Skip to main content
  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

AACR logo

  • Register
  • Log in
  • My Cart
Advertisement

Main menu

  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
    • Reviewing
    • CME
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • CCR Focus Archive
    • Meeting Abstracts
    • Collections
      • COVID-19 & Cancer Resource Center
      • Breast Cancer
      • Clinical Trials
      • Immunotherapy: Facts and Hopes
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Best of: Author Profiles
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citation
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
  • COVID-19
  • Webinars
  • Search More

    Advanced Search

  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

User menu

  • Register
  • Log in
  • My Cart

Search

  • Advanced search
Clinical Cancer Research
Clinical Cancer Research
  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
    • Reviewing
    • CME
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • CCR Focus Archive
    • Meeting Abstracts
    • Collections
      • COVID-19 & Cancer Resource Center
      • Breast Cancer
      • Clinical Trials
      • Immunotherapy: Facts and Hopes
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Best of: Author Profiles
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citation
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
  • COVID-19
  • Webinars
  • Search More

    Advanced Search

Human Cancer Biology

Association of IFN-γ Signal Transduction Defects with Impaired HLA Class I Antigen Processing in Melanoma Cell Lines

Annedore Respa, Juergen Bukur, Soldano Ferrone, Graham Pawelec, Yingdong Zhao, Ena Wang, Francesco M. Marincola and Barbara Seliger
Annedore Respa
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Juergen Bukur
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Soldano Ferrone
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Graham Pawelec
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yingdong Zhao
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ena Wang
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Francesco M. Marincola
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Barbara Seliger
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
DOI: 10.1158/1078-0432.CCR-10-2114 Published May 2011
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Additional Files
  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    Constitutive and cytokine-mediated regulation of HLA class I and class II surface expression. A, constitutive and cytokine-mediated dose-dependent upregulation of HLA class I surface antigen expression. B, constitutive and cytokine-mediated time-dependent upregulation of HLA class I and HLA class II antigen surface expression. The cells were either left untreated or treated with 200 units of IFN-γ for the time points indicated. Flow cytometry was carried out using FITC-conjugated HLA class I- and class II-specific mAb. Results are expressed as MFI ± SD. The experiments were carried out at least 3 times. C, antiproliferative effect of IFN-γ in Colo 794. Cells were treated with the indicated concentrations of IFN-γ for 48 hours and the number of viable cells was quantified by XTT measurements. Results are expressed as relative growth to untreated cells. D, presence of IFN-γR on the cell surface expression. The IFN-γR expression was determined by flow cytometry by using IFN-γR chain-specific mAbs. The results are presented as histograms. The dotted line represents the IgG1 isotype control, the thin line the IFN-γR1, and the thick line the IFN-γR2.

  • Figure 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2.

    IFN-γ resistance of melanoma cells associated with low levels of HLA class I APM component expression. mRNA and protein expression patterns of HLA class I APM components in melanoma cells either left untreated or treated for 24 to 48 hours with IFN-γ were determined by qRT-PCR and Western blot analysis as described in Materials and Methods by using APM-specific primers and antibodies, respectively. A, LMP10; B, TAP2; C, HLA class I HC; D, tapasin. At least 3 independent experiments were carried out. The results are either expressed as mean of the values obtained in 3 independent experiments (qRT-PCR) or shown by a representative Western blot.

  • Figure 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3.

    Association of impaired JAK2 expression in Colo 857 cells with impaired STAT1 phosphorylation. Melanoma cells were either left untreated or treated with IFN-γ for various time points before being harvested for protein extraction. Western blot analysis was carried out using unphosphorylated and phosphorylated JAK/STAT pathway component-specific antibodies. Staining of the Western blot with an anti-GAPDH- or β-actin–specific antibody served as controls.

  • Figure 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 4.

    Genomic deletion of JAK2 in Colo 857 cells. A, genomic PCR using JAK2-specific primers showed no amplification product in Colo 857 but in Colo 794. B, locus-specific gene amplification (end point PCR) was carried out as described in Materials and Methods. The RCC cell line MZ 2733RC known to have no observed abnormalities in IFN-γ signaling pathway served as a control (C) CGH. The deletion of JAK2 was determined by 3 independent technologies as described in detail in Materials and Methods.

  • Figure 5.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 5.

    Reconstitution of HLA class I APM component expression by Colo 857 cells following JAK2 gene transfer. A, JAK2 and pSTAT1 expression were determined in untreated and IFN-γ–treated Colo 857 cells transfected with the JAK2 expression vector as described in Materials and Methods. The results showed restoration of JAK2 expression and pSTAT1 upregulation by JAK2 gene transfer. B, constitutive and IFN-γ–inducible upregulation of APM component expression in mock-transfected and JAK2-transfected Colo 857 cells was carried out as described in Materials and Methods by using APM-specific mAbs. C, restoration of constitutive HLA class I surface expression in Colo 857 cells. Flow cytometry of untransfected, mock, and JAK2-overexpressing cells was carried out as described using an anti-HLA class I–specific mAb. The results are expressed as MFI with subtraction of the isotype control.

Tables

  • Figures
  • Additional Files
  • Table 1.

    Primers used for RT-PCR analysis

    ApplicationGene nameSequenceTm
    IFN-γ signaling JAK1fw: 5′-gca cca tca ccg ttg atg ac-3′60°C
    rev: 3′-tcc agt gag ctg gca tca ag-5′
    JAK2fw: 5′-tgt gga gat gtg ccg gta tg-3′60°C
    rev: 3′-att acg ccg acc agc act gt-5′
    STAT1fw: 5′-atc ctc gag agc tgt cta-3′55°C
    rev: 3′-gcc agg tac tgt ctg att-5′
    Antigen processing LMP2fw: 5′-tgt gca ctc tct ggt tca gc-3′60°C
    rev: 3′-tgc tgc atc cac ata acc at-5′
    LMP10fw: 5′-ggg ctt ctc ctt cga gaa ct-3′60°C
    rev: 3′-cag ccc cac agc agt aga tt-5′
    TAP1fw: 5′-gga atc tct ggc aaa gtc ca-3′60°C
    rev: 3′-tgg gtg aac tgc atc tgg ta-5′
    TAP2fw: 5′-cca aga cgt ctc ctt tgc at-3′60°C
    rev: 3′-ttc atc cag cag cac ctg tc-5′
    Tapasinfw: 5′-tgg gta agg gac atc tgc tc-3′60°C
    rev: 3′-acc tgt cct tgc agg tat gg-5′
    HLA-ABCfw: 5′-gcc tac gac ggc aag gat tac-3′60°C
    rev: 3′-ggt ggc ctc atg gtc aga ga-5′
    Locus specificity RFX3fw: 5′-aaa ctg gac cca gtc aat gc-3′57°C
    rev: 3′-tgt tgc atg ggt tgt tgt ct-5′
    RCL1fw: 5′-tct tct ttg ctt ggc tcc at-3′57°C
    rev: 3′-atg ggc ttc aag acc ttc ct-5′
    GLDCfw: 5′-tcg atg cag ttc acc tca ag-3′57°C
    rev: 3′-cag att ccc acc tga gca tt-5′
    BNCfw: 5′-gtc aag cat gcc tgt gaa ga-3′59°C
    rev: 3′-ggc cct cct tat ttc agt cc-5′
    Control GAPDHfw: 5′-cct gca cca cca act gct ta-3′60°C
    rev: 3′-ctg aag gcc atg caa gtg ag-5′
    PPIAfw: 5′-cca tct atg ggg aga aat ttg a-3′60°C
    rev: 3′-cag tca gca atg gtg atc ttc t-5′
    β-Actinfw: 5′-tcc tgt ggc atc cac gaa act-3′60°C
    rev: 3′-gaa gca ttt gcg gtg gac gat-5′

    Abbreviations: fw, forward; rev, reverse.

    Additional Files

    • Figures
    • Tables
    • Supplementary Data

      Supplementary Figures S1-S2.

      Files in this Data Supplement:

      • Supplementary Figures S1-S2
    PreviousNext
    Back to top
    Clinical Cancer Research: 17 (9)
    May 2011
    Volume 17, Issue 9
    • Table of Contents
    • Table of Contents (PDF)
    • About the Cover

    Sign up for alerts

    View this article with LENS

    Open full page PDF
    Article Alerts
    Sign In to Email Alerts with your Email Address
    Email Article

    Thank you for sharing this Clinical Cancer Research article.

    NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

    Enter multiple addresses on separate lines or separate them with commas.
    Association of IFN-γ Signal Transduction Defects with Impaired HLA Class I Antigen Processing in Melanoma Cell Lines
    (Your Name) has forwarded a page to you from Clinical Cancer Research
    (Your Name) thought you would be interested in this article in Clinical Cancer Research.
    CAPTCHA
    This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
    Citation Tools
    Association of IFN-γ Signal Transduction Defects with Impaired HLA Class I Antigen Processing in Melanoma Cell Lines
    Annedore Respa, Juergen Bukur, Soldano Ferrone, Graham Pawelec, Yingdong Zhao, Ena Wang, Francesco M. Marincola and Barbara Seliger
    Clin Cancer Res May 1 2011 (17) (9) 2668-2678; DOI: 10.1158/1078-0432.CCR-10-2114

    Citation Manager Formats

    • BibTeX
    • Bookends
    • EasyBib
    • EndNote (tagged)
    • EndNote 8 (xml)
    • Medlars
    • Mendeley
    • Papers
    • RefWorks Tagged
    • Ref Manager
    • RIS
    • Zotero
    Share
    Association of IFN-γ Signal Transduction Defects with Impaired HLA Class I Antigen Processing in Melanoma Cell Lines
    Annedore Respa, Juergen Bukur, Soldano Ferrone, Graham Pawelec, Yingdong Zhao, Ena Wang, Francesco M. Marincola and Barbara Seliger
    Clin Cancer Res May 1 2011 (17) (9) 2668-2678; DOI: 10.1158/1078-0432.CCR-10-2114
    del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
    • Tweet Widget
    • Facebook Like
    • Google Plus One

    Jump to section

    • Article
      • Abstract
      • Introduction
      • Material and Methods
      • Results
      • Discussion
      • Disclosure of Potential Conflicts of Interest
      • Grant Support
      • Footnotes
      • References
    • Figures & Data
    • Info & Metrics
    • PDF
    Advertisement

    Related Articles

    Cited By...

    More in this TOC Section

    • Contact Guidance Controls T-cell Migration in PDAC
    • MET in Papillary RCC
    • Identification of T-cell Antigens by Minigene Screening
    Show more Human Cancer Biology
    • Home
    • Alerts
    • Feedback
    • Privacy Policy
    Facebook  Twitter  LinkedIn  YouTube  RSS

    Articles

    • Online First
    • Current Issue
    • Past Issues
    • CCR Focus Archive
    • Meeting Abstracts

    Info for

    • Authors
    • Subscribers
    • Advertisers
    • Librarians

    About Clinical Cancer Research

    • About the Journal
    • Editorial Board
    • Permissions
    • Submit a Manuscript
    AACR logo

    Copyright © 2021 by the American Association for Cancer Research.

    Clinical Cancer Research
    eISSN: 1557-3265
    ISSN: 1078-0432

    Advertisement