Protein Symbol Protein Name Rank Metric Score 4F2 4F2 Cell-Surface
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FKBP2 Antibody Cat
FKBP2 Antibody Cat. No.: 23-414 FKBP2 Antibody Western blot analysis of extracts of various cell lines, using FKBP2 antibody (23-414) at 1:1000 dilution. Secondary antibody: HRP Goat Anti-Rabbit IgG (H+L) at 1:10000 dilution. Lysates/proteins: 25ug per lane. Blocking buffer: 3% nonfat dry milk in TBST. Detection: ECL Basic Kit. Exposure time: 90s. Specifications HOST SPECIES: Rabbit SPECIES REACTIVITY: Human, Mouse, Rat Recombinant fusion protein containing a sequence corresponding to amino acids 22-142 IMMUNOGEN: of human FKBP2 (NP_004461.2). TESTED APPLICATIONS: IF, IHC, WB October 2, 2021 1 https://www.prosci-inc.com/fkbp2-antibody-23-414.html WB: ,1:500 - 1:2000 APPLICATIONS: IHC: ,1:100 - 1:200 IF: ,1:50 - 1:200 POSITIVE CONTROL: 1) MCF7 2) SKOV3 3) Jurkat 4) HeLa 5) Mouse thymus 6) Mouse liver PREDICTED MOLECULAR Observed: 14kDa WEIGHT: Properties PURIFICATION: Affinity purification CLONALITY: Polyclonal ISOTYPE: IgG CONJUGATE: Unconjugated PHYSICAL STATE: Liquid BUFFER: PBS with 0.02% sodium azide, 50% glycerol, pH7.3. STORAGE CONDITIONS: Store at -20˚C. Avoid freeze / thaw cycles. Additional Info OFFICIAL SYMBOL: FKBP2 FKBP-13, FKBP13, PPIase, peptidyl-prolyl cis-trans isomerase FKBP2, 13 kDa FK506-binding protein, 13 kDa FKBP, FK506 binding protein 2, 13kDa, FK506-binding protein 2, PPIase ALTERNATE NAMES: FKBP2, epididymis secretory sperm binding protein, immunophilin FKBP13, proline isomerase, rapamycin-binding protein, rotamase GENE ID: 2286 USER NOTE: Optimal dilutions for each application to be determined by the researcher. Background and References October 2, 2021 2 https://www.prosci-inc.com/fkbp2-antibody-23-414.html The protein encoded by this gene is a member of the immunophilin protein family, which play a role in immunoregulation and basic cellular processes involving protein folding and trafficking. -
Table 1. Identified Proteins with Expression Significantly Altered in the Hippocampus of Rats of Exposed Group (Pb) Vs
Table 1. Identified proteins with expression significantly altered in the hippocampus of rats of exposed group (Pb) vs. Control. Fold Change Accession Id a Protein Description Score Pb P35213 14-3-3 protein beta/alpha 85420 −0.835 P62260 14-3-3 protein epsilon 96570 −0.878 P68511 14-3-3 protein eta 85420 −0.844 P68255 14-3-3 protein theta 85420 −0.835 P63102 14-3-3 protein zeta/delta 105051 −0.803 P13233 2',3'-cyclic-nucleotide 3'-phosphodiesterase 151400 1.405 P68035 Actin, alpha cardiac muscle 1 442584 −0.942 P68136 Actin, alpha skeletal muscle 441060 −0.970 P62738 Actin, aortic smooth muscle 438270 −0.970 P60711 Actin, cytoplasmic 1 630104 −0.942 P63259 Actin, cytoplasmic 2 630104 −0.942 P63269 Actin, gamma-enteric smooth muscle 438270 −0.951 Q05962 ADP/ATP translocase 1 60100 −0.554 Q09073 ADP/ATP translocase 2 49102 −0.482 P84079 ADP-ribosylation factor 1 34675 −0.644 P84082 ADP-ribosylation factor 2 22412 −0.644 P61206 ADP-ribosylation factor 3 34675 −0.619 P61751 ADP-ribosylation factor 4 22412 −0.670 P84083 ADP-ribosylation factor 5 22412 −0.625 P04764 Alpha-enolase 46219 −0.951 P23565 Alpha-internexin 9478 1.062 P37377 Alpha-synuclein 89619 −0.771 P13221 Aspartate aminotransferase, cytoplasmic 23661 1.083 P00507 Aspartate aminotransferase, mitochondrial 46049 1.116 P10719 ATP synthase subunit beta, mitochondrial 232442 −0.835 P85969 Beta-soluble NSF attachment protein 9638 1.419 Q63754 Beta-synuclein 66842 −0.779 P11275 Calcium/calmodulin-dependent protein kinase type II subunit alpha 181954 1.105 P08413 Calcium/calmodulin-dependent protein kinase type II subunit beta 80840 1.127 P15791 Calcium/calmodulin-dependent protein kinase type II subunit delta 62682 1.105 Int. -
Structure of Human Aspartyl Aminopeptidase Complexed With
Chaikuad et al. BMC Structural Biology 2012, 12:14 http://www.biomedcentral.com/1472-6807/12/14 RESEARCH ARTICLE Open Access Structure of human aspartyl aminopeptidase complexed with substrate analogue: insight into catalytic mechanism, substrate specificity and M18 peptidase family Apirat Chaikuad1, Ewa S Pilka1, Antonio De Riso2, Frank von Delft1, Kathryn L Kavanagh1, Catherine Vénien-Bryan2, Udo Oppermann1,3 and Wyatt W Yue1* Abstract Backround: Aspartyl aminopeptidase (DNPEP), with specificity towards an acidic amino acid at the N-terminus, is the only mammalian member among the poorly understood M18 peptidases. DNPEP has implicated roles in protein and peptide metabolism, as well as the renin-angiotensin system in blood pressure regulation. Despite previous enzyme and substrate characterization, structural details of DNPEP regarding ligand recognition and catalytic mechanism remain to be delineated. Results: The crystal structure of human DNPEP complexed with zinc and a substrate analogue aspartate-β- hydroxamate reveals a dodecameric machinery built by domain-swapped dimers, in agreement with electron microscopy data. A structural comparison with bacterial homologues identifies unifying catalytic features among the poorly understood M18 enzymes. The bound ligands in the active site also reveal the coordination mode of the binuclear zinc centre and a substrate specificity pocket for acidic amino acids. Conclusions: The DNPEP structure provides a molecular framework to understand its catalysis that is mediated by active site loop swapping, a mechanism likely adopted in other M18 and M42 metallopeptidases that form dodecameric complexes as a self-compartmentalization strategy. Small differences in the substrate binding pocket such as shape and positive charges, the latter conferred by a basic lysine residue, further provide the key to distinguishing substrate preference. -
Nardilysin Is Involved in Autoimmune Arthritis Via the Regulation of Tumour Necrosis Factor Alpha Secretion
Animal models RMD Open: first published as 10.1136/rmdopen-2017-000436 on 13 July 2017. Downloaded from ORIGINAL articLE Nardilysin is involved in autoimmune arthritis via the regulation of tumour necrosis factor alpha secretion Takayuki Fujii,1 Eiichiro Nishi,2,3 Hiromu Ito,1 Hiroyuki Yoshitomi,4 Moritoshi Furu,5 Namiko Okabe,6 Mikiko Ohno,2 Kiyoto Nishi,2 Yusuke Morita,2 Yugo Morita,1 Masayuki Azukizawa,1 Akinori Okahata,1 Takuya Tomizawa,1 Takeshi Kimura,2 Shuichi Matsuda1 To cite: Fujii T, Nishi E, ABSTRACT Key messages Ito H, et al. Nardilysin is Objective Tumour necrosis factor alpha (TNF-α) plays involved in autoimmune an important role in rheumatoid arthritis (RA). TNF-α is arthritis via the regulation synthesised as a membrane-anchored precursor and is What is already known about this subject? of tumour necrosis factor fully activated by a disintegrin and metalloproteinase 17 ► Tumour necrosis factor alpha (TNF-α), which alpha secretion. RMD Open (ADAM17)-mediated ectodomain shedding. Nardilysin is activated by ectodomain shedding, plays an 2017;3:e000436. doi:10.1136/ important role in rheumatoid arthritis (RA). rmdopen-2017-000436 (NRDC) facilitates ectodomain shedding via activation of ADAM17. This study was undertaken to elucidate the role ► Nardilysin facilitates TNF-α shedding via enhancing of NRDC in RA. a disintegrin and metalloproteinase 17 activity. Additional material is –/– ► Methods NRDC-deficient Nrdc( ) mice and macrophage- published online only. To view What does this study add? specific NRDC-deficientNrdc ( delM) mice were examined please visit the journal online ► Deletion or inhibition of nardilysin prevents (http:// dx. doi. org/ 10. -
Prostate Cancer Prognostics Using Biomarkers Prostatakrebsprognostik Mittels Biomarkern Prognostic Du Cancer De La Prostate Au Moyen De Biomarqueurs
(19) TZZ Z_T (11) EP 2 885 640 B1 (12) EUROPEAN PATENT SPECIFICATION (45) Date of publication and mention (51) Int Cl.: of the grant of the patent: G01N 33/574 (2006.01) C12Q 1/68 (2018.01) 18.07.2018 Bulletin 2018/29 C40B 30/04 (2006.01) (21) Application number: 13829137.2 (86) International application number: PCT/US2013/055429 (22) Date of filing: 16.08.2013 (87) International publication number: WO 2014/028884 (20.02.2014 Gazette 2014/08) (54) PROSTATE CANCER PROGNOSTICS USING BIOMARKERS PROSTATAKREBSPROGNOSTIK MITTELS BIOMARKERN PROGNOSTIC DU CANCER DE LA PROSTATE AU MOYEN DE BIOMARQUEURS (84) Designated Contracting States: • GHADESSI, Mercedeh AL AT BE BG CH CY CZ DE DK EE ES FI FR GB New Westminster, British Columbia V3M 6E2 (CA) GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO • JENKINS, Robert, B. PL PT RO RS SE SI SK SM TR Rochester, Minnesota 55902 (US) • VERGARA CORREA, Ismael A. (30) Priority: 16.08.2012 US 201261684066 P Bundoora, Victoria 3083 (AU) 13.02.2013 US 201361764365 P 14.03.2013 US 201361783124 P (74) Representative: Cornish, Kristina Victoria Joy et al Kilburn & Strode LLP (43) Date of publication of application: Lacon London 24.06.2015 Bulletin 2015/26 84 Theobalds Road London WC1X 8NL (GB) (73) Proprietors: • Genomedx Biosciences, Inc. (56) References cited: Vancouver BC V6B 2W9 (CA) WO-A1-2009/143603 WO-A1-2013/090620 • MAYO FOUNDATION FOR MEDICAL WO-A2-2006/091776 WO-A2-2006/110264 EDUCATION AND RESEARCH WO-A2-2007/056049 US-A1- 2006 134 663 Rochester, MN 55905 (US) US-A1- 2007 037 165 US-A1- 2007 065 827 US-A1- -
Contig Protein Description Symbol Anterior Posterior Ratio
Table S2. List of proteins detected in anterior and posterior intestine pooled samples. Data on protein expression are mean ± SEM of 4 pools fed the experimental diets. The number of the contig in the Sea Bream Database (http://nutrigroup-iats.org/seabreamdb) is indicated. Contig Protein Description Symbol Anterior Posterior Ratio Ant/Pos C2_6629 1,4-alpha-glucan-branching enzyme GBE1 0.88±0.1 0.91±0.03 0.98 C2_4764 116 kDa U5 small nuclear ribonucleoprotein component EFTUD2 0.74±0.09 0.71±0.05 1.03 C2_299 14-3-3 protein beta/alpha-1 YWHAB 1.45±0.23 2.18±0.09 0.67 C2_268 14-3-3 protein epsilon YWHAE 1.28±0.2 2.01±0.13 0.63 C2_2474 14-3-3 protein gamma-1 YWHAG 1.8±0.41 2.72±0.09 0.66 C2_1017 14-3-3 protein zeta YWHAZ 1.33±0.14 4.41±0.38 0.30 C2_34474 14-3-3-like protein 2 YWHAQ 1.3±0.11 1.85±0.13 0.70 C2_4902 17-beta-hydroxysteroid dehydrogenase 14 HSD17B14 0.93±0.05 2.33±0.09 0.40 C2_3100 1-acylglycerol-3-phosphate O-acyltransferase ABHD5 ABHD5 0.85±0.07 0.78±0.13 1.10 C2_15440 1-phosphatidylinositol phosphodiesterase PLCD1 0.65±0.12 0.4±0.06 1.65 C2_12986 1-phosphatidylinositol-4,5-bisphosphate phosphodiesterase delta-1 PLCD1 0.76±0.08 1.15±0.16 0.66 C2_4412 1-phosphatidylinositol-4,5-bisphosphate phosphodiesterase gamma-2 PLCG2 1.13±0.08 2.08±0.27 0.54 C2_3170 2,4-dienoyl-CoA reductase, mitochondrial DECR1 1.16±0.1 0.83±0.03 1.39 C2_1520 26S protease regulatory subunit 10B PSMC6 1.37±0.21 1.43±0.04 0.96 C2_4264 26S protease regulatory subunit 4 PSMC1 1.2±0.2 1.78±0.08 0.68 C2_1666 26S protease regulatory subunit 6A PSMC3 1.44±0.24 1.61±0.08 -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Supplementary Table 3 Complete List of RNA-Sequencing Analysis of Gene Expression Changed by ≥ Tenfold Between Xenograft and Cells Cultured in 10%O2
Supplementary Table 3 Complete list of RNA-Sequencing analysis of gene expression changed by ≥ tenfold between xenograft and cells cultured in 10%O2 Expr Log2 Ratio Symbol Entrez Gene Name (culture/xenograft) -7.182 PGM5 phosphoglucomutase 5 -6.883 GPBAR1 G protein-coupled bile acid receptor 1 -6.683 CPVL carboxypeptidase, vitellogenic like -6.398 MTMR9LP myotubularin related protein 9-like, pseudogene -6.131 SCN7A sodium voltage-gated channel alpha subunit 7 -6.115 POPDC2 popeye domain containing 2 -6.014 LGI1 leucine rich glioma inactivated 1 -5.86 SCN1A sodium voltage-gated channel alpha subunit 1 -5.713 C6 complement C6 -5.365 ANGPTL1 angiopoietin like 1 -5.327 TNN tenascin N -5.228 DHRS2 dehydrogenase/reductase 2 leucine rich repeat and fibronectin type III domain -5.115 LRFN2 containing 2 -5.076 FOXO6 forkhead box O6 -5.035 ETNPPL ethanolamine-phosphate phospho-lyase -4.993 MYO15A myosin XVA -4.972 IGF1 insulin like growth factor 1 -4.956 DLG2 discs large MAGUK scaffold protein 2 -4.86 SCML4 sex comb on midleg like 4 (Drosophila) Src homology 2 domain containing transforming -4.816 SHD protein D -4.764 PLP1 proteolipid protein 1 -4.764 TSPAN32 tetraspanin 32 -4.713 N4BP3 NEDD4 binding protein 3 -4.705 MYOC myocilin -4.646 CLEC3B C-type lectin domain family 3 member B -4.646 C7 complement C7 -4.62 TGM2 transglutaminase 2 -4.562 COL9A1 collagen type IX alpha 1 chain -4.55 SOSTDC1 sclerostin domain containing 1 -4.55 OGN osteoglycin -4.505 DAPL1 death associated protein like 1 -4.491 C10orf105 chromosome 10 open reading frame 105 -4.491 -
Palmitoyl-Protein Thioesterase 1 Deficiency in Drosophila Melanogaster Causes Accumulation
Genetics: Published Articles Ahead of Print, published on February 1, 2006 as 10.1534/genetics.105.053306 Palmitoyl-protein thioesterase 1 deficiency in Drosophila melanogaster causes accumulation of abnormal storage material and reduced lifespan Anthony J. Hickey*,†,1, Heather L. Chotkowski*, Navjot Singh*, Jeffrey G. Ault*, Christopher A. Korey‡,2, Marcy E. MacDonald‡, and Robert L. Glaser*,†,3 * Wadsworth Center, New York State Department of Health, Albany, NY 12201-2002 † Department of Biomedical Sciences, State University of New York, Albany, NY 12201-0509 ‡ Molecular Neurogenetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA 02114 1 current address: Albany Medical College, Albany, NY 12208 2 current address: Department of Biology, College of Charleston, Charleston, SC 294243 3 corresponding author: Wadsworth Center, NYS Dept. Health, P. O. Box 22002, Albany, NY 12201-2002 E-mail: [email protected] 1 running title: Phenotypes of Ppt1-deficient Drosophila key words: Batten disease infantile neuronal ceroid lipofuscinosis palmitoyl-protein thioesterase CLN1 Drosophila corresponding author: Robert L. Glaser Wadsworth Center, NYS Dept. Health P. O. Box 22002 Albany, NY 12201-2002 E-mail: [email protected] phone: 518-473-4201 fax: 518-474-3181 2 ABSTRACT Human neuronal ceroid lipofuscinoses (NCLs) are a group of genetic neurodegenerative diseases characterized by progressive death of neurons in the central nervous system (CNS) and accumulation of abnormal lysosomal storage material. Infantile NCL (INCL), the most severe form of NCL, is caused by mutations in the Ppt1 gene, which encodes the lysosomal enzyme palmitoyl-protein thioesterase 1 (Ppt1). We generated mutations in the Ppt1 ortholog of Drosophila melanogaster in order to characterize phenotypes caused by Ppt1-deficiency in flies. -
Naringenin Regulates FKBP4/NR3C1/TMEM173 Signaling Pathway in Autophagy and Proliferation of Breast Cancer and Tumor-Infltrating Dendritic Cell Maturation
Naringenin Regulates FKBP4/NR3C1/TMEM173 Signaling Pathway in Autophagy and Proliferation of Breast Cancer and Tumor-Inltrating Dendritic Cell Maturation Hanchu Xiong ( [email protected] ) Zhejiang Provincial People's Hospital https://orcid.org/0000-0001-6075-6895 Zihan Chen First Hospital of Zhejiang Province: Zhejiang University School of Medicine First Aliated Hospital Baihua Lin Zhejiang Provincial People's Hospital Cong Chen Zhejiang University School of Medicine Sir Run Run Shaw Hospital Zhaoqing Li Zhejiang University School of Medicine Sir Run Run Shaw Hospital Yongshi Jia Zhejiang Provincial People's Hospital Linbo Wang Zhejiang University School of Medicine Sir Run Run Shaw Hospital Jichun Zhou Zhejiang University School of Medicine Sir Run Run Shaw Hospital Research Keywords: FKBP4, TMEM173, Autophagy, Exosome, Dendritic cell, Breast cancer Posted Date: July 7th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-659646/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/38 Abstract Background TMEM173 is a pattern recognition receptor detecting cytoplasmic nucleic acids and transmits cGAS related signals that activate host innate immune responses. It has also been found to be involved in tumor immunity and tumorigenesis. Methods Bc-GenExMiner, PROMO and STRING database were used for analyzing clinical features and interplays of FKBP4, TMEM173 and NR3C1. Transient transfection, western blotting, quantitative real-time PCR, luciferase reporter assay, immunouorescence and nuclear and cytoplasmic fractionation were used for regulation of FKBP4, TMEM173 and NR3C1. Both knockdown and overexpression of FKBP4, TMEM173 and NR3C1 were used to analyze effects on autophagy and proliferation of breast cancer (BC) cells. -
Functional Coverage of the Human Genome by Existing Structures, Structural Genomics Targets, and Homology Models
Functional Coverage of the Human Genome by Existing Structures, Structural Genomics Targets, and Homology Models Lei Xie, Philip E. Bourne* San Diego Supercomputer Center and Department of Pharmacology, University of California, San Diego, California, United States of America The bias in protein structure and function space resulting from experimental limitations and targeting of particular functional classes of proteins by structural biologists has long been recognized, but never continuously quantified. Using the Enzyme Commission and the Gene Ontology classifications as a reference frame, and integrating structure data from the Protein Data Bank (PDB), target sequences from the structural genomics projects, structure homology derived from the SUPERFAMILY database, and genome annotations from Ensembl and NCBI, we provide a quantified view, both at the domain and whole-protein levels, of the current and projected coverage of protein structure and function space relative to the human genome. Protein structures currently provide at least one domain that covers 37% of the functional classes identified in the genome; whole structure coverage exists for 25% of the genome. If all the structural genomics targets were solved (twice the current number of structures in the PDB), it is estimated that structures of one domain would cover 69% of the functional classes identified and complete structure coverage would be 44%. Homology models from existing experimental structures extend the 37% coverage to 56% of the genome as single domains and 25% to 31% for complete structures. Coverage from homology models is not evenly distributed by protein family, reflecting differing degrees of sequence and structure divergence within families. While these data provide coverage, conversely, they also systematically highlight functional classes of proteins for which structures should be determined. -
Differential Proteomic Analysis of the Pancreas of Diabetic Db/Db Mice Reveals the Proteins Involved in the Development of Complications of Diabetes Mellitus
Int. J. Mol. Sci. 2014, 15, 9579-9593; doi:10.3390/ijms15069579 OPEN ACCESS International Journal of Molecular Sciences ISSN 1422-0067 www.mdpi.com/journal/ijms Article Differential Proteomic Analysis of the Pancreas of Diabetic db/db Mice Reveals the Proteins Involved in the Development of Complications of Diabetes Mellitus Victoriano Pérez-Vázquez 1,*, Juan M. Guzmán-Flores 1, Daniela Mares-Álvarez 1, Magdalena Hernández-Ortiz 2, Maciste H. Macías-Cervantes 1, Joel Ramírez-Emiliano 1 and Sergio Encarnación-Guevara 2 1 Depto. de Ciencias Médicas, División de Ciencias de la Salud, Campus León, Universidad de Guanajuato, León, Guanajuato 37320, Mexico; E-Mails: [email protected] (J.M.G.-F.); [email protected] (D.M.-A.); [email protected] (M.H.M.-C.); [email protected] (J.R.-E.) 2 Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, Morelos 62210, Mexico; E-Mails: [email protected] (M.H.-O.); [email protected] (S.E.-G.) * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +52-477-7143-812; Fax: +52-477-7167-623. Received: 4 April 2014; in revised form: 14 May 2014 / Accepted: 19 May 2014 / Published: 30 May 2014 Abstract: Type 2 diabetes mellitus is characterized by hyperglycemia and insulin-resistance. Diabetes results from pancreatic inability to secrete the insulin needed to overcome this resistance. We analyzed the protein profile from the pancreas of ten-week old diabetic db/db and wild type mice through proteomics. Pancreatic proteins were separated in two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) and significant changes in db/db mice respect to wild type mice were observed in 27 proteins.