM 5463, which could elucidate the physiology of organisms under arsenic stress.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">15</style></issue><custom3><style face="normal" font="default" size="100%">&lt;p&gt;Foreign&lt;/p&gt;
</style></custom3><custom4><style face="normal" font="default" size="100%">&lt;p&gt;3.68&lt;/p&gt;
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