Lupus Nephritis Supp Table 5

Total Page:16

File Type:pdf, Size:1020Kb

Lupus Nephritis Supp Table 5 Supplementary Table 5 : Transcripts and DAVID pathways correlating with the expression of CD4 in lupus kidney biopsies Positive correlation Negative correlation Transcripts Pathways Transcripts Pathways Identifier Gene Symbol Correlation coefficient with CD4 Annotation Cluster 1 Enrichment Score: 26.47 Count P_Value Benjamini Identifier Gene Symbol Correlation coefficient with CD4 Annotation Cluster 1 Enrichment Score: 3.16 Count P_Value Benjamini ILMN_1727284 CD4 1 GOTERM_BP_FAT translational elongation 74 2.50E-42 1.00E-38 ILMN_1681389 C2H2 zinc finger protein-0.40001984 INTERPRO Ubiquitin-conjugating enzyme/RWD-like 17 2.00E-05 4.20E-02 ILMN_1772218 HLA-DPA1 0.934229063 SP_PIR_KEYWORDS ribosome 60 2.00E-41 4.60E-39 ILMN_1768954 RIBC1 -0.400186083 SMART UBCc 14 1.00E-04 3.50E-02 ILMN_1778977 TYROBP 0.933302249 KEGG_PATHWAY Ribosome 65 3.80E-35 6.60E-33 ILMN_1699190 SORCS1 -0.400223681 SP_PIR_KEYWORDS ubl conjugation pathway 81 1.30E-04 2.30E-02 ILMN_1689655 HLA-DRA 0.915891173 SP_PIR_KEYWORDS protein biosynthesis 91 4.10E-34 7.20E-32 ILMN_3249088 LOC93432 -0.400285215 GOTERM_MF_FAT small conjugating protein ligase activity 35 1.40E-04 4.40E-02 ILMN_3228688 HLA-DRB1 0.906190291 SP_PIR_KEYWORDS ribonucleoprotein 114 4.80E-34 6.70E-32 ILMN_1680436 CSH2 -0.400299744 SP_PIR_KEYWORDS ligase 54 1.50E-04 2.00E-02 ILMN_2157441 HLA-DRA 0.902996561 GOTERM_CC_FAT cytosolic ribosome 59 3.20E-33 2.30E-30 ILMN_1722755 KRTAP6-2 -0.400334007 GOTERM_MF_FAT acid-amino acid ligase activity 40 1.60E-04 4.00E-02 ILMN_2066066 HLA-DRB6 0.901531942 SP_PIR_KEYWORDS ribosomal protein 85 3.10E-29 3.60E-27 ILMN_3310171 MIR210 -0.400359894 INTERPRO Ubiquitin-conjugating enzyme, E2 14 2.10E-04 2.00E-01 ILMN_1736567 CD74 0.900464276 GOTERM_CC_FAT ribosomal subunit 70 6.50E-28 2.30E-25 ILMN_1799903 GALNTL1 -0.400392176 GOTERM_MF_FAT ubiquitin-protein ligase activity 31 3.60E-04 7.40E-02 ILMN_2366330 FERMT3 0.896532157 GOTERM_BP_FAT translation 122 6.60E-28 1.40E-24 ILMN_1754727 ARMCX5 -0.40044397 GOTERM_MF_FAT ligase activity, forming carbon-nitrogen bonds 43 3.90E-04 6.10E-02 ILMN_1815895 HLA-DRB1 0.895853418 GOTERM_CC_FAT cytosolic part 76 5.60E-27 1.30E-24 ILMN_1660020 LOC644662 -0.400562184 GOTERM_BP_FAT protein ubiquitination 25 1.40E-03 5.70E-01 ILMN_2379644 CD74 0.890964861 GOTERM_MF_FAT structural constituent of ribosome 79 6.80E-27 8.90E-24 ILMN_2369826 C16orf13 -0.400562661 GOTERM_BP_FAT protein modification by small protein conjugation 26 2.80E-03 6.00E-01 ILMN_2049536 TRPV2 0.889679914 GOTERM_CC_FAT ribonucleoprotein complex 160 2.50E-26 4.30E-24 ILMN_2206554 SLC35F5 -0.400563498 UP_SEQ_FEATURE active site:Glycyl thioester intermediate 16 4.70E-03 9.90E-01 ILMN_1718936 LST1 0.886044814 GOTERM_CC_FAT ribosome 90 7.50E-25 8.70E-23 ILMN_1853093 BG325888 -0.400578134 GOTERM_BP_FAT protein modification by small protein conjugation or removal 28 9.90E-03 8.80E-01 ILMN_1718558 PARP12 0.883825964 GOTERM_CC_FAT cytosolic small ribosomal subunit 30 1.80E-17 1.80E-15 ILMN_2331232 TNFRSF6B -0.400582848 KEGG_PATHWAY Ubiquitin mediated proteolysis 25 1.60E-02 7.80E-01 ILMN_3240316 TMSB4X 0.881816413 GOTERM_CC_FAT cytosolic large ribosomal subunit 29 3.10E-17 2.70E-15 ILMN_1700169 C15orf44 -0.400627977 GOTERM_CC_FAT ubiquitin ligase complex 16 5.60E-02 9.00E-01 ILMN_1683026 PSMB10 0.881679636 GOTERM_CC_FAT large ribosomal subunit 39 5.60E-17 8.70E-15 ILMN_1771689 EXD2 -0.400641297 Annotation Cluster 2 Enrichment Score: 2.83 Count P_Value Benjamini ILMN_2179837 BANF1 0.881663753 GOTERM_MF_FAT structural molecule activity 154 1.30E-15 5.80E-13 ILMN_1679134 NSMCE4A -0.400646612 GOTERM_BP_FAT dephosphorylation 41 5.20E-08 1.80E-04 ILMN_1786612 PSME2 0.881166328 GOTERM_CC_FAT small ribosomal subunit 32 7.30E-12 3.40E-10 ILMN_1838375 BM714348 -0.400665624 GOTERM_BP_FAT protein amino acid dephosphorylation 36 2.50E-07 4.40E-04 ILMN_1653828 CHFR 0.879799743 Annotation Cluster 2 Enrichment Score: 10.95 Count P_Value Benjamini ILMN_1653266 DNAJB14 -0.400749707 GOTERM_MF_FAT phosphoprotein phosphatase activity 41 4.70E-07 6.10E-04 ILMN_1754842 DLGAP4 0.875737515 GOTERM_CC_FAT intracellular non-membrane-bounded organelle 477 3.80E-16 2.30E-14 ILMN_1719316 TMED3 -0.400813303 GOTERM_MF_FAT phosphatase activity 54 6.40E-07 4.10E-04 ILMN_1668039 GYPC 0.874017008 GOTERM_CC_FAT non-membrane-bounded organelle 477 3.80E-16 2.30E-14 ILMN_3257233 AK126616 -0.400986267 GOTERM_MF_FAT protein tyrosine phosphatase activity 28 8.70E-06 3.70E-03 ILMN_1752340 ARF5 0.871364059 GOTERM_CC_FAT cytoskeleton 214 9.90E-03 1.30E-01 ILMN_1692276 GGPS1 -0.400992588 SP_PIR_KEYWORDS protein phosphatase 30 6.30E-05 1.40E-02 ILMN_1654319 HAPLN3 0.86967548 Annotation Cluster 3 Enrichment Score: 10.64 Count P_Value Benjamini ILMN_1790595 TFAP2E -0.401012982 UP_SEQ_FEATURE active site:Phosphocysteine intermediate 21 3.00E-04 7.30E-01 ILMN_2390299 PSMB8 0.868740369 GOTERM_CC_FAT intracellular organelle lumen 343 3.90E-14 2.50E-12 ILMN_1734559 SORD -0.401202426 INTERPRO Protein-tyrosine phosphatase, active site 22 3.20E-04 2.10E-01 Dual-specific/protein-tyrosine phosphatase, conserved ILMN_1747195 PSMB8 0.866391356 GOTERM_CC_FAT membrane-enclosed lumen 354 6.40E-14 3.70E-12 ILMN_1698731 SEC31B -0.401253836 INTERPRO region 20 7.80E-04 2.90E-01 ILMN_2176063 FCGR1C 0.866366101 GOTERM_CC_FAT organelle lumen 348 7.50E-14 4.10E-12 ILMN_1652333 FN3KRP -0.401355089 SMART PTPc 12 1.30E-03 2.10E-01 ILMN_2111739 MAN2C1 0.866279082 GOTERM_CC_FAT nuclear lumen 284 1.90E-12 9.40E-11 ILMN_2052863 RNF5 -0.401425107 INTERPRO Protein-tyrosine phosphatase 19 1.80E-03 4.80E-01 ILMN_1807277 IFI30 0.86456805 GOTERM_CC_FAT nucleoplasm 170 3.50E-07 1.50E-05 ILMN_3311095 MIR643 -0.401427458 INTERPRO Protein-tyrosine phosphatase, receptor/non-receptor type 12 2.30E-03 5.20E-01 ILMN_1794473 PHF17 0.863368562 GOTERM_CC_FAT nucleolus 138 1.30E-06 4.90E-05 ILMN_1663263 EPHA10 -0.401468095 UP_SEQ_FEATURE domain:Tyrosine-protein phosphatase 13 2.60E-02 1.00E+00 ILMN_1758250 TRAFD1 0.862805609 Annotation Cluster 4 Enrichment Score: 6.84 Count P_Value Benjamini ILMN_3255211 KIAA2015 -0.401494305 GOTERM_MF_FAT protein tyrosine/serine/threonine phosphatase activity 10 4.00E-02 8.30E-01 ILMN_1772359 LAPTM5 0.862504464 SP_PIR_KEYWORDS ubl conjugation 117 4.10E-08 2.20E-06 ILMN_1676548 BZW2 -0.401528449 SP_PIR_KEYWORDS tyrosine-specific phosphatase 7 9.90E-02 8.40E-01 cross-link:Glycyl lysine isopeptide (Lys-Gly) (interchain with G- ILMN_1679809 GSTP1 0.861629683 UP_SEQ_FEATURE Cter in ubiquitin) 53 4.50E-08 8.10E-05 ILMN_1709020 MYBL2 -0.401560655 SP_PIR_KEYWORDS phosphoric monoester hydrolase 12 1.00E-01 8.30E-01 ILMN_1651788 MAP3K11 0.861566346 SP_PIR_KEYWORDS isopeptide bond 69 1.70E-06 5.80E-05 ILMN_1651341 LOC401010 -0.40162232 INTERPRO Dual specificity phosphatase, catalytic domain 8 1.10E-01 1.00E+00 ILMN_1778360 PYGB 0.861254289 Annotation Cluster 5 Enrichment Score: 5.35 Count P_Value Benjamini ILMN_3285238 BX537874 -0.40162554 INTERPRO Protein-tyrosine phosphatase, dual specificity 7 1.90E-01 1.00E+00 ILMN_2349658 TSPO 0.860302388 GOTERM_BP_FAT macromolecular complex assembly 136 1.00E-07 7.20E-05 ILMN_1701239 SPRR2E -0.401647677 GOTERM_MF_FAT transmembrane receptor protein phosphatase activity 4 3.00E-01 9.90E-01 ILMN_1740015 CD14 0.858368684 GOTERM_BP_FAT macromolecular complex subunit organization 138 1.70E-06 3.10E-04 ILMN_2288290 CDY1B -0.4017477 UP_SEQ_FEATURE domain:Tyrosine-protein phosphatase 2 3 3.60E-01 1.00E+00 ILMN_1760683 SRSF9 0.857616844 GOTERM_BP_FAT cellular macromolecular complex assembly 73 2.10E-06 3.20E-04 ILMN_1674297 HCFC2 -0.401754371 UP_SEQ_FEATURE domain:Tyrosine-protein phosphatase 1 3 3.60E-01 1.00E+00 ILMN_2062468 IGFBP7 0.857204295 GOTERM_BP_FAT cellular macromolecular complex subunit organization 77 1.20E-05 1.20E-03 ILMN_1769071 XKRX -0.40180268 SMART DSPc 3 8.00E-01 1.00E+00 ILMN_1715024 LSS 0.857094666 GOTERM_BP_FAT protein complex assembly 99 4.10E-05 3.20E-03 ILMN_1773968 SERBP1 -0.401804507 Annotation Cluster 3 Enrichment Score: 2.62 Count P_Value Benjamini ILMN_1723706 GRAMD4 0.856571802 GOTERM_BP_FAT protein complex biogenesis 99 4.10E-05 3.20E-03 ILMN_2222163 HIST1H3B -0.401887856 SP_PIR_KEYWORDS ubl conjugation pathway 81 1.30E-04 2.30E-02 ILMN_1782057 ATP8B2 0.855792595 Annotation Cluster 6 Enrichment Score: 4.78 Count P_Value Benjamini ILMN_1781672 GAB1 -0.401901556 GOTERM_BP_FAT modification-dependent protein catabolic process 88 3.50E-04 2.70E-01 ILMN_2366041 ITM2C 0.855750662 SP_PIR_KEYWORDS mrna splicing 54 8.30E-08 3.90E-06 ILMN_1660852 ZC3H6 -0.401907906 GOTERM_BP_FAT modification-dependent macromolecule catabolic process 88 3.50E-04 2.70E-01 ILMN_1761464 CD74 0.854043623 SP_PIR_KEYWORDS mrna processing 61 4.30E-07 1.70E-05 ILMN_1736045 KCNJ16 -0.401981532 GOTERM_BP_FAT proteolysis involved in cellular protein catabolic process 88 1.40E-03 5.20E-01 ILMN_1689968 PLEKHO2 0.853935274 GOTERM_BP_FAT RNA splicing 69 4.80E-07 2.20E-04 ILMN_2389528 MTL5 -0.401986801 GOTERM_BP_FAT cellular protein catabolic process 88 1.70E-03 5.20E-01 ILMN_1680453 ITM2C 0.853816711 GOTERM_BP_FAT RNA processing 114 4.80E-07 2.00E-04 ILMN_1805842 FHL1 -0.401998765 GOTERM_BP_FAT cellular macromolecule catabolic process 102 2.30E-03 6.00E-01 ILMN_1691892 TAGLN2 0.853601352 GOTERM_BP_FAT mRNA metabolic process 83 1.00E-06 2.40E-04 ILMN_1791702 SMARCA2 -0.402008017 GOTERM_BP_FAT protein catabolic process 88 4.00E-03 6.70E-01 ILMN_1683271 TMSB4X 0.853486495 GOTERM_BP_FAT mRNA processing 74 1.50E-06 2.90E-04 ILMN_1806022 RNF212 -0.402016792 GOTERM_BP_FAT macromolecule catabolic process 106 5.70E-03 7.40E-01 ILMN_1785005
Recommended publications
  • Identification of BIRC6 As a Novel Intervention Target For
    Lamers et al. BMC Cancer 2012, 12:285 http://www.biomedcentral.com/1471-2407/12/285 RESEARCH ARTICLE Open Access Identification of BIRC6 as a novel intervention target for neuroblastoma therapy Fieke Lamers1, Linda Schild1, Jan Koster1, Frank Speleman2, Ingrid ra3, Ellen M Westerhout1, Peter van Sluis1, Rogier Versteeg1, Huib N Caron4 and Jan J Molenaar1,5* Abstract Background: Neuroblastoma are pediatric tumors of the sympathetic nervous system with a poor prognosis. Apoptosis is often deregulated in cancer cells, but only a few defects in apoptotic routes have been identified in neuroblastoma. Methods: Here we investigated genomic aberrations affecting genes of the intrinsic apoptotic pathway in neuroblastoma. We analyzed DNA profiling data (CGH and SNP arrays) and mRNA expression data of 31 genes of the intrinsic apoptotic pathway in a dataset of 88 neuroblastoma tumors using the R2 bioinformatic platform (http://r2.amc.nl). BIRC6 was selected for further analysis as a tumor driving gene. Knockdown experiments were performed using BIRC6 lentiviral shRNA and phenotype responses were analyzed by Western blot and MTT-assays. In addition, DIABLO levels and interactions were investigated with immunofluorescence and co-immunoprecipitation. Results: We observed frequent gain of the BIRC6 gene on chromosome 2, which resulted in increased mRNA expression. BIRC6 is an inhibitor of apoptosis protein (IAP), that can bind and degrade the cytoplasmic fraction of the pro-apoptotic protein DIABLO. DIABLO mRNA expression was exceptionally high in neuroblastoma but the protein was only detected in the mitochondria. Upon silencing of BIRC6 by shRNA, DIABLO protein levels increased and cells went into apoptosis. Co-immunoprecipitation confirmed direct interaction between DIABLO and BIRC6 in neuroblastoma cell lines.
    [Show full text]
  • Establishing the Pathogenicity of Novel Mitochondrial DNA Sequence Variations: a Cell and Molecular Biology Approach
    Mafalda Rita Avó Bacalhau Establishing the Pathogenicity of Novel Mitochondrial DNA Sequence Variations: a Cell and Molecular Biology Approach Tese de doutoramento do Programa de Doutoramento em Ciências da Saúde, ramo de Ciências Biomédicas, orientada pela Professora Doutora Maria Manuela Monteiro Grazina e co-orientada pelo Professor Doutor Henrique Manuel Paixão dos Santos Girão e pela Professora Doutora Lee-Jun C. Wong e apresentada à Faculdade de Medicina da Universidade de Coimbra Julho 2017 Faculty of Medicine Establishing the pathogenicity of novel mitochondrial DNA sequence variations: a cell and molecular biology approach Mafalda Rita Avó Bacalhau Tese de doutoramento do programa em Ciências da Saúde, ramo de Ciências Biomédicas, realizada sob a orientação científica da Professora Doutora Maria Manuela Monteiro Grazina; e co-orientação do Professor Doutor Henrique Manuel Paixão dos Santos Girão e da Professora Doutora Lee-Jun C. Wong, apresentada à Faculdade de Medicina da Universidade de Coimbra. Julho, 2017 Copyright© Mafalda Bacalhau e Manuela Grazina, 2017 Esta cópia da tese é fornecida na condição de que quem a consulta reconhece que os direitos de autor são pertença do autor da tese e do orientador científico e que nenhuma citação ou informação obtida a partir dela pode ser publicada sem a referência apropriada e autorização. This copy of the thesis has been supplied on the condition that anyone who consults it recognizes that its copyright belongs to its author and scientific supervisor and that no quotation from the
    [Show full text]
  • Supplemental Figure 1. Vimentin
    Double mutant specific genes Transcript gene_assignment Gene Symbol RefSeq FDR Fold- FDR Fold- FDR Fold- ID (single vs. Change (double Change (double Change wt) (single vs. wt) (double vs. single) (double vs. wt) vs. wt) vs. single) 10485013 BC085239 // 1110051M20Rik // RIKEN cDNA 1110051M20 gene // 2 E1 // 228356 /// NM 1110051M20Ri BC085239 0.164013 -1.38517 0.0345128 -2.24228 0.154535 -1.61877 k 10358717 NM_197990 // 1700025G04Rik // RIKEN cDNA 1700025G04 gene // 1 G2 // 69399 /// BC 1700025G04Rik NM_197990 0.142593 -1.37878 0.0212926 -3.13385 0.093068 -2.27291 10358713 NM_197990 // 1700025G04Rik // RIKEN cDNA 1700025G04 gene // 1 G2 // 69399 1700025G04Rik NM_197990 0.0655213 -1.71563 0.0222468 -2.32498 0.166843 -1.35517 10481312 NM_027283 // 1700026L06Rik // RIKEN cDNA 1700026L06 gene // 2 A3 // 69987 /// EN 1700026L06Rik NM_027283 0.0503754 -1.46385 0.0140999 -2.19537 0.0825609 -1.49972 10351465 BC150846 // 1700084C01Rik // RIKEN cDNA 1700084C01 gene // 1 H3 // 78465 /// NM_ 1700084C01Rik BC150846 0.107391 -1.5916 0.0385418 -2.05801 0.295457 -1.29305 10569654 AK007416 // 1810010D01Rik // RIKEN cDNA 1810010D01 gene // 7 F5 // 381935 /// XR 1810010D01Rik AK007416 0.145576 1.69432 0.0476957 2.51662 0.288571 1.48533 10508883 NM_001083916 // 1810019J16Rik // RIKEN cDNA 1810019J16 gene // 4 D2.3 // 69073 / 1810019J16Rik NM_001083916 0.0533206 1.57139 0.0145433 2.56417 0.0836674 1.63179 10585282 ENSMUST00000050829 // 2010007H06Rik // RIKEN cDNA 2010007H06 gene // --- // 6984 2010007H06Rik ENSMUST00000050829 0.129914 -1.71998 0.0434862 -2.51672
    [Show full text]
  • Efficacy and Mechanistic Evaluation of Tic10, a Novel Antitumor Agent
    University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2012 Efficacy and Mechanisticv E aluation of Tic10, A Novel Antitumor Agent Joshua Edward Allen University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Oncology Commons Recommended Citation Allen, Joshua Edward, "Efficacy and Mechanisticv E aluation of Tic10, A Novel Antitumor Agent" (2012). Publicly Accessible Penn Dissertations. 488. https://repository.upenn.edu/edissertations/488 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/488 For more information, please contact [email protected]. Efficacy and Mechanisticv E aluation of Tic10, A Novel Antitumor Agent Abstract TNF-related apoptosis-inducing ligand (TRAIL; Apo2L) is an endogenous protein that selectively induces apoptosis in cancer cells and is a critical effector in the immune surveillance of cancer. Recombinant TRAIL and TRAIL-agonist antibodies are in clinical trials for the treatment of solid malignancies due to the cancer-specific cytotoxicity of TRAIL. Recombinant TRAIL has a short serum half-life and both recombinant TRAIL and TRAIL receptor agonist antibodies have a limited capacity to perfuse to tissue compartments such as the brain, limiting their efficacy in certain malignancies. To overcome such limitations, we searched for small molecules capable of inducing the TRAIL gene using a high throughput luciferase reporter gene assay. We selected TRAIL-inducing compound 10 (TIC10) for further study based on its induction of TRAIL at the cell surface and its promising therapeutic index. TIC10 is a potent, stable, and orally active antitumor agent that crosses the blood-brain barrier and transcriptionally induces TRAIL and TRAIL-mediated cell death in a p53-independent manner.
    [Show full text]
  • Acetyl-Coa Synthetase 3 Promotes Bladder Cancer Cell Growth Under Metabolic Stress Jianhao Zhang1, Hongjian Duan1, Zhipeng Feng1,Xinweihan1 and Chaohui Gu2
    Zhang et al. Oncogenesis (2020) 9:46 https://doi.org/10.1038/s41389-020-0230-3 Oncogenesis ARTICLE Open Access Acetyl-CoA synthetase 3 promotes bladder cancer cell growth under metabolic stress Jianhao Zhang1, Hongjian Duan1, Zhipeng Feng1,XinweiHan1 and Chaohui Gu2 Abstract Cancer cells adapt to nutrient-deprived tumor microenvironment during progression via regulating the level and function of metabolic enzymes. Acetyl-coenzyme A (AcCoA) is a key metabolic intermediate that is crucial for cancer cell metabolism, especially under metabolic stress. It is of special significance to decipher the role acetyl-CoA synthetase short chain family (ACSS) in cancer cells confronting metabolic stress. Here we analyzed the generation of lipogenic AcCoA in bladder cancer cells under metabolic stress and found that in bladder urothelial carcinoma (BLCA) cells, the proportion of lipogenic AcCoA generated from glucose were largely reduced under metabolic stress. Our results revealed that ACSS3 was responsible for lipogenic AcCoA synthesis in BLCA cells under metabolic stress. Interestingly, we found that ACSS3 was required for acetate utilization and histone acetylation. Moreover, our data illustrated that ACSS3 promoted BLCA cell growth. In addition, through analyzing clinical samples, we found that both mRNA and protein levels of ACSS3 were dramatically upregulated in BLCA samples in comparison with adjacent controls and BLCA patients with lower ACSS3 expression were entitled with longer overall survival. Our data revealed an oncogenic role of ACSS3 via regulating AcCoA generation in BLCA and provided a promising target in metabolic pathway for BLCA treatment. 1234567890():,; 1234567890():,; 1234567890():,; 1234567890():,; Introduction acetyl-CoA synthetase short chain family (ACSS), which In cancer cells, considerable number of metabolic ligates acetate and CoA6.
    [Show full text]
  • Enzymatic Encoding Methods for Efficient Synthesis Of
    (19) TZZ__T (11) EP 1 957 644 B1 (12) EUROPEAN PATENT SPECIFICATION (45) Date of publication and mention (51) Int Cl.: of the grant of the patent: C12N 15/10 (2006.01) C12Q 1/68 (2006.01) 01.12.2010 Bulletin 2010/48 C40B 40/06 (2006.01) C40B 50/06 (2006.01) (21) Application number: 06818144.5 (86) International application number: PCT/DK2006/000685 (22) Date of filing: 01.12.2006 (87) International publication number: WO 2007/062664 (07.06.2007 Gazette 2007/23) (54) ENZYMATIC ENCODING METHODS FOR EFFICIENT SYNTHESIS OF LARGE LIBRARIES ENZYMVERMITTELNDE KODIERUNGSMETHODEN FÜR EINE EFFIZIENTE SYNTHESE VON GROSSEN BIBLIOTHEKEN PROCEDES DE CODAGE ENZYMATIQUE DESTINES A LA SYNTHESE EFFICACE DE BIBLIOTHEQUES IMPORTANTES (84) Designated Contracting States: • GOLDBECH, Anne AT BE BG CH CY CZ DE DK EE ES FI FR GB GR DK-2200 Copenhagen N (DK) HU IE IS IT LI LT LU LV MC NL PL PT RO SE SI • DE LEON, Daen SK TR DK-2300 Copenhagen S (DK) Designated Extension States: • KALDOR, Ditte Kievsmose AL BA HR MK RS DK-2880 Bagsvaerd (DK) • SLØK, Frank Abilgaard (30) Priority: 01.12.2005 DK 200501704 DK-3450 Allerød (DK) 02.12.2005 US 741490 P • HUSEMOEN, Birgitte Nystrup DK-2500 Valby (DK) (43) Date of publication of application: • DOLBERG, Johannes 20.08.2008 Bulletin 2008/34 DK-1674 Copenhagen V (DK) • JENSEN, Kim Birkebæk (73) Proprietor: Nuevolution A/S DK-2610 Rødovre (DK) 2100 Copenhagen 0 (DK) • PETERSEN, Lene DK-2100 Copenhagen Ø (DK) (72) Inventors: • NØRREGAARD-MADSEN, Mads • FRANCH, Thomas DK-3460 Birkerød (DK) DK-3070 Snekkersten (DK) • GODSKESEN,
    [Show full text]
  • Seq2pathway Vignette
    seq2pathway Vignette Bin Wang, Xinan Holly Yang, Arjun Kinstlick May 19, 2021 Contents 1 Abstract 1 2 Package Installation 2 3 runseq2pathway 2 4 Two main functions 3 4.1 seq2gene . .3 4.1.1 seq2gene flowchart . .3 4.1.2 runseq2gene inputs/parameters . .5 4.1.3 runseq2gene outputs . .8 4.2 gene2pathway . 10 4.2.1 gene2pathway flowchart . 11 4.2.2 gene2pathway test inputs/parameters . 11 4.2.3 gene2pathway test outputs . 12 5 Examples 13 5.1 ChIP-seq data analysis . 13 5.1.1 Map ChIP-seq enriched peaks to genes using runseq2gene .................... 13 5.1.2 Discover enriched GO terms using gene2pathway_test with gene scores . 15 5.1.3 Discover enriched GO terms using Fisher's Exact test without gene scores . 17 5.1.4 Add description for genes . 20 5.2 RNA-seq data analysis . 20 6 R environment session 23 1 Abstract Seq2pathway is a novel computational tool to analyze functional gene-sets (including signaling pathways) using variable next-generation sequencing data[1]. Integral to this tool are the \seq2gene" and \gene2pathway" components in series that infer a quantitative pathway-level profile for each sample. The seq2gene function assigns phenotype-associated significance of genomic regions to gene-level scores, where the significance could be p-values of SNPs or point mutations, protein-binding affinity, or transcriptional expression level. The seq2gene function has the feasibility to assign non-exon regions to a range of neighboring genes besides the nearest one, thus facilitating the study of functional non-coding elements[2]. Then the gene2pathway summarizes gene-level measurements to pathway-level scores, comparing the quantity of significance for gene members within a pathway with those outside a pathway.
    [Show full text]
  • Identification and Characterization of TPRKB Dependency in TP53 Deficient Cancers
    Identification and Characterization of TPRKB Dependency in TP53 Deficient Cancers. by Kelly Kennaley A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Molecular and Cellular Pathology) in the University of Michigan 2019 Doctoral Committee: Associate Professor Zaneta Nikolovska-Coleska, Co-Chair Adjunct Associate Professor Scott A. Tomlins, Co-Chair Associate Professor Eric R. Fearon Associate Professor Alexey I. Nesvizhskii Kelly R. Kennaley [email protected] ORCID iD: 0000-0003-2439-9020 © Kelly R. Kennaley 2019 Acknowledgements I have immeasurable gratitude for the unwavering support and guidance I received throughout my dissertation. First and foremost, I would like to thank my thesis advisor and mentor Dr. Scott Tomlins for entrusting me with a challenging, interesting, and impactful project. He taught me how to drive a project forward through set-backs, ask the important questions, and always consider the impact of my work. I’m truly appreciative for his commitment to ensuring that I would get the most from my graduate education. I am also grateful to the many members of the Tomlins lab that made it the supportive, collaborative, and educational environment that it was. I would like to give special thanks to those I’ve worked closely with on this project, particularly Dr. Moloy Goswami for his mentorship, Lei Lucy Wang, Dr. Sumin Han, and undergraduate students Bhavneet Singh, Travis Weiss, and Myles Barlow. I am also grateful for the support of my thesis committee, Dr. Eric Fearon, Dr. Alexey Nesvizhskii, and my co-mentor Dr. Zaneta Nikolovska-Coleska, who have offered guidance and critical evaluation since project inception.
    [Show full text]
  • Dual Proteome-Scale Networks Reveal Cell-Specific Remodeling of the Human Interactome
    bioRxiv preprint doi: https://doi.org/10.1101/2020.01.19.905109; this version posted January 19, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Dual Proteome-scale Networks Reveal Cell-specific Remodeling of the Human Interactome Edward L. Huttlin1*, Raphael J. Bruckner1,3, Jose Navarrete-Perea1, Joe R. Cannon1,4, Kurt Baltier1,5, Fana Gebreab1, Melanie P. Gygi1, Alexandra Thornock1, Gabriela Zarraga1,6, Stanley Tam1,7, John Szpyt1, Alexandra Panov1, Hannah Parzen1,8, Sipei Fu1, Arvene Golbazi1, Eila Maenpaa1, Keegan Stricker1, Sanjukta Guha Thakurta1, Ramin Rad1, Joshua Pan2, David P. Nusinow1, Joao A. Paulo1, Devin K. Schweppe1, Laura Pontano Vaites1, J. Wade Harper1*, Steven P. Gygi1*# 1Department of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA. 2Broad Institute, Cambridge, MA, 02142, USA. 3Present address: ICCB-Longwood Screening Facility, Harvard Medical School, Boston, MA, 02115, USA. 4Present address: Merck, West Point, PA, 19486, USA. 5Present address: IQ Proteomics, Cambridge, MA, 02139, USA. 6Present address: Vor Biopharma, Cambridge, MA, 02142, USA. 7Present address: Rubius Therapeutics, Cambridge, MA, 02139, USA. 8Present address: RPS North America, South Kingstown, RI, 02879, USA. *Correspondence: [email protected] (E.L.H.), [email protected] (J.W.H.), [email protected] (S.P.G.) #Lead Contact: [email protected] bioRxiv preprint doi: https://doi.org/10.1101/2020.01.19.905109; this version posted January 19, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.
    [Show full text]
  • PROTEOMIC ANALYSIS of HUMAN URINARY EXOSOMES. Patricia
    ABSTRACT Title of Document: PROTEOMIC ANALYSIS OF HUMAN URINARY EXOSOMES. Patricia Amalia Gonzales Mancilla, Ph.D., 2009 Directed By: Associate Professor Nam Sun Wang, Department of Chemical and Biomolecular Engineering Exosomes originate as the internal vesicles of multivesicular bodies (MVBs) in cells. These small vesicles (40-100 nm) have been shown to be secreted by most cell types throughout the body. In the kidney, urinary exosomes are released to the urine by fusion of the outer membrane of the MVBs with the apical plasma membrane of renal tubular epithelia. Exosomes contain apical membrane and cytosolic proteins and can be isolated using differential centrifugation. The analysis of urinary exosomes provides a non- invasive means of acquiring information about the physiological or pathophysiological state of renal cells. The overall objective of this research was to develop methods and knowledge infrastructure for urinary proteomics. We proposed to conduct a proteomic analysis of human urinary exosomes. The first objective was to profile the proteome of human urinary exosomes using liquid chromatography-tandem spectrometry (LC- MS/MS) and specialized software for identification of peptide sequences from fragmentation spectra. We unambiguously identified 1132 proteins. In addition, the phosphoproteome of human urinary exosomes was profiled using the neutral loss scanning acquisition mode of LC-MS/MS. The phosphoproteomic profiling identified 19 phosphorylation sites corresponding to 14 phosphoproteins. The second objective was to analyze urinary exosomes samples isolated from patients with genetic mutations. Polyclonal antibodies were generated to recognize epitopes on the gene products of these genetic mutations, NKCC2 and MRP4. The potential usefulness of urinary exosome analysis was demonstrated using the well-defined renal tubulopathy, Bartter syndrome type I and using the single nucleotide polymorphism in the ABCC4 gene.
    [Show full text]
  • Exploring the Metastatic Role of the Inhibitor of Apoptosis BIRC6 in Breast Cancer
    bioRxiv preprint doi: https://doi.org/10.1101/2021.04.08.438518; this version posted April 10, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Exploring the metastatic role of the inhibitor of apoptosis BIRC6 in Breast 2 Cancer 3 Corresponding author: Matias Luis Pidre, Pringles 3010, Lanús, Buenos Aires, Argentina, CP 1824 4 [email protected], mobile: +54 9 221 364 6836 5 AUTHORS 6 Santiago M. Gómez Bergna1; Abril Marchesini1; Leslie C. Amorós Morales1; Paula N. Arrías1; Hernán 7 G. Farina2; Víctor Romanowski1; M. Florencia Gottardo2*; Matias L. Pidre1*. 8 *Both authors equally contributed to this work. 9 AUTHOR AFFILIATIONS 10 1Instituto de Biotecnología y biología molecular (IBBM-CONICET-UNLP) 11 2Center of Molecular & Translational Oncology, Department of Science and Technology, 12 National University of Quilmes, Buenos Aires, Argentina. 13 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.04.08.438518; this version posted April 10, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 14 Abstract 15 Breast cancer is the most common cancer as well as the first cause of death by cancer in 16 women worldwide. BIRC6 (baculoviral IAP repeat-containing protein 6) is a member of the 17 inhibitors of apoptosis protein family thought to play an important role in the progression or 18 chemoresistance of many cancers. The aim of the present work was to investigate the role of 19 apoptosis inhibitor BIRC6 in breast cancer, focusing particularly on its involvement in the 20 metastatic cascade.
    [Show full text]
  • ONLINE SUPPLEMENTARY TABLE Table 2. Differentially Expressed
    ONLINE SUPPLEMENTARY TABLE Table 2. Differentially Expressed Probe Sets in Livers of GK Rats. A. Immune/Inflammatory (67 probe sets, 63 genes) Age Strain Probe ID Gene Name Symbol Accession Gene Function 5 WKY 1398390_at small inducible cytokine B13 precursor Cxcl13 AA892854 chemokine activity; lymph node development 5 WKY 1389581_at interleukin 33 Il33 BF390510 cytokine activity 5 WKY *1373970_at interleukin 33 Il33 AI716248 cytokine activity 5 WKY 1369171_at macrophage stimulating 1 (hepatocyte growth factor-like) Mst1; E2F2 NM_024352 serine-throenine kinase; tumor suppression 5 WKY 1388071_x_at major histocompatability antigen Mhc M24024 antigen processing and presentation 5 WKY 1385465_at sialic acid binding Ig-like lectin 5 Siglec5 BG379188 sialic acid-recognizing receptor 5 WKY 1393108_at major histocompatability antigen Mhc BM387813 antigen processing and presentation 5 WKY 1388202_at major histocompatability antigen Mhc BI395698 antigen processing and presentation 5 WKY 1371171_at major histocompatability antigen Mhc M10094 antigen processing and presentation 5 WKY 1370382_at major histocompatability antigen Mhc BI279526 antigen processing and presentation 5 WKY 1371033_at major histocompatability antigen Mhc AI715202 antigen processing and presentation 5 WKY 1383991_at leucine rich repeat containing 8 family, member E Lrrc8e BE096426 proliferation and activation of lymphocytes and monocytes. 5 WKY 1383046_at complement component factor H Cfh; Fh AA957258 regulation of complement cascade 4 WKY 1369522_a_at CD244 natural killer
    [Show full text]