Tetraspanin 3 (TSPAN3) Organism: Homo Sapiens (Human) Instruction Manual for in VITRO USE and RESEARCH USE ONLY NOT for USE in DIAGNOSTIC OR THERAPEUTIC PROCEDURES

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Tetraspanin 3 (TSPAN3) Organism: Homo Sapiens (Human) Instruction Manual for in VITRO USE and RESEARCH USE ONLY NOT for USE in DIAGNOSTIC OR THERAPEUTIC PROCEDURES

P92816Hu01 Tetraspanin 3 (TSPAN3) Organism: Homo sapiens (Human) Instruction manual FOR IN VITRO USE AND RESEARCH USE ONLY NOT FOR USE IN DIAGNOSTIC OR THERAPEUTIC PROCEDURES 4th Edition (Revised in August, 2012) [ DESCRIPTION ] Protein Names: Tetraspanin 3 Synonyms: TSPAN3, TM4SF8 Species: Human Size: 100µg Source: Escherichia coli-derived Subcellular Location: Membrane; Multi-pass membrane protein. [ PROPERTIES ] Residues: Tyr107~Ile213 (Accession # O60637), with two N-terminal Tags, His-tag and S-tag. Grade & Purity: >95%, 18 kDa as determined by SDS-PAGE reducing conditions. Formulation: Supplied as liquid form in Phosphate buffered saline(PBS), pH 7.4. Endotoxin Level: <1.0 EU per 1μg (determined by the LAL method). Applications: SDS-PAGE; WB; ELISA; IP. (May be suitable for use in other assays to be determined by the end user.) Predicted Molecular Mass: 17.7 kDa Predicted isoelectric point: 6.0 [ PREPARATION ] Reconstitute in sterile PBS, pH7.2-pH7.4. [ STORAGE AND STABILITY ] Storage: Avoid repeated freeze/thaw cycles. Store at 2-8oC for one month. Aliquot and store at -80oC for 12 months. Stability Test: The thermal stability is described by the loss rate of the target protein. The loss rate was determined by accelerated thermal degradation test, that is, incubate the protein at 37oC for 48h, and no obvious degradation and precipitation were observed. (Referring from China Biological Products Standard, which was calculated by the Arrhenius equation.) The loss of this protein is less than 5% within the expiration date under appropriate storage condition. [ SEQUENCES ] The target protein is fused with two N-terminal Tags, His-tag and S-tag, its sequence is listed below. MHHHHHHSSGLVPRGSGMKETAAAKFERQHMDSPDLGTDDDDKAMADIGS-YRAK VENEVDRSIQ KVYKTYNGTN PDAASRAIDY VQRQLHCCGI HNYSDWENTD WFKETKNQSV PLSCCRETAS NCNGSLAHPS DLYAEGCEAL VVKKLQEIMM HVI.

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Machine-Learning and Chemicogenomics Approach Defi Nes and Predicts Cross-Talk of Hippo and MAPK Pathways
Published OnlineFirst November 18, 2020; DOI: 10.1158/2159-8290.CD-20-0706 RESEARCH ARTICLE Machine -Learning and Chemicogenomics Approach Defi nes and Predicts Cross-Talk of Hippo and MAPK Pathways Trang H. Pham 1 , Thijs J. Hagenbeek 1 , Ho-June Lee 1 , Jason Li 2 , Christopher M. Rose 3 , Eva Lin 1 , Mamie Yu 1 , Scott E. Martin1 , Robert Piskol 2 , Jennifer A. Lacap 4 , Deepak Sampath 4 , Victoria C. Pham 3 , Zora Modrusan 5 , Jennie R. Lill3 , Christiaan Klijn 2 , Shiva Malek 1 , Matthew T. Chang 2 , and Anwesha Dey 1 ABSTRACT Hippo pathway dysregulation occurs in multiple cancers through genetic and non- genetic alterations, resulting in translocation of YAP to the nucleus and activation of the TEAD family of transcription factors. Unlike other oncogenic pathways such as RAS, defi ning tumors that are Hippo pathway–dependent is far more complex due to the lack of hotspot genetic alterations. Here, we developed a machine-learning framework to identify a robust, cancer type–agnostic gene expression signature to quantitate Hippo pathway activity and cross-talk as well as predict YAP/TEAD dependency across cancers. Further, through chemical genetic interaction screens and multiomics analyses, we discover a direct interaction between MAPK signaling and TEAD stability such that knockdown of YAP combined with MEK inhibition results in robust inhibition of tumor cell growth in Hippo dysregulated tumors. This multifaceted approach underscores how computational models combined with experimental studies can inform precision medicine approaches including predictive diagnostics and combination strategies. SIGNIFICANCE: An integrated chemicogenomics strategy was developed to identify a lineage- independent signature for the Hippo pathway in cancers.
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An Extracellular Site on Tetraspanin CD151 Determines Α3 and Α6
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4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
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Page 1 Supplemental Table I Upin WTVG Upin Humlowfb FAR1
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Downloaded 18 July 2014 with a 1% False Discovery Rate (FDR)
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Targeted Genes Common Elements In
Table SV. Key TFs and their target DEGs in hub modules. Key TF Targeted genes Common elements in ‘DEGs’ (module) and ‘Targeted genes’ JUN HOMER2 ATF3 VEGFA FOSB NR4A3 MAFF ETS2 MAFF ETS2 KLF10 SESN2 (Purple) JOSD1 ATF3 RARA ATF3 BCOR DDIT4 IER2 GADD45B IER2 GPT2 LONRF3 MIDN HERPUD1 NDNL2 JUNB NR4A2 PHACTR3 DDIT4 ING1 SKP2 FOSL1 RARA AGPAT9 SLC7A1 NR4A2 SIAH2 CDKN1A VEGFA ATF3 BCOR ING1 BHLHE40 METRNL JOSD1 RARA VIT GRIA2 PPP1R15A BHLHE40 CHAC1 PKNOX2 PLCB4 PHF13 SOX9 SYT2 MIDN SOX9 ITPRIP KLF4 BCOR FOS AK5 GADD45B DUSP1 IER2 FOS CDKN1A JUNB STX11 PELO AVPI1 COL7A1 FAM131A TBCCD1 GRIA2 ERLIN1 HERPUD1 SIK1 GPRC5A C1QTNF7 AVPI1 KCNJ15 LATS2 ARC KLF4 BHLHE41 RELT DUSP2 VEGFA FOSB ZC3H12A LMO2 PELO SIK1 LONRF3 SPRY4 ARHGEF2 ARHGEF2 C1QTNF7 TFPI DUSP2 PKNOX2 RGS17 KCNJ15 LPAL2 FOSL1 HK1 NRCAM GPRC5A PPP1R15A CERK DENND3 RARA AGPAT9 DUSP1 CCNA2 SERTAD3 NR4A2 ACVR1B RARA SIAH1 RASSF5 CERK ZNF331 AK5 RELT BRD2 KCTD21 SKP2 NPAS2 ITPRIP NPAS2 SMOX RBM24 MIDN CCDC85C DUSP2 CARS EGR1 SESN2 RASSF5 ASNS FOS FOSB CCNA2 PIP4K2B SPRY4 ANKRD52 BCOR SIAH2 LMO2 DENND3 NR4A3 VIT TNFRSF1B ASTN2 PHACTR3 ASNS FEM1C TNFRSF1B SNORA80B CSRNP3 ITPRIP BNIP3L ATF3 ZNF331 RARA ZC3H12A CHAC1 ASTN2 VEZF1 DUSP1 SNORA80B KLF10 LPAL2 UBE2O EGR1 NR4A2 PCK1 COL7A1 PCK1 STX11 RRAGC PCK1 RBM24 GPT2 HOMER2 METRNL ARC BHLHE41 GARS C15orf41 FOS C1QTNF7 NPAS2 CSRNP3 NRCAM RGS17 VIT RGS17 UBE2O SOX9 KCTD21 NR4A3 RARA SMOX RELT GADD45B ATF3 SERTAD1 RARA BCOR BHLHE40 JUNB TINAGL1 ETS2 KLF10 GADD45B (Purple) LONRF3 COL7A1 TNFRSF1B MMP13 ATF3 SLC2A1 PIM2 CDKN1A ZC3H12A VEZF1 ARC ANKRD52
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Supplemental Figure Legends
Supplemental Figure Legends Supplemental Figure 1. Expression of cytoplasmic immunoglobulin in D4 cell subsets. A. Phenotype of D4 cell subsets. B. Expression of cyIgM, cyIgA, and cyIgG in D4 cell subsets. Results are those of one experiment representative of three, SI means Staining Index. C. Expression of cyIgM, cyIgA, and cyIgG in D4 cell subsets. Results are mean SI obtained in three separate experiments. * The mean expression is significantly different from that in CD20high B cells. ** The mean expression is significantly different from that in D4 CD20low prePBs. Supplemental Figure 2. Expression of genes coding for B or PC markers. Data are the Affymetrix signals of expression of genes coding for B or PC markers in MBCs, CD20high B cells, CD20low prePBs, CD20- prePBs, PBs, early PCs, and BMPCs using the same color code as in Figure 6A. Data are the mean value ± SD of gene expression determined in 5 separate experiments. * The mean expression is significantly different from that in CD20high B cells. ** The mean expression is significantly different from that in D4 CD20low prePBs. Supplemental Figure 3. Expression of genes coding for homing molecules. Data are the Affymetrix signals of expression of genes coding for remarkable chemokine receptors or integrins in MBCs, CD20high B cells, CD20low prePBs, CD20- prePBs, PBs, early PCs, and BMPCs using the same color code as in Figure 6A. Data are the mean value ± SD of gene expression determined in 5 separate experiments. * The mean expression is significantly different from that in CD20high B cells. ** The mean expression is significantly different from that in D4 CD20low prePBs.
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