Expression and Function of IA-2 Family Proteins, Unique Neuroendocrine-Specific Protein-Tyrosine Phosphatases

Total Page:16

File Type:pdf, Size:1020Kb

Expression and Function of IA-2 Family Proteins, Unique Neuroendocrine-Specific Protein-Tyrosine Phosphatases Endocr. J./ S. TORII: ROLE OF IA-2 FAMILY PROTEINS doi: 10.1507/endocrj.K09E-157 Advance Publication ORIGINAL Expression and Function of IA-2 Family Proteins, Unique Neuroendocrine-specific Protein-tyrosine Phosphatases Seiji TORII Secretion Biology Lab, Institute for Molecular and Cellular Regulation, Gunma University, Maebashi 371-8512, Japan Received June 1, 2009; Accepted June 1, 2009; Released online June 24, 2009 Correspondence to: Seiji Torii, Ph.D., Department of Molecular Medicine, Institute for Molecular and Cellular Regulation, Gunma University, Showa 3-39-15, Maebashi, Gunma 371-8512, Japan Abstract. IA-2 (also known as islet cell antigen ICA-512) and IA-2β (also known as phogrin, phosphatase homologue in granules of insulinoma) are major autoantigens in insulin-dependent diabetes mellitus (IDDM). Autoantibodies against both proteins are expressed years before clinical onset, and they become predictive markers for high-risk subjects. However, the role of these genes in the IDDM pathogenesis has been reported fairly negative by recent studies. IA-2 and IA-2β are type I transmembrane proteins that possess one inactive protein-tyrosine phosphatase (PTP) domain in the cytoplasmic region, and act as one of the constituents of regulated secretory pathways in various neuroendocrine cell types including pancreatic β-cells. Existence of IA-2 homologues in different species suggests a fundamental role in neuroendocrine function. Studies of knockout animals have shown their involvement in maintaining hormone content, however, their specific steps in the secretory pathway IA-2 functions as well as their molecular mechanisms in the hormone content regulation are still unknown. More recent studies have suggested a novel function showing that they contribute to pancreatic β-cell growth. This review attempts to show the possible biological functions of IA-2 family, focusing on their expression and localization in the neuroendocrine cells. Key words: Insulin, Secretory granule, Dense-core vesicle, Peptide hormone, Diabetes THE IA-2 genes constitute an evolutionarily conserved family, and there is one IA-2 gene in Caenorhabditis elegans and in Drosophila, and two in the vertebrates [1-5]. The domain structure is conserved among species as represented in Figure 1. The N-terminal pro domain has been suggested to be implicated in sorting or targeting to hormone-containing secretory granules [6], which is then removed by proteolytic cleavage for the protein maturation [2, 7, 8]. This is followed by an intragranular or extracellular domain called matN domain [6], whose crystallographic structure of human IA-2 resembles that of the SEA domain of mucin [9]. Following the transmembrane region, there is a highly homologous cytoplasmic region that contains one protein tyrosine phosphatase (PTP) domain. IA-2 proteins are synthesized on the rough endoplasmic reticulum as a precursor of 100-120 kDa which is then converted by post-translational modifications such as N-glycosylation into a 110-130 kDa protein, and after exiting from or within the trans-Golgi network (TGN), they are cleaved to generate a mature protein of 60-70 kDa [7, 10]. The dibasic consensus sequence recognized by pro-hormone convertases (PC1/3 or PC2 in mammals, EGL-3 in worm) is commonly present in IA-2 family proteins, however, other mature IA-2β proteins with distinct cleavage sites have recently been detected in mouse brain and pancreatic β-cell [11]. Three spliced transcripts of human IA-2β/phogrin gene have been reported (GenBank database), and 1 Endocr. J./ S. TORII: ROLE OF IA-2 FAMILY PROTEINS doi: 10.1507/endocrj.K09E-157 Drosophila ia2 has been found to have two isoforms as well [12], although the functional difference of each isoform is unknown. On the other hand, a splice variant of human IA-2/ICA512 lacking exon 13 (encodes the transmembrane region) has been discovered in thymus and spleen as well as in pancreas, and it may play a role in the development of autoimmune response to IA-2 protein [13, 14]. IA-2 and IA-2β genes were designated as protein tyrosine phosphatase receptor type N (PTPRN) and protein tyrosine phosphatase receptor type N2 (PTPRN2), respectively, belonging to the IA-2 family which is a part of the PTP superfamily [15]. These proteins show highest homology in the C-terminal PTP domain, and of note, the PTP active site consensus sequence has several amino acids substitutions at conserved sites critical for enzyme activity. IA-2 and IA-2β fail to show phosphatase activity for general PTP substrates but enzyme activity is restored by changing these amino acids to typical consensus residues [16-19]. The lack of phosphatase activity is elucidated by the crystal structure of the PTP domain of human IA-2, which reveals a canonical PTP domain with the closed WPD loop (WPAE in IA-2) over the active site pocket [20]. Since the amino acid substitutions in the catalytic domain are evolutionarily conserved, inactive PTP structure is likely required for physiological function of IA-2 family proteins. Interestingly, Gross et al. has demonstrated that the PTP portion of IA-2 and IA-2β is able to heterodimerize with other receptor-type PTPs such as RPTPα and RPTPε and prevent their activity in a transient expression system [21], however, this function remains to be established at the physiological level. Specific localization to dense-core secretory granules The IA-2 family members are predominantly expressed in neuroendocrine cells that possess regulated secretory granules. Transgenic worms have shown an ida-1 (IA-2 in C. elegans) expression in peptidergic neurons [5, 22], whereas in situ hybridization has revealed that ia2 in drosophila is expressed in the central nervous system and in the midgut region [5, 12]. IA-2 protein in mammals has been detected in peptidergic neurons in the central nervous system, endocrine cells in pancreatic islets, adrenal medullary cells, and pituitary cells [2, 22]. Analyses of tissues from IA-2 knockout mice with specific monoclonal antibodies have recently confirmed mature IA-2 expression in the neurites of enteric neuronal cells in the muscular layers of the stomach, small intestine, and colon [23]. IA-2β shows a similar tissue distribution, namely, it is highly expressed in brain and pancreatic islets, and its weak expression in the stomach has been reported by several studies [3, 7, 24, 25]. Consistent with these results, simultaneous expressions of IA-2 and IA-2β have been observed in several neuroendocrine cell lines, such as pancreatic β-cell-derived MIN6 and INS-1, pancreatic α-cell-derived αTC-1, and adrenal medulla-derived PC12 [3, 7, 26, 27]. IA-2 and IA-2β have similar structures and distributions, however their expression is regulated distinctly. IA-2 expression increases in accordance to development in rodent tissues, such as the islet and brain [28-30]. Furthermore, IA-2 expression in pancreatic β-cells is induced by glucose, insulin, and cAMP-generating agents (30, 31), whereas proinflammatory cytokines such as IL-1β, TNF-α, and IFN-γ, cause a down-regulation of the IA-2 level [32]. It is thus suggested that IA-2 expression appears concomitant with the development of cellular secretory responses [33]. In contrast, IA-2β shows a more persistent pattern of expression in the developmental stage of islets than IA-2 [25], and its expression is not significantly affected by glucose levels [30]. Glucose stimulation in β-cells instead causes Ca2+-dependent phosphorylation of IA-2β protein that is mediated by protein kinase A [34]. On the other hand, administration of ghrelin, an appetite-regulating peptide, increases mRNA levels of IA-2β but not those of IA-2 in mouse brain and pancreas [35]. Although the chromosomal localization and structure of several IA-2 genes are found in database, analysis of their transcriptional regulatory region is still unexplored. The IA-2 family proteins are thought to be one of the mediators of the regulated 2 Endocr. J./ S. TORII: ROLE OF IA-2 FAMILY PROTEINS doi: 10.1507/endocrj.K09E-157 secretory pathway because of their restricted expression. Indeed, IA2 and IA-2β are present on dense-core secretory granules (SGs) together with specific peptide hormones or neuropeptides [2, 6, 23, 27]. Immunoelectron microscopic analyses have revealed the localization of IA-2 on dense-core granules in mouse posterior pituitary [2] and colocalization of IA-2β with insulin in pancreatic β-cells [36] (Figure 2). Although a physiological role is unclear, IA-2 and IA-2β are suggested to form a heterodimer in a cell [21], such as a pancreatic β-cell (Torii, unpublished observation). These localization studies suggest that both proteins appear functionally similar. Segregation of proteins into constitutive secretory vesicles and dense-core granules occurs at the TGN or in immature secretory granule (ISG) (Figure 3). Selective packaging of peptide hormones and their associated proteins into SGs may require molecular mechanisms including several sorting domains for specific protein-protein and protein-lipid interactions and selective aggregation of secretory proteins for retention in the granules [37, 38]. Recent observations on IA-2β suggest that the luminal pro domain contributes to its sorting into SGs [6] and the trafficking signals within the cytoplasmic tail play an essential role in its steady-state localization to SGs [39, 40]. The trafficking signals correspond to a tyrosin-based sorting motif (YQE/DL) and a leucine-based sorting motif (EExxxI/LL), and these sequences are well conserved among the family proteins in the species (Figure 1) [39, 40]. Both cytoplasmic signals are involved in the trafficking of mature IA-2β protein at the plasma membrane (endocytosis), presumably through the interaction with AP-2 clathrin-adaptor complexes [39, 40]. When cultured cells are incubated with the specific antibody directed against luminal domain of IA-2 or IA-2β, it binds to the cell surface protein and then accesses SGs during stimulation of exocytotic events [2, 41].
Recommended publications
  • 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.
    [Show full text]
  • Supp Table 1.Pdf
    Upregulated genes in Hdac8 null cranial neural crest cells fold change Gene Symbol Gene Title 134.39 Stmn4 stathmin-like 4 46.05 Lhx1 LIM homeobox protein 1 31.45 Lect2 leukocyte cell-derived chemotaxin 2 31.09 Zfp108 zinc finger protein 108 27.74 0710007G10Rik RIKEN cDNA 0710007G10 gene 26.31 1700019O17Rik RIKEN cDNA 1700019O17 gene 25.72 Cyb561 Cytochrome b-561 25.35 Tsc22d1 TSC22 domain family, member 1 25.27 4921513I08Rik RIKEN cDNA 4921513I08 gene 24.58 Ofa oncofetal antigen 24.47 B230112I24Rik RIKEN cDNA B230112I24 gene 23.86 Uty ubiquitously transcribed tetratricopeptide repeat gene, Y chromosome 22.84 D8Ertd268e DNA segment, Chr 8, ERATO Doi 268, expressed 19.78 Dag1 Dystroglycan 1 19.74 Pkn1 protein kinase N1 18.64 Cts8 cathepsin 8 18.23 1500012D20Rik RIKEN cDNA 1500012D20 gene 18.09 Slc43a2 solute carrier family 43, member 2 17.17 Pcm1 Pericentriolar material 1 17.17 Prg2 proteoglycan 2, bone marrow 17.11 LOC671579 hypothetical protein LOC671579 17.11 Slco1a5 solute carrier organic anion transporter family, member 1a5 17.02 Fbxl7 F-box and leucine-rich repeat protein 7 17.02 Kcns2 K+ voltage-gated channel, subfamily S, 2 16.93 AW493845 Expressed sequence AW493845 16.12 1600014K23Rik RIKEN cDNA 1600014K23 gene 15.71 Cst8 cystatin 8 (cystatin-related epididymal spermatogenic) 15.68 4922502D21Rik RIKEN cDNA 4922502D21 gene 15.32 2810011L19Rik RIKEN cDNA 2810011L19 gene 15.08 Btbd9 BTB (POZ) domain containing 9 14.77 Hoxa11os homeo box A11, opposite strand transcript 14.74 Obp1a odorant binding protein Ia 14.72 ORF28 open reading
    [Show full text]
  • Comprehensive Protein Tyrosine Phosphatase Mrna Profiling Identifies New Regulators in the Progression of Glioma Annika M
    Bourgonje et al. Acta Neuropathologica Communications (2016) 4:96 DOI 10.1186/s40478-016-0372-x RESEARCH Open Access Comprehensive protein tyrosine phosphatase mRNA profiling identifies new regulators in the progression of glioma Annika M. Bourgonje1, Kiek Verrijp2, Jan T. G. Schepens1, Anna C. Navis2, Jolanda A. F. Piepers1, Chantal B. C. Palmen1, Monique van den Eijnden4, Rob Hooft van Huijsduijnen4, Pieter Wesseling2,3, William P. J. Leenders2 and Wiljan J. A. J. Hendriks1* Abstract The infiltrative behavior of diffuse gliomas severely reduces therapeutic potential of surgical resection and radiotherapy, and urges for the identification of new drug-targets affecting glioma growth and migration. To address the potential role of protein tyrosine phosphatases (PTPs), we performed mRNA expression profiling for 91 of the 109 known human PTP genes on a series of clinical diffuse glioma samples of different grades and compared our findings with in silico knowledge from REMBRANDT and TCGA databases. Overall PTP family expression levels appeared independent of characteristic genetic aberrations associated with lower grade or high grade gliomas. Notably, seven PTP genes (DUSP26, MTMR4, PTEN, PTPRM, PTPRN2, PTPRT and PTPRZ1) were differentially expressed between grade II-III gliomas and (grade IV) glioblastomas. For DUSP26, PTEN, PTPRM and PTPRT, lower expression levels correlated with poor prognosis, and overexpression of DUSP26 or PTPRT in E98 glioblastoma cells reduced tumorigenicity. Our study represents the first in-depth analysis of PTP family expression in diffuse glioma subtypes and warrants further investigations into PTP-dependent signaling events as new entry points for improved therapy. Keywords: Glioblastoma, Astrocytoma, EGFR, Oligodendroglioma, IDH1, DUSP26, MTMR4, PTEN, PTP, PTPRM, PTPRN2, PTPRT, PTPRZ1, Malignancy Introduction has slightly improved over the past decades, the prospect Gliomas arise from glial (precursor) cells and represent with current treatment is only a median 15 months fol- the most frequent type of primary brain tumor.
    [Show full text]
  • RT² Profiler PCR Array (96-Well Format and 384-Well [4 X 96] Format)
    RT² Profiler PCR Array (96-Well Format and 384-Well [4 x 96] Format) Human Protein Phosphatases Cat. no. 330231 PAHS-045ZA For pathway expression analysis Format For use with the following real-time cyclers RT² Profiler PCR Array, Applied Biosystems® models 5700, 7000, 7300, 7500, Format A 7700, 7900HT, ViiA™ 7 (96-well block); Bio-Rad® models iCycler®, iQ™5, MyiQ™, MyiQ2; Bio-Rad/MJ Research Chromo4™; Eppendorf® Mastercycler® ep realplex models 2, 2s, 4, 4s; Stratagene® models Mx3005P®, Mx3000P®; Takara TP-800 RT² Profiler PCR Array, Applied Biosystems models 7500 (Fast block), 7900HT (Fast Format C block), StepOnePlus™, ViiA 7 (Fast block) RT² Profiler PCR Array, Bio-Rad CFX96™; Bio-Rad/MJ Research models DNA Format D Engine Opticon®, DNA Engine Opticon 2; Stratagene Mx4000® RT² Profiler PCR Array, Applied Biosystems models 7900HT (384-well block), ViiA 7 Format E (384-well block); Bio-Rad CFX384™ RT² Profiler PCR Array, Roche® LightCycler® 480 (96-well block) Format F RT² Profiler PCR Array, Roche LightCycler 480 (384-well block) Format G RT² Profiler PCR Array, Fluidigm® BioMark™ Format H Sample & Assay Technologies Description The Human Protein Phosphatases RT² Profiler PCR Array profiles the gene expression of the 84 most important and well-studied phosphatases in the mammalian genome. By reversing the phosphorylation of key regulatory proteins mediated by protein kinases, phosphatases serve as a very important complement to kinases and attenuate activated signal transduction pathways. The gene classes on this array include both receptor and non-receptor tyrosine phosphatases, catalytic subunits of the three major protein phosphatase gene families, the dual specificity phosphatases, as well as cell cycle regulatory and other protein phosphatases.
    [Show full text]
  • DDIAS Promotes STAT3 Activation by Preventing STAT3 Recruitment To
    Im et al. Oncogenesis (2020)9:1 https://doi.org/10.1038/s41389-019-0187-2 Oncogenesis ARTICLE Open Access DDIAS promotes STAT3 activation by preventing STAT3 recruitment to PTPRM in lung cancer cells Joo-Young Im 1,Bo-KyungKim 1,Kang-WooLee2, So-Young Chun1, Mi-Jung Kang1 and Misun Won1,3 Abstract DNA damage-induced apoptosis suppressor (DDIAS) regulates cancer cell survival. Here we investigated the involvement of DDIAS in IL-6–mediated signaling to understand the mechanism underlying the role of DDIAS in lung cancer malignancy. We showed that DDIAS promotes tyrosine phosphorylation of signal transducer and activator of transcription 3 (STAT3), which is constitutively activated in malignant cancers. Interestingly, siRNA protein tyrosine phosphatase (PTP) library screening revealed protein tyrosine phosphatase receptor mu (PTPRM) as a novel STAT3 PTP. PTPRM knockdown rescued the DDIAS-knockdown-mediated decrease in STAT3 Y705 phosphorylation in the presence of IL-6. However, PTPRM overexpression decreased STAT3 Y705 phosphorylation. Moreover, endogenous PTPRM interacted with endogenous STAT3 for dephosphorylation at Y705 following IL-6 treatment. As expected, PTPRM bound to wild-type STAT3 but not the STAT3 Y705F mutant. PTPRM dephosphorylated STAT3 in the absence of DDIAS, suggesting that DDIAS hampers PTPRM/STAT3 interaction. In fact, DDIAS bound to the STAT3 transactivation domain (TAD), which competes with PTPRM to recruit STAT3 for dephosphorylation. Thus we show that DDIAS prevents PTPRM/STAT3 binding and blocks STAT3 Y705 dephosphorylation, thereby sustaining STAT3 activation in lung cancer. DDIAS expression strongly correlates with STAT3 phosphorylation in human lung cancer cell lines and tissues. Thus DDIAS may be considered as a potential biomarker and therapeutic target in malignant lung cancer cells with aberrant STAT3 activation.
    [Show full text]
  • PDF Hosted at the Radboud Repository of the Radboud University Nijmegen
    PDF hosted at the Radboud Repository of the Radboud University Nijmegen The following full text is a publisher's version. For additional information about this publication click this link. http://hdl.handle.net/2066/170209 Please be advised that this information was generated on 2021-09-28 and may be subject to change. Bourgonje et al. Acta Neuropathologica Communications (2016) 4:96 DOI 10.1186/s40478-016-0372-x RESEARCH Open Access Comprehensive protein tyrosine phosphatase mRNA profiling identifies new regulators in the progression of glioma Annika M. Bourgonje1, Kiek Verrijp2, Jan T. G. Schepens1, Anna C. Navis2, Jolanda A. F. Piepers1, Chantal B. C. Palmen1, Monique van den Eijnden4, Rob Hooft van Huijsduijnen4, Pieter Wesseling2,3, William P. J. Leenders2 and Wiljan J. A. J. Hendriks1* Abstract The infiltrative behavior of diffuse gliomas severely reduces therapeutic potential of surgical resection and radiotherapy, and urges for the identification of new drug-targets affecting glioma growth and migration. To address the potential role of protein tyrosine phosphatases (PTPs), we performed mRNA expression profiling for 91 of the 109 known human PTP genes on a series of clinical diffuse glioma samples of different grades and compared our findings with in silico knowledge from REMBRANDT and TCGA databases. Overall PTP family expression levels appeared independent of characteristic genetic aberrations associated with lower grade or high grade gliomas. Notably, seven PTP genes (DUSP26, MTMR4, PTEN, PTPRM, PTPRN2, PTPRT and PTPRZ1) were differentially expressed between grade II-III gliomas and (grade IV) glioblastomas. For DUSP26, PTEN, PTPRM and PTPRT, lower expression levels correlated with poor prognosis, and overexpression of DUSP26 or PTPRT in E98 glioblastoma cells reduced tumorigenicity.
    [Show full text]
  • Live-Cell Imaging Rnai Screen Identifies PP2A–B55α and Importin-Β1 As Key Mitotic Exit Regulators in Human Cells
    LETTERS Live-cell imaging RNAi screen identifies PP2A–B55α and importin-β1 as key mitotic exit regulators in human cells Michael H. A. Schmitz1,2,3, Michael Held1,2, Veerle Janssens4, James R. A. Hutchins5, Otto Hudecz6, Elitsa Ivanova4, Jozef Goris4, Laura Trinkle-Mulcahy7, Angus I. Lamond8, Ina Poser9, Anthony A. Hyman9, Karl Mechtler5,6, Jan-Michael Peters5 and Daniel W. Gerlich1,2,10 When vertebrate cells exit mitosis various cellular structures can contribute to Cdk1 substrate dephosphorylation during vertebrate are re-organized to build functional interphase cells1. This mitotic exit, whereas Ca2+-triggered mitotic exit in cytostatic-factor- depends on Cdk1 (cyclin dependent kinase 1) inactivation arrested egg extracts depends on calcineurin12,13. Early genetic studies in and subsequent dephosphorylation of its substrates2–4. Drosophila melanogaster 14,15 and Aspergillus nidulans16 reported defects Members of the protein phosphatase 1 and 2A (PP1 and in late mitosis of PP1 and PP2A mutants. However, the assays used in PP2A) families can dephosphorylate Cdk1 substrates in these studies were not specific for mitotic exit because they scored pro- biochemical extracts during mitotic exit5,6, but how this relates metaphase arrest or anaphase chromosome bridges, which can result to postmitotic reassembly of interphase structures in intact from defects in early mitosis. cells is not known. Here, we use a live-cell imaging assay and Intracellular targeting of Ser/Thr phosphatase complexes to specific RNAi knockdown to screen a genome-wide library of protein substrates is mediated by a diverse range of regulatory and targeting phosphatases for mitotic exit functions in human cells. We subunits that associate with a small group of catalytic subunits3,4,17.
    [Show full text]
  • Phosphatases Page 1
    Phosphatases esiRNA ID Gene Name Gene Description Ensembl ID HU-05948-1 ACP1 acid phosphatase 1, soluble ENSG00000143727 HU-01870-1 ACP2 acid phosphatase 2, lysosomal ENSG00000134575 HU-05292-1 ACP5 acid phosphatase 5, tartrate resistant ENSG00000102575 HU-02655-1 ACP6 acid phosphatase 6, lysophosphatidic ENSG00000162836 HU-13465-1 ACPL2 acid phosphatase-like 2 ENSG00000155893 HU-06716-1 ACPP acid phosphatase, prostate ENSG00000014257 HU-15218-1 ACPT acid phosphatase, testicular ENSG00000142513 HU-09496-1 ACYP1 acylphosphatase 1, erythrocyte (common) type ENSG00000119640 HU-04746-1 ALPL alkaline phosphatase, liver ENSG00000162551 HU-14729-1 ALPP alkaline phosphatase, placental ENSG00000163283 HU-14729-1 ALPP alkaline phosphatase, placental ENSG00000163283 HU-14729-1 ALPPL2 alkaline phosphatase, placental-like 2 ENSG00000163286 HU-07767-1 BPGM 2,3-bisphosphoglycerate mutase ENSG00000172331 HU-06476-1 BPNT1 3'(2'), 5'-bisphosphate nucleotidase 1 ENSG00000162813 HU-09086-1 CANT1 calcium activated nucleotidase 1 ENSG00000171302 HU-03115-1 CCDC155 coiled-coil domain containing 155 ENSG00000161609 HU-09022-1 CDC14A CDC14 cell division cycle 14 homolog A (S. cerevisiae) ENSG00000079335 HU-11533-1 CDC14B CDC14 cell division cycle 14 homolog B (S. cerevisiae) ENSG00000081377 HU-06323-1 CDC25A cell division cycle 25 homolog A (S. pombe) ENSG00000164045 HU-07288-1 CDC25B cell division cycle 25 homolog B (S. pombe) ENSG00000101224 HU-06033-1 CDKN3 cyclin-dependent kinase inhibitor 3 ENSG00000100526 HU-02274-1 CTDSP1 CTD (carboxy-terminal domain,
    [Show full text]
  • Aberrant Expression of Proptprn2 in Cancer Cells Confers Resistance to Apoptosis Alexey V
    Published OnlineFirst April 15, 2015; DOI: 10.1158/0008-5472.CAN-14-2718 Cancer Molecular and Cellular Pathobiology Research Aberrant Expression of proPTPRN2 in Cancer Cells Confers Resistance to Apoptosis Alexey V. Sorokin1, Binoj C. Nair1,Yongkun Wei2, Kathryn E. Aziz1, Valentina Evdokimova3, Mien-Chie Hung2,4, and Junjie Chen1 Abstract The protein tyrosine phosphatase receptor PTPRN2 is whereas enforced expression of proPTPRN2 in nontransformed expressed predominantly in endocrine and neuronal cells, human mammary epithelial cells exerted a converse effect. where it functions in exocytosis. We found that its immature Mechanistic investigations suggested that ProPTPRN2 elicited isoform proPTPRN2 is overexpressed in various cancers, includ- these effects through direct interaction with TRAF2, a hub ing breast cancer. High proPTPRN2 expression was associated scaffold protein for multiple kinase cascades, including ones strongly with lymph node–positive breast cancer and poor that activate NF-kB. Overall, our results suggest PTPRN2 as a clinical outcome. Loss of proPTPRN2 in breast cancer cells novel candidate biomarker and therapeutic target in breast promoted apoptosis and blocked tumor formation in mice, cancer. Cancer Res; 75(9); 1–13. Ó2015 AACR. Introduction in nervous system and pancreatic endocrine cells, where it exists as a mature isoform and participates in exocytosis of insulin-con- Reversible protein tyrosine phosphorylation is an integral part taining secretory granules (5). While lacking protein phosphatase of cellular signaling that controls many if not all aspects of cell activity due to two critical amino acid substitutions in its PTP biology and development. Net protein tyrosine phosphorylation domain (6), PTPRN2 possesses weak phosphatidylinositol phos- is governed by the dynamic equilibrium between two counter- phatase (PIP) activity (7).
    [Show full text]
  • The Human Phosphatase Interactome
    FEBS Letters 586 (2012) 2732–2739 journal homepage: www.FEBSLetters.org Review The human phosphatase interactome: An intricate family portrait ⇑ Francesca Sacco a,1, Livia Perfetto a,1, Luisa Castagnoli a, Gianni Cesareni a,b, a Department of Biology, University of Rome ‘‘Tor Vergata’’, Rome, Italy b Research Institute ‘‘Fondazione Santa Lucia’’, Rome, Italy article info abstract Article history: The concerted activities of kinases and phosphatases modulate the phosphorylation levels of Received 23 March 2012 proteins, lipids and carbohydrates in eukaryotic cells. Despite considerable effort, we are still miss- Revised 8 May 2012 ing a holistic picture representing, at a proteome level, the functional relationships between Accepted 8 May 2012 kinases, phosphatases and their substrates. Here we focus on phosphatases and we review and inte- Available online 21 May 2012 grate the available information that helps to place the members of the protein phosphatase super- Edited by Marius Sudol, Giulio Superti-Furga families into the human protein interaction network. In addition we show how protein interaction and Wilhelm Just domains and motifs, either covalently linked to the phosphatase domain or in regulatory/adaptor subunits, play a prominent role in substrate selection. Keywords: Ó 2012 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved. Human phosphatome Phosphatase family classification Substrate recognition specificity 1. Introduction protein kinases. 428 are known or predicted to phosphorylate ser- ine and threonine residues, while the remaining 90 are members of Phosphorylation is a widespread post-translational modifica- the tyrosine kinase family [3,12]. By contrast, in the human gen- tion governing signal propagation [1].
    [Show full text]
  • Genetic-Linkage Mapping of Complex Hereditary Disorders to a Whole-Genome Molecular-Interaction Network
    Downloaded from genome.cshlp.org on September 28, 2021 - Published by Cold Spring Harbor Laboratory Press Methods Genetic-linkage mapping of complex hereditary disorders to a whole-genome molecular-interaction network Ivan Iossifov,1 Tian Zheng,2 Miron Baron,3 T. Conrad Gilliam,4 and Andrey Rzhetsky4,5,6 1Department of Biomedical Informatics, Center for Computational Biology and Bioinformatics, Columbia University, New York, New York 10032, USA; 2Department of Statistics, Columbia University, New York, New York 10027, USA; 3Department of Psychiatry, Columbia University, New York, New York 10032, USA; 4Department of Human Genetics, University of Chicago, Chicago, Illinois 60637, USA; 5Department of Medicine, Institute for Genomics & Systems Biology, Computation Institute, University of Chicago, Chicago, Illinois 60637, USA Common hereditary neurodevelopmental disorders such as autism, bipolar disorder, and schizophrenia are most likely both genetically multifactorial and heterogeneous. Because of these characteristics traditional methods for genetic analysis fail when applied to such diseases. To address the problem we propose a novel probabilistic framework that combines the standard genetic linkage formalism with whole-genome molecular-interaction data to predict pathways or networks of interacting genes that contribute to common heritable disorders. We apply the model to three large genotype–phenotype data sets, identify a small number of significant candidate genes for autism (24), bipolar disorder (21), and schizophrenia (25), and
    [Show full text]
  • Differential Expression Gene Symbol Upregulated
    Table S1. 1658 differential expressed genes with P-value < 0.05 in myeloid dendritic cells patients with all ergies compared to healthy controls. Differential Gene Symbol Expression Upregulated KIAA1217, RP11-111M22.2, RP11-21M24.2, FAM221B, TRIM9, CNKSR3, LRIT3, (N=771) RP11-26J3.1, RP11-708J19.1, RPS3AP35, AC096574.4, RBPMS, JPH3, RASGRF1, RP11-118E18.4, TPPP, KCNJ9, ARMC12, TUBB8P7, KCND3, CTD-2083E4.4, SLCO5A1, EGLN3, NOS3, RPS3AP40, OR10A4, AC007551.2, RP11-110I1.12, ZNF732, RP4-800G7.3, RNFT2, SFXN2, SEPT5, UFSP1, KRT8P26, RP11- 634H22.1, RP11-357G3.1, CTC-487M23.5, RP11-804H8.6, ROPN1L, E2F2, RP11- 983P16.4, SOX12, KRTAP16-1, FAM188B, TTC28, CTB-66B24.1, PLS1, SHF, ESR1, SOCS2, MNS1, GPR55, RP11-1020A11.2, C4orf32, BHLHE22, RP11- 63E5.6, SIGLEC15, FGFBP3, AP000692.10, CTD-2357A8.3, RP1-102E24.6, ZC4H2, AC074367.1, WDR86-AS1, YPEL1, HOXB-AS1, RP3-522P13.2, OR7E47P, AC068039.4, NUDT8, IBA57, PPP1R3G, CACNB3, KB-1460A1.1, IQCJ-SCHIP1-AS1, CRHR2, CD27-AS1, RP11-368J22.2, MANSC4, FITM2, AC002467.7, RPS5P2, SNHG17, GCAT, C10orf91, CTB-61M7.1, ATP8A2P2, RP11-50E11.2, TFAP4, CTD-2060C23.1, MED9, RP11-583F2.1, GAPDHP62, RN7SL801P, CYB5RL, ALG14, IGLV5-52, AC106801.1, RP11-403A21.3, LAD1, EARS2, NEURL3, DUSP14, RP11-116K4.1, PKNOX1, RP11-248J23.5, ZNF730, PSMF1, PINLYP, HOXA10, PTMAP8, RNLS, NANOGP7, FOXD1, AIFM2, KCNJ14, AC114730.8, RP11-804H8.5, C1orf109, PANK1, RPL32P26, RP11- 528A10.2, KL, METTL21B, CTD-2186M15.1, UBE3D, SMARCA5-AS1, SCARF2, AC000003.2, AC013470.6, PEX10, LRP11, ACTBP14, RP11-93B14.5, MIR1182, LIMCH1, IFI27L1, FSTL3,
    [Show full text]