Table S1 the 84 Genes Associated with Toll-Like Receptor Signaling Pathway Assessed by Real-Time RT-PCR, and Gene Expression of Regorafenib (Vs
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Supplemental Information to Mammadova-Bach Et Al., “Laminin Α1 Orchestrates VEGFA Functions in the Ecosystem of Colorectal Carcinogenesis”
Supplemental information to Mammadova-Bach et al., “Laminin α1 orchestrates VEGFA functions in the ecosystem of colorectal carcinogenesis” Supplemental material and methods Cloning of the villin-LMα1 vector The plasmid pBS-villin-promoter containing the 3.5 Kb of the murine villin promoter, the first non coding exon, 5.5 kb of the first intron and 15 nucleotides of the second villin exon, was generated by S. Robine (Institut Curie, Paris, France). The EcoRI site in the multi cloning site was destroyed by fill in ligation with T4 polymerase according to the manufacturer`s instructions (New England Biolabs, Ozyme, Saint Quentin en Yvelines, France). Site directed mutagenesis (GeneEditor in vitro Site-Directed Mutagenesis system, Promega, Charbonnières-les-Bains, France) was then used to introduce a BsiWI site before the start codon of the villin coding sequence using the 5’ phosphorylated primer: 5’CCTTCTCCTCTAGGCTCGCGTACGATGACGTCGGACTTGCGG3’. A double strand annealed oligonucleotide, 5’GGCCGGACGCGTGAATTCGTCGACGC3’ and 5’GGCCGCGTCGACGAATTCACGC GTCC3’ containing restriction site for MluI, EcoRI and SalI were inserted in the NotI site (present in the multi cloning site), generating the plasmid pBS-villin-promoter-MES. The SV40 polyA region of the pEGFP plasmid (Clontech, Ozyme, Saint Quentin Yvelines, France) was amplified by PCR using primers 5’GGCGCCTCTAGATCATAATCAGCCATA3’ and 5’GGCGCCCTTAAGATACATTGATGAGTT3’ before subcloning into the pGEMTeasy vector (Promega, Charbonnières-les-Bains, France). After EcoRI digestion, the SV40 polyA fragment was purified with the NucleoSpin Extract II kit (Machery-Nagel, Hoerdt, France) and then subcloned into the EcoRI site of the plasmid pBS-villin-promoter-MES. Site directed mutagenesis was used to introduce a BsiWI site (5’ phosphorylated AGCGCAGGGAGCGGCGGCCGTACGATGCGCGGCAGCGGCACG3’) before the initiation codon and a MluI site (5’ phosphorylated 1 CCCGGGCCTGAGCCCTAAACGCGTGCCAGCCTCTGCCCTTGG3’) after the stop codon in the full length cDNA coding for the mouse LMα1 in the pCIS vector (kindly provided by P. -
Human and Mouse CD Marker Handbook Human and Mouse CD Marker Key Markers - Human Key Markers - Mouse
Welcome to More Choice CD Marker Handbook For more information, please visit: Human bdbiosciences.com/eu/go/humancdmarkers Mouse bdbiosciences.com/eu/go/mousecdmarkers Human and Mouse CD Marker Handbook Human and Mouse CD Marker Key Markers - Human Key Markers - Mouse CD3 CD3 CD (cluster of differentiation) molecules are cell surface markers T Cell CD4 CD4 useful for the identification and characterization of leukocytes. The CD CD8 CD8 nomenclature was developed and is maintained through the HLDA (Human Leukocyte Differentiation Antigens) workshop started in 1982. CD45R/B220 CD19 CD19 The goal is to provide standardization of monoclonal antibodies to B Cell CD20 CD22 (B cell activation marker) human antigens across laboratories. To characterize or “workshop” the antibodies, multiple laboratories carry out blind analyses of antibodies. These results independently validate antibody specificity. CD11c CD11c Dendritic Cell CD123 CD123 While the CD nomenclature has been developed for use with human antigens, it is applied to corresponding mouse antigens as well as antigens from other species. However, the mouse and other species NK Cell CD56 CD335 (NKp46) antibodies are not tested by HLDA. Human CD markers were reviewed by the HLDA. New CD markers Stem Cell/ CD34 CD34 were established at the HLDA9 meeting held in Barcelona in 2010. For Precursor hematopoetic stem cell only hematopoetic stem cell only additional information and CD markers please visit www.hcdm.org. Macrophage/ CD14 CD11b/ Mac-1 Monocyte CD33 Ly-71 (F4/80) CD66b Granulocyte CD66b Gr-1/Ly6G Ly6C CD41 CD41 CD61 (Integrin b3) CD61 Platelet CD9 CD62 CD62P (activated platelets) CD235a CD235a Erythrocyte Ter-119 CD146 MECA-32 CD106 CD146 Endothelial Cell CD31 CD62E (activated endothelial cells) Epithelial Cell CD236 CD326 (EPCAM1) For Research Use Only. -
TLR3-Dependent Activation of TLR2 Endogenous Ligands Via the Myd88 Signaling Pathway Augments the Innate Immune Response
cells Article TLR3-Dependent Activation of TLR2 Endogenous Ligands via the MyD88 Signaling Pathway Augments the Innate Immune Response 1 2, 1 3 Hellen S. Teixeira , Jiawei Zhao y, Ethan Kazmierski , Denis F. Kinane and Manjunatha R. Benakanakere 2,* 1 Department of Orthodontics, School of Dental Medicine, University of Pennsylvania, Philadelphia, PA 19004, USA; [email protected] (H.S.T.); [email protected] (E.K.) 2 Department of Periodontics, School of Dental Medicine, University of Pennsylvania, Philadelphia, PA 19004, USA; [email protected] 3 Periodontology Department, Bern Dental School, University of Bern, 3012 Bern, Switzerland; [email protected] * Correspondence: [email protected] Present address: Department of Pathology, Wayne State University School of Medicine, y 541 East Canfield Ave., Scott Hall 9215, Detroit, MI 48201, USA. Received: 30 June 2020; Accepted: 12 August 2020; Published: 17 August 2020 Abstract: The role of the adaptor molecule MyD88 is thought to be independent of Toll-like receptor 3 (TLR3) signaling. In this report, we demonstrate a previously unknown role of MyD88 in TLR3 signaling in inducing endogenous ligands of TLR2 to elicit innate immune responses. Of the various TLR ligands examined, the TLR3-specific ligand polyinosinic:polycytidylic acid (poly I:C), significantly induced TNF production and the upregulation of other TLR transcripts, in particular, TLR2. Accordingly, TLR3 stimulation also led to a significant upregulation of endogenous TLR2 ligands mainly, HMGB1 and Hsp60. By contrast, the silencing of TLR3 significantly downregulated MyD88 and TLR2 gene expression and pro-inflammatory IL1β, TNF, and IL8 secretion. The silencing of MyD88 similarly led to the downregulation of TLR2, IL1β, TNF and IL8, thus suggesting MyD88 / to somehow act downstream of TLR3. -
Nonredundant Roles of TIRAP and Myd88 in Airway Response to Endotoxin, Independent of TRIF, IL-1 and IL-18 Pathways
Laboratory Investigation (2006) 86, 1126–1135 & 2006 USCAP, Inc All rights reserved 0023-6837/06 $30.00 www.laboratoryinvestigation.org Nonredundant roles of TIRAP and MyD88 in airway response to endotoxin, independent of TRIF, IL-1 and IL-18 pathways Dieudonne´e Togbe1, Gorse Aurore1, Nicolas Noulin1,2, Vale´rie FJ Quesniaux1, Silvia Schnyder-Candrian1, Bruno Schnyder1, Virginie Vasseur1, Shizuo Akira3, Kasper Hoebe4, Bruce Beutler4, Bernhard Ryffel1,* and Isabelle Couillin1,* 1Molecular Immunology and Embryology, CNRS UMR6218, Transgenose Institute, Orleans, France; 2R&D Department, Key-Obs, Orleans, France; 3Department of Host Defense, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka, Japan and 4Department of Immunology, Scripps Research Institute, La Jolla, CA, USA Inhaled endotoxins induce an acute inflammatory response in the airways mediated through Toll-like receptor 4 (TLR4) and myeloid differentiation factor 88 (MyD88). However, the relative roles of the TLR4 adaptor proteins TIRAP and TRIF and of the MyD88-dependent IL-1 and IL-18 receptor pathways in this response are unclear. Here, we demonstrate that endotoxin-induced acute bronchoconstriction, vascular damage resulting in protein leak, Th1 cytokine and chemokine secretion and neutrophil recruitment in the airways are abrogated in mice deficient for either TIRAP or MyD88, but not in TRIF deficient mice. The contribution of other TLR-independent, MyD88-dependent signaling pathways was investigated in IL-1R1, IL-18R and caspase-1 (ICE)-deficient mice, which displayed normal airway responses to endotoxin. In conclusion, the TLR4-mediated, bronchoconstric- tion and acute inflammatory lung pathology to inhaled endotoxin critically depend on the expression of both adaptor proteins, TIRAP and MyD88, suggesting cooperative roles, while TRIF, IL-1R1, IL-18R signaling pathways are dispensable. -
Signaling Molecules§ Erin E
Veterinary Immunology and Immunopathology 112 (2006) 302–308 www.elsevier.com/locate/vetimm Short communication Cloning and radiation hybrid mapping of bovine toll-like receptor-4 (TLR-4) signaling molecules§ Erin E. Connor a, Elizabeth A. Cates a,b, John L. Williams c, Douglas D. Bannerman a,* a Bovine Functional Genomics Laboratory, U.S. Department of Agriculture, Agricultural Research Service, Beltsville, MD 20705, USA b University of Maryland, College Park, MD 20742, USA c Roslin Institute (Edinburgh), Roslin, Midlothian, Scotland, UK Received 17 January 2006; accepted 7 March 2006 Abstract Toll-like receptor (TLR)-4 is a transmembrane receptor for lipopolysaccharide, a highly pro-inflammatory component of the outer membrane of Gram-negative bacteria. To date, molecules of the TLR-4 signaling pathway have not been well characterized in cattle. The goal of this study was to clone and sequence the full-length coding regions of bovine genes involved in TLR-4 signaling including CASP8, IRAK1, LY96 (MD-2), TICAM2, TIRAP, TOLLIP and TRAF 6 and to position these genes, as well as MyD88 and TICAM1, on the bovine genome using radiation hybrid mapping. Results of this work indicate differences with a previously published bovine sequence for LY96 and a predicted sequence in the GenBank database for TIRAP based on the most recent assembly of the bovine genome. In addition, discrepancies between actual and predicted chromosomal map positions based on the Btau_2.0 genome assembly release were identified, although map positions were consistent with predicted locations based on the current bovine-human comparative map. Alignment of the bovine amino acid sequences with human and murine sequences showed a broad range in conservation, from 52 to 93%. -
1 Tumor Suppressor PLK2 May Serve As a Biomarker in Triple-Negative Breast Cancer for Improved Response to PLK1 Therapeutics
bioRxiv preprint doi: https://doi.org/10.1101/2021.06.16.448722; this version posted June 16, 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. Tumor suppressor PLK2 may serve as a biomarker in triple-negative breast cancer for improved response to PLK1 therapeutics Yang Gao1, 2, 3, Elena B. Kabotyanski1, 2, Elizabeth Villegas7, Jonathan H. Shepherd8, Deanna Acosta1, 2, Clark Hamor1, 2, Tingting Sun2,4,5, Celina Montmeyor-Garcia9, Xiaping He8, Lacey E. Dobrolecki1, 2, 3, Thomas F. Westbrook2, 4, 5, Michael T. Lewis1, 2, 3, Susan G. Hilsenbeck2, 3, Xiang H.-F. Zhang1, 2, 3, 6, Charles M. Perou8 and Jeffrey M. Rosen1, 2 1Department of Molecular and Cellular Biology 2Dan L. Duncan Cancer Center 3Lester and Sue Smith Breast Center 4Department of Molecular and Human Genetics 5Verna & Marrs McLean Department of Biochemistry and Molecular Biology 6McNair Medical Institute Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA 7University of Houston-Downtown, Houston, TX 77002, USA 8The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA 9 Canadian Blood Services, Toronto, ON M5G 2M1, Canada Correspondence to Jeffrey M. Rosen (Mail Stop: BCM130, Room: BCM-M638a, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030. Office: 713-798-6210. Fax: 713-898-8012. Email: [email protected]) 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.06.16.448722; this version posted June 16, 2021. -
TAK1 Mediates Convergence of Cellular Signals for Death and Survival
Apoptosis (2019) 24:3–20 https://doi.org/10.1007/s10495-018-1490-7 REVIEW TAK1 mediates convergence of cellular signals for death and survival Sabreena Aashaq1 · Asiya Batool1 · Khurshid I. Andrabi1 Published online: 4 October 2018 © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract TGF-β activated kinase 1, a MAPK kinase kinase family serine threonine kinase has been implicated in regulating diverse range of cellular processes that include embryonic development, differentiation, autophagy, apoptosis and cell survival. TAK1 along with its binding partners TAB1, TAB2 and TAB3 displays a complex pattern of regulation that includes serious crosstalk with major signaling pathways including the C-Jun N-terminal kinase (JNK), p38 MAPK, and I-kappa B kinase complex (IKK) involved in establishing cellular commitments for death and survival. This review also highlights how TAK1 orchestrates regulation of energy homeostasis via AMPK and its emerging role in influencing mTORC1 pathway to regulate death or survival in tandem. Keywords Apoptosis · Autophagy · Cytokine · Inflammatory · Smad TAK1, a multifunctional kinase regulate a wide array of downstream cellular responses [2, 7, 8]. Various branches of MAP kinase pathways including Transforming growth factor-β is a versatile cytokine, regu- the extracellular signal regulated kinase (Erk) ½ [3, 9], p38 lating a wide variety of intracellular signaling pathways. MAPK [10, 11], c-Jun N-Terminal kinase (JNK) [12, 13], The Smad dependent signaling pathway is conventionally phosphatidylinositol-3-kinase/AKT pathway [14, 15] and acknowledged as the traditional pathway promoted by TGF- Rho-like GTPase [16, 17] signaling pathways are included β1 [1]. However, the Smad dependent signaling pathway among the Smad independent pathways. -
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. -
Manipulating Ig Production in Vivo Through CD180 Stimulation Jay
Manipulating Ig production in vivo through CD180 stimulation Jay Wesley Chaplin A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Washington 2012 Reading Committee: Edward A. Clark, Chair Keith B. Elkon Thomas R. Hawn Program authorized to offer degree: Molecular and Cellular Biology University of Washington Abstract Manipulating Ig production in vivo through CD180 stimulation Jay Wesley Chaplin Chair of the Supervisory Committee: Professor Edward A. Clark Department of Immunology CD180 is homologous to TLR4 and regulates TLR4 signaling, yet its function is unclear. This thesis reports that injection of anti-CD180 mAb into mice induced rapid polyclonal IgG, with up to 50-fold increases even in immunodeficient mice. Anti-CD180 rapidly increased transitional B cell number in contrast to anti-CD40 which induced primarily FO B cell and myeloid expansion. Combinations of anti-CD180 with MyD88- dependent TLR ligands biased B cell fate toward synergistic proliferation. Thus, CD180 stimulation induces B cell proliferation and differentiation, causing rapid increases in IgG, and integrates MyD88-dependent TLR signals to regulate proliferation and differentiation. This thesis also reports that targeting Ag to CD180 rapidly induces Ag-specific IgG. IgG responses were robust, diverse, and partially T cell-independent, as both CD40- and T cell deficient mice responded after CD180 targeting. IgG production occurred with either hapten- or OVA-conjugated anti-CD180, and was specific for Ag coupled to anti- CD180. Simultaneous BCR and CD180 stimulation enhanced activation compared to either stimulus alone. Adoptive transfer experiments demonstrated that CD180 expression was required on B cells but not on DCs for Ab induction. -
Profiling Data
Compound Name DiscoveRx Gene Symbol Entrez Gene Percent Compound Symbol Control Concentration (nM) JNK-IN-8 AAK1 AAK1 69 1000 JNK-IN-8 ABL1(E255K)-phosphorylated ABL1 100 1000 JNK-IN-8 ABL1(F317I)-nonphosphorylated ABL1 87 1000 JNK-IN-8 ABL1(F317I)-phosphorylated ABL1 100 1000 JNK-IN-8 ABL1(F317L)-nonphosphorylated ABL1 65 1000 JNK-IN-8 ABL1(F317L)-phosphorylated ABL1 61 1000 JNK-IN-8 ABL1(H396P)-nonphosphorylated ABL1 42 1000 JNK-IN-8 ABL1(H396P)-phosphorylated ABL1 60 1000 JNK-IN-8 ABL1(M351T)-phosphorylated ABL1 81 1000 JNK-IN-8 ABL1(Q252H)-nonphosphorylated ABL1 100 1000 JNK-IN-8 ABL1(Q252H)-phosphorylated ABL1 56 1000 JNK-IN-8 ABL1(T315I)-nonphosphorylated ABL1 100 1000 JNK-IN-8 ABL1(T315I)-phosphorylated ABL1 92 1000 JNK-IN-8 ABL1(Y253F)-phosphorylated ABL1 71 1000 JNK-IN-8 ABL1-nonphosphorylated ABL1 97 1000 JNK-IN-8 ABL1-phosphorylated ABL1 100 1000 JNK-IN-8 ABL2 ABL2 97 1000 JNK-IN-8 ACVR1 ACVR1 100 1000 JNK-IN-8 ACVR1B ACVR1B 88 1000 JNK-IN-8 ACVR2A ACVR2A 100 1000 JNK-IN-8 ACVR2B ACVR2B 100 1000 JNK-IN-8 ACVRL1 ACVRL1 96 1000 JNK-IN-8 ADCK3 CABC1 100 1000 JNK-IN-8 ADCK4 ADCK4 93 1000 JNK-IN-8 AKT1 AKT1 100 1000 JNK-IN-8 AKT2 AKT2 100 1000 JNK-IN-8 AKT3 AKT3 100 1000 JNK-IN-8 ALK ALK 85 1000 JNK-IN-8 AMPK-alpha1 PRKAA1 100 1000 JNK-IN-8 AMPK-alpha2 PRKAA2 84 1000 JNK-IN-8 ANKK1 ANKK1 75 1000 JNK-IN-8 ARK5 NUAK1 100 1000 JNK-IN-8 ASK1 MAP3K5 100 1000 JNK-IN-8 ASK2 MAP3K6 93 1000 JNK-IN-8 AURKA AURKA 100 1000 JNK-IN-8 AURKA AURKA 84 1000 JNK-IN-8 AURKB AURKB 83 1000 JNK-IN-8 AURKB AURKB 96 1000 JNK-IN-8 AURKC AURKC 95 1000 JNK-IN-8 -
High Expression of LINC01268 Is Positively Associated with Hepatocellular Carcinoma Progression Via Regulating MAP3K7
OncoTargets and Therapy Dovepress open access to scientific and medical research Open Access Full Text Article ORIGINAL RESEARCH High Expression of LINC01268 is Positively Associated with Hepatocellular Carcinoma Progression via Regulating MAP3K7 This article was published in the following Dove Press journal: OncoTargets and Therapy Xiuli Jin,1 Weixin Fu,2 Dan Li,1 Objective: As one of the most common neoplastic diseases, hepatocellular carcinoma Ningning Wang,1 Jiayu Chen,1 (HCC) has a high morbidity and mortality, which seriously threatens human health and Zilu Zeng,1 Jiaqi Guo,1 Hao places a heavy burden on society and medical care. At present, effective early diagnosis, Liu,3 Xinping Zhong,3 Hu prognosis and treatment of HCC are limited. Altered gene expression patterns of lncRNA are Peng,4 Xin Yu,5 Jing Sun,1 associated with the occurrence, development and prognosis of various malignancies, includ- ing HCC. The aim of this study was to investigate the correlation between the expression of Xinhe Zhang,1 Xue Wang,1 LINC01268 and HCC, and to elucidate the potential underlying molecular mechanism. Beibei Xu,1 Yingbo Lin,6 4 Methods: Expression level and localization of LINC01268 in human liver cancer cells and Jianping Liu, Claudia HCC tissues were investigated using RT-qPCR and fluorescent in situ hybridization (FISH), 7 1 Kutter, Yiling Li respectively. Correlation of expression levels of LINC01268 and MAP3K7 with differentia- 1Department of Gastroenterology, First tion and poor overall patient survival of HCC were analyzed using in house collected and AffiliatedHospital of China Medical publicly available HCC tissue data. RT-qPCR and Western blot were applied to inspect the University, Shenyang, 110001, People’s Republic of China; 2Science Experiment effects of depletion and overexpression of LINC01268 on MAP3K7 expression. -
Supplementary Table 7. Characterization of Human Proteins Involved in the Prostate Cancer Pathway
Supplementary Table 7. Characterization of human proteins involved in the prostate cancer pathway f Protein UniProt Protein PONDR-FIT MobiDB Location (length) Location (length) Nint ID length (%)b consensus of long disordered of AIBSse a c d (NAIBS) (%) regions BAD, Bcl2-associated Q92934 168 100.00 84.54 1-105 (105) 1-53 (53) 66 agonist of cell death (4/70.8) 122-147 (27) 57-80 (24) 158-168 (11) 100-129 (30) 146-157 (12) CREB5; cyclic AMP- Q02930 508 85.24 75.39 46-59 (14) 66-86 (21) 65 responsive element (7/67.9) 86-393 (308) 99-183 (85) binding protein 5 447-470 (24) 188-358 (171) 479-508 (31) 362-370 (9) 378-406 (29) 421-444 (24) 503-508 (6) CREB1, cyclic AMP- P16220 341 79.47 40.47 1-32 (32) 32-44 (13) 169 responsive element- (7/29.3) 40-50 (11) 89-104 (16) binding protein 1 102-132 (33) 128-145 (18) 138-171 (34) 166-191 (26) 271-285 (15) 265-270 (6) 307-314 (8) 329-341 (13) FOXO1, Forkhead box Q12778 655 78.63 72.82 1-69 (69) 1-32 (32) 68 protein O1 (19/56.9) 74-101 (28) 54-82 (29) 105-160 (56) 88-118 (31) 199-210 (12) 160-172 (13) 229-336 (107) 182-196 (15) 385-450 (66) 216-226 (11) 463-488 (26) 258-280 (23) 498-569 (72) 289-297 (9) 644-655 (12) 306-314 (9) 323-365 (43) 371-388 (18) 301-409 (8) 447-469 (23) 483-517 (35) 528-545 (18) 550-565 (16) 570-592 (23) 605-612 (8) TCF7L1, transcription Q9HCS4 588 77.04 61.90 1-104 (104) 1-46 (46) 4 factor 7 like 1 (16/54.5) 161-183 (23) 53-74 (22) 192-238 (47) 94-135 (42) 316-344 (29) 146-159 (14) 406-512 (107) 191-201 (11) 524-546 (21) 234-252 (19) 274-288 (15) 349-371 (23) 373-383 (11)