Immuno-Oncology Panel 4 (Direct-MRM MS, Pending)
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Supplementary Materials
Supplementary Materials Identification of Compounds The connectivity map concept (C-Map) is based on gene expression profiles, also known as gene fingerprints, and is used to analyze similar effects of compounds and to find drugs for treating diseases [1]. The gene expression profiles in both the C-Map and the CLUE [2] websites were derived from the treatment of human cells with thousands of drugs. Therefore, the gene expression signatures of interest in any induced or organic cell state could be compared with one another to determine similar mechanisms or reverse signatures of drugs and shRNA. Pattern-matching algorithms were used to score each gene expression profile and provide strength of enrichment through query signatures. The results were ranked by “connectivity score (τ)”; a positive score of a signature denoted a similar effect, whereas a negative score indicated a contrary effect. A τ of 90 indicated that only 10% of all perturbations exhibited strong connectivity to the query [2]. Methodology of perturbagen classes (PCLs) To render the CLUE database relatively easy for users to quickly find the mechanism of action (MOA) of a target drug, codifying the class-level annotation required considerable effort. MOAs were adopted to identify groups of compounds with distinct chemical structures, and genetic perturbagens were grouped on the basis of their belonging to the same 1 gene family or being commonly targeted by the same compounds. Ultimately, CLUE named PCLs for their class-level annotations and further connected these cognate class members according to the results of L1000 connectivity analyses to predict the mechanism [2]. 2 A B 3 C D 4 E 5 Figure S1. -
Proteasome Subunit Beta Type 2 (PSMB2) Rabbit Polyclonal Antibody Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for TA332716 Proteasome subunit beta type 2 (PSMB2) Rabbit Polyclonal Antibody Product data: Product Type: Primary Antibodies Applications: IF, IHC, WB Recommended Dilution: WB 1:500 - 1:2000, IHC 1:50- 1:200, IF 1:50- 1:200 Reactivity: Human, Mouse, Rat Host: Rabbit Isotype: IgG Clonality: Polyclonal Immunogen: Recombinant protein of human PSMB2 Formulation: Store at -20°C (regular) and -80°C (long term). Avoid freeze / thaw cycles. Buffer: PBS with 0.02% sodium azide, 50% glycerol, pH7.3. Concentration: lot specific Purification: Affinity purification Conjugation: Unconjugated Storage: Store at -20°C as received. Stability: Stable for 12 months from date of receipt. Predicted Protein Size: 201 Gene Name: proteasome subunit beta 2 Database Link: NP_002785 Entrez Gene 26445 MouseEntrez Gene 29675 RatEntrez Gene 5690 Human P49721 This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 3 Proteasome subunit beta type 2 (PSMB2) Rabbit Polyclonal Antibody – TA332716 Background: The proteasome is a multicatalytic proteinase complex with a highly ordered ring-shaped 20S core structure. The core structure is composed of 4 rings of 28 non-identical subunits; 2 rings are composed of 7 alpha subunits and 2 rings are composed of 7 beta subunits. Proteasomes are distributed throughout eukaryotic cells at a high concentration and cleave peptides in an ATP/ubiquitin-dependent process in a non-lysosomal pathway. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Original Article Serum Insulin-Like Growth Factor Binding Protein 6 (IGFBP6) Is Increased in Patients with Type 1 Diabetes and Its Complications
Int J Clin Exp Med 2012;5(3):229-237 www.ijcem.com /ISSN:1940-5901/IJCEM1204003 Original Article Serum insulin-like growth factor binding protein 6 (IGFBP6) is increased in patients with type 1 diabetes and its complications Shangsu Lu1,2,3,6, Sharad Purohit3,4,6, Ashok Sharma3,4,6, Wenbo Zhi3,4,6, Mingfang He2,3, Yiqian Wang5, Chao-Jun Li1, Jin-Xiong She3,4 1Jiangsu Key Laboratory for Molecular and Medical Biotechnology, College of Life Sciences, Nanjing Normal Univer- sity, Nanjing 210046, China; 2Jiangsu Institute of Translational Medicine and School of Pharmaceutical Sciences, Nanjing University of Technology, Nanjing, Jiangsu, China; 3Center for Biotechnology and Genomic Medicine and 4Department of Pathology, Medical College of Georgia, Georgia Health Sciences University, Augusta, Georgia, United States of America; 5Zhangjiagang entry-exit inspection and Quarantine Bureau, Zhangjiagang, 215600, China; 6These authors contributed equally to this study. Received April 3, 2012; accepted May 15, 2012; Epub June 10, 2012; Published June 30, 2012 Abstract: Insulin-like growth factor binding proteins (IGFBPs) are associated with insulin resistance and accelerated micro- and macro-vascular complications of diabetes. We investigated the relationship between serum levels of IGFBP6 in type-1 diabetes (T1D) patients and diabetic complications. In this study, IGFBP6 was measured in the sera from 697 T1D patients and 681 healthy controls using a Luminex assay. Mean serum levels of IGFBP6 were higher in T1D patients than controls matched for sex and age (119.7 vs 130.6 ng/ml, p < 10-4). Subject age, sex and duration of disease have a significant impact on serum IGFBP6 levels in both T1D patients and healthy controls. -
Insight Into Bortezomib Focusing on Its Efficacy Against P-Gp-Positive
International Journal of Molecular Sciences Article Insight into Bortezomib Focusing on Its Efficacy against P-gp-Positive MDR Leukemia Cells Tomáš Kyca 1, Lucia Pavlíková 1,2, Viera Boháˇcová 1, Anton Mišák 3 , Alexandra Poturnayová 1, Albert Breier 1,4,* , Zdena Sulová 1,* and Mário Šereš 1,2,* 1 Institute of Molecular Physiology and Genetics, Centre of Biosciences, Slovak Academy of Sciences, Dúbravská cesta 9, 84505 Bratislava, Slovakia; [email protected] (T.K.); [email protected] (L.P.); [email protected] (V.B.); [email protected] (A.P.) 2 Institute of Zoology, Slovak Academy of Sciences, Dúbravská cesta 9, 84506 Bratislava, Slovakia 3 Institute for Clinical and Translational Research, Biomedical Research Center, Slovak Academy of Sciences, Dúbravská cesta 9, 84505 Bratislava, Slovakia; [email protected] 4 Institute of Biochemistry and Microbiology, Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Radlinského 9, 81237 Bratislava 1, Slovakia * Correspondence: [email protected] (A.B.); [email protected] (Z.S.); [email protected] (M.Š.); Tel.: +421-2-593-25-514 or +421-918-674-514 (A.B.); +421-2-3229-5510 (Z.S.) Abstract: In this paper, we compared the effects of bortezomib on L1210 (S) cells with its effects on P-glycoprotein (P-gp)-positive variant S cells, which expressed P-gp either after selection with vincristine (R cells) or after transfection with a human gene encoding P-gp (T cells). Bortezomib induced the death-related effects in the S, R, and T cells at concentrations not exceeding 10 nM. -
Anti-CD18 / LFA1 Beta Antibody (ARG41484)
Product datasheet [email protected] ARG41484 Package: 100 μl anti-CD18 / LFA1 beta antibody Store at: -20°C Summary Product Description Rabbit Polyclonal antibody recognizes CD18 / LFA1 beta Tested Reactivity Hu, Ms, Rat Tested Application ICC/IF, IHC-P, WB Host Rabbit Clonality Polyclonal Isotype IgG Target Name CD18 / LFA1 beta Antigen Species Human Immunogen Recombinant protein of Human CD18 / LFA1 beta. Conjugation Un-conjugated Alternate Names MF17; LAD; CD antigen CD18; MFI7; MAC-1; Cell surface adhesion glycoproteins LFA-1/CR3/p150,95 subunit beta; LCAMB; Integrin beta-2; Complement receptor C3 subunit beta; LFA-1; CD18 Application Instructions Application table Application Dilution ICC/IF 1:50 - 1:200 IHC-P 1:50 - 1:200 WB 1:500 - 1:2000 Application Note * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Positive Control Mouse thymus Calculated Mw 85 kDa Observed Size ~ 98 kDa Properties Form Liquid Purification Affinity purified. Buffer PBS (pH 7.3), 0.02% Sodium azide and 50% Glycerol. Preservative 0.02% Sodium azide Stabilizer 50% Glycerol Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw www.arigobio.com 1/3 cycles. Suggest spin the vial prior to opening. The antibody solution should be gently mixed before use. Note For laboratory research only, not for drug, diagnostic or other use. Bioinformation Gene Symbol ITGB2 Gene Full Name integrin, beta 2 (complement component 3 receptor 3 and 4 subunit) Background This gene encodes an integrin beta chain, which combines with multiple different alpha chains to form different integrin heterodimers. -
Insulin-Like Growth Factor Axis in Pregnancies Affected by Fetal Growth Disorders Aamod R
Nawathe et al. Clinical Epigenetics (2016) 8:11 DOI 10.1186/s13148-016-0178-5 RESEARCH Open Access Insulin-like growth factor axis in pregnancies affected by fetal growth disorders Aamod R. Nawathe1,2, Mark Christian3, Sung Hye Kim2, Mark Johnson1,2, Makrina D. Savvidou1,2 and Vasso Terzidou1,2* Abstract Background: Insulin-like growth factors 1 and 2 (IGF1 and IGF2) and their binding proteins (IGFBPs) are expressed in the placenta and known to regulate fetal growth. DNA methylation is an epigenetic mechanism which involves addition of methyl group to a cytosine base in the DNA forming a methylated cytosine-phosphate-guanine (CpG) dinucleotide which is known to silence gene expression. This silences gene expression, potentially altering the expression of IGFs and their binding proteins. This study investigates the relationship between DNA methylation of components of the IGF axis in the placenta and disorders in fetal growth. Placental samples were obtained from cord insertions immediately after delivery from appropriate, small (defined as birthweight <10th percentile for the gestation [SGA]) and macrosomic (defined as birthweight > the 90th percentile for the gestation [LGA]) neonates. Placental DNA methylation, mRNA expression and protein levels of components of the IGF axis were determined by pyrosequencing, rtPCR and Western blotting. Results: In the placenta from small for gestational age (SGA) neonates (n = 16), mRNA and protein levels of IGF1 were lower and of IGFBPs (1, 2, 3, 4 and 7) were higher (p < 0.05) compared to appropriately grown neonates (n =37).In contrast, in the placenta from large for gestational age (LGA) neonates (n = 20), mRNA and protein levels of IGF1 was not different and those of IGFBPs (1, 2, 3 and 4) were lower (p < 0.05) compared to appropriately grown neonates. -
Atpase, Na+/K+ Transporting, Alpha 3 Polypeptide Homologous to 3'UTR
HUGO ID Name Nalm-6 TOM-1 Reh Karpas-422 DoHH -2 SU-DHL-5 Namalwa DG-75 Ramos Raji BEL EHEB BONNA-12 L-428 DEL BCP-1 BC-3 BCBL-1 JSC-1 PEL-SY HBL-6 DS-1 RPMI-8226 NCI-H929 L-363 SK-MM-2 ATP1A3 ATPase, Na+/K+ transporting, alpha 3 polypeptide CD24 homologous to 3'UTR of human CD24 gene ABCC5 multidrug resistance-associated protein (MRP5) CD72 CD72 antigen TCL1A Tcell leukemia/lymphoma 1 ITGB2 Integrin, beta 2 (antigen CD18 (p95)) ? nuclear ribonucleoprotein particle (hnRNP) SGT1 suppressor of G2 allele of skp1 homolog DNMT 1 DNA (cytosine-5-)-methyltransferase 1 GALE UDP-Galactose 4 epimerase (GALE) HADHSC L-3-hydroxyacyl-CoA dehydrogenase LIG4 DNA ligase IV LIG1 Ligase I, DNA, ATP-dependent CEBPG CCAA T/enhancer binding protein (C/EBP), gamma DCK Deoxycytidine kinase TCEA1 TRANSCRIPTION ELONGATION FACTOR S-II TCN 1 TRANSCOBALAMIN I PRECURSOR POLA2 DNA polymerase alpha subunit CCNG2 cyclin G2 RNPC1 Finkel-Biskis-Reilly murine sarcoma virus; Human seb4D RNPC1 Finkel-Biskis-Reilly murine sarcoma virus; Human seb4D DGKD Diacylglycerol kinase delta KIAA0220 Polycystic kidney disease protein 1 KIAA0220 calcium-dependent group X phospholipase A2 KIAA0220 calcium-dependent group X phospholipase A2 ALDH5A1 NAD+-dependent succinate-semialdehyde dehydrogenase CCNG2 Polycystic kidney disease 1 (autosomal dominant) PDCD4 nuclear antigen H731-like protein SSH3BP1 eps8 binding protein e3B1 MAP4K2 B lymphocyte serine/threonine protein kinase (GC kinase) MAPRE2 novel T-cell activation protein ZNFN1A Ikaros/LyF-1 homolog (hIk-1) FLJ22624 clone 23799 KIAA0355 -
Rabbit Anti-Phospho-CD18-SL10462R-FITC
SunLong Biotech Co.,LTD Tel: 0086-571- 56623320 Fax:0086-571- 56623318 E-mail:[email protected] www.sunlongbiotech.com Rabbit Anti-Phospho-CD18 SL10462R-FITC Product Name: Anti-Phospho-CD18 (Thr758)/FITC Chinese Name: FITC标记的磷酸化整合素β2/Integrin β2抗体 CD18 (Phospho Thr758); CD18 (Phospho-Thr758); CD18 (Phospho T758); p-CD18 (T758); p-CD18 (Thr758); Integrin beta 2; 95 subunit beta; CD 18; CD18; Cell surface adhesion glycoprotein LFA 1/CR3/P150,959 beta subunit precursor); Cell surface adhesion glycoproteins LFA 1/CR3/p150,95 subunit beta; Cell surface adhesion glycoproteins LFA-1/CR3/p150; Complement receptor C3 beta subunit; Complement Alias: receptor C3 subunit beta; Integrin beta chain beta 2; Integrin beta-2; Integrin, beta 2 (complement component 3 receptor 3 and 4 subunit); ITB2_HUMAN; ITGB2; LAD; LCAMB; Leukocyte associated antigens CD18/11A, CD18/11B, CD18/11C; Leukocyte cell adhesion molecule CD18; LFA 1; LFA1; Lymphocyte function associated antigen 1; MAC 1; MAC1; MF17; MFI7; OTTHUMP00000115278; OTTHUMP00000115279; OTTHUMP00000115280; OTTHUMP00000115281; OTTHUMP00000115282. Organism Species: Rabbit Clonality: Polyclonal React Species: Human,Mouse,Rat,Chicken,Dog,Pig,Cow,Horse,Rabbit,Sheep,Guinea Pig, Flow-Cyt=1:50-200ICC=1:50-200IF=1:50-200www.sunlongbiotech.com Applications: not yet tested in other applications. optimal dilutions/concentrations should be determined by the end user. Molecular weight: 82kDa Form: Lyophilized or Liquid Concentration: 1mg/ml KLH conjugated synthesised phosphopeptide derived from human CD18 around the immunogen: phosphorylation site of Thr758 Lsotype: IgG Purification: affinity purified by Protein A Storage Buffer: 0.01M TBS(pH7.4) with 1% BSA, 0.03% Proclin300 and 50% Glycerol. Store at -20 °C for one year. -
Functional Gene Clusters in Global Pathogenesis of Clear Cell Carcinoma of the Ovary Discovered by Integrated Analysis of Transcriptomes
International Journal of Environmental Research and Public Health Article Functional Gene Clusters in Global Pathogenesis of Clear Cell Carcinoma of the Ovary Discovered by Integrated Analysis of Transcriptomes Yueh-Han Hsu 1,2, Peng-Hui Wang 1,2,3,4,5 and Chia-Ming Chang 1,2,* 1 Department of Obstetrics and Gynecology, Taipei Veterans General Hospital, Taipei 112, Taiwan; [email protected] (Y.-H.H.); [email protected] (P.-H.W.) 2 School of Medicine, National Yang-Ming University, Taipei 112, Taiwan 3 Institute of Clinical Medicine, National Yang-Ming University, Taipei 112, Taiwan 4 Department of Medical Research, China Medical University Hospital, Taichung 440, Taiwan 5 Female Cancer Foundation, Taipei 104, Taiwan * Correspondence: [email protected]; Tel.: +886-2-2875-7826; Fax: +886-2-5570-2788 Received: 27 April 2020; Accepted: 31 May 2020; Published: 2 June 2020 Abstract: Clear cell carcinoma of the ovary (ovarian clear cell carcinoma (OCCC)) is one epithelial ovarian carcinoma that is known to have a poor prognosis and a tendency for being refractory to treatment due to unclear pathogenesis. Published investigations of OCCC have mainly focused only on individual genes and lack of systematic integrated research to analyze the pathogenesis of OCCC in a genome-wide perspective. Thus, we conducted an integrated analysis using transcriptome datasets from a public domain database to determine genes that may be implicated in the pathogenesis involved in OCCC carcinogenesis. We used the data obtained from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) DataSets. We found six interactive functional gene clusters in the pathogenesis network of OCCC, including ribosomal protein, eukaryotic translation initiation factors, lactate, prostaglandin, proteasome, and insulin-like growth factor. -
Correction1 4784..4785
Correction Correction: PCI-24781 Induces Caspase and Reactive Oxygen Species-Dependent Apoptosis In the article on PCI-24781 induces caspase and reactive oxygen species-dependent apoptosis published in the May 15, 2009 issue of Clinical Cancer Research, there was an error in Table 1. Down-regulated genes were incorrectly labeled as up-regulated genes. The correct table appears here. Bhalla S, Balasubramanian S, David K, et al. PCI-24781 induces caspase and reactive oxygen species-dependent apoptosis through NF-nB mechanisms and is synergistic with bortezomib in lymphoma cells. Clin Cancer Res 2009;15:3354–65. Table 1. Selected genes from expression analysis following 24-h treatment with PCI-24781, bortezomib, or the combination (in Ramos cells) Accn # Down-regulated genes 0.25 Mmol/L PCI/3 nmol/L Bor Name PCI-24781 Bortezomib Combination* Cell cycle-related NM_000075 Cyclin-dependent kinase 4 (CDK4) 0.49 0.83 0.37 NM_001237 Cyclin A2 (CCNA2) 0.43 0.87 0.37 NM_001950 E2F transcription factor 4, p107/p130-binding (E2F4) 0.48 0.79 0.40 NM_001951 E2F transcription factor 5, p130-binding (E2F5) 0.46 0.98 0.43 NM_003903 CDC16 cell division cycle 16 homolog (S cerevisiae) (CDC16) 0.61 0.78 0.43 NM_031966 Cyclin B1 (CCNB1) 0.55 0.90 0.43 NM_001760 Cyclin D3 (CCND3) 0.48 1.02 0.46 NM_001255 CDC20 cell division cycle 20 homolog (S cerevisiae; CDC20) 0.61 0.82 0.46 NM_001262 Cyclin-dependent kinase inhibitor 2C (p18, inhibits CDK4; CDKN2C) 0.61 1.15 0.56 NM_001238 Cyclin E1 (CCNE1) 0.56 1.05 0.60 NM_001239 Cyclin H (CCNH) 0.74 0.90 0.64 NM_004701 -
Genome-Wide Transcript and Protein Analysis Reveals Distinct Features of Aging in the Mouse Heart
bioRxiv preprint doi: https://doi.org/10.1101/2020.08.28.272260; this version posted April 21, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Genome-wide transcript and protein analysis reveals distinct features of aging in the mouse heart Isabela Gerdes Gyuricza1, Joel M. Chick2, Gregory R. Keele1, Andrew G. Deighan1, Steven C. Munger1, Ron Korstanje1, Steven P. Gygi3, Gary A. Churchill1 1The Jackson Laboratory, Bar Harbor, Maine 04609 USA; 2Vividion Therapeutics, San Diego, California 92121, USA; 3Harvard Medical School, Boston, Massachusetts 02115, USA Corresponding author: [email protected] Key words for online indexing: Heart Aging Transcriptomics Proteomics eQTL pQTL Stoichiometry ABSTRACT Investigation of the molecular mechanisms of aging in the human heart is challenging due to confounding factors, such as diet and medications, as well limited access to tissues. The laboratory mouse provides an ideal model to study aging in healthy individuals in a controlled environment. However, previous mouse studies have examined only a narrow range of the genetic variation that shapes individual differences during aging. Here, we analyzed transcriptome and proteome data from hearts of genetically diverse mice at ages 6, 12 and 18 months to characterize molecular changes that occur in the aging heart. Transcripts and proteins reveal distinct biological processes that are altered through the course of natural aging. Transcriptome analysis reveals a scenario of cardiac hypertrophy, fibrosis, and reemergence of fetal gene expression patterns.