001     241139
005     20240229154915.0
024 7 _ |a 10.1002/ctm2.1186
|2 doi
024 7 _ |a pmid:36718025
|2 pmid
024 7 _ |a altmetric:141975965
|2 altmetric
037 _ _ |a DKFZ-2023-00252
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Pane, Antonino
|0 P:(DE-He78)c6c6ce72f4dff102e38d74f7143a2ea8
|b 0
|e First author
|u dkfz
245 _ _ |a MicroRNAs affecting the susceptibility of melanoma cells to CD8+ T cell-mediated cytolysis.
260 _ _ |a Hoboken, NJ
|c 2023
|b Wiley
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1675332547_2340
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a #EA:D210#LA:D210#
520 _ _ |a The regulatory functions of microRNAs (miRNAs) in anti-tumour immunity have been mainly described in immune effector cells. Since little is known about miRNA effects on the susceptibility of target cells during T cell-target cell interaction, this study focused on the identification of miRNAs expressed in tumour cells controlling their susceptibility to CD8+ T cell-mediated cytotoxicity.Luciferase expressing B16F10 melanoma (B16F10 Luci+ ) cells transfected with individual miRNAs covering a comprehensive murine miRNA library were screened for their susceptibility to lysis by an established cytotoxic T lymphocyte (CTL) line (5a, clone Nβ) specific for the melanoma-associated antigen tyrosinase-related protein 2. miRNAs with the most pronounced effects on T cell-mediated lysis were validated and stably expressed in B16F10 cells. In silico analyses identified common targets of miRNA sets determined by the screen, which were further confirmed by small interfering RNA (siRNA)-mediated silencing experiments modulating immune surveillance. The Ingenuity Pathway Analysis (IPA) software and RNA sequencing (RNA-seq) data from miRNA-overexpressing cell lines were applied to investigate the underlying mechanisms. The Cancer Genome Atlas (TCGA)-derived miRNA sequencing data were used to assess the correlation of miRNA expression with melanoma patients' survival.The miRNA screen resulted in the selection of seven miRNAs enhancing CTL-mediated melanoma cell killing in vitro. Upon stable overexpression of selected miRNAs, hsa-miR-320a-3p, mmu-miR-7037-5p and mmu-miR-666-3p were determined as most effective in enhancing susceptibility to CTL lysis. In silico analyses and subsequent siRNA-mediated silencing experiments identified Psmc3 and Ndufa1 as common miRNA targets possibly involved in the functional effects observed. The analyses of RNA-seq data with IPA showed pathways, networks, biological functions and key molecules potentially involved in the miRNA-mediated functional effects. Finally, based on TCGA data analysis, a positive correlation of the conserved miRNAs among the panel of the seven identified miRNAs with overall survival of melanoma patients was determined.For the first time, this study uncovered miRNA species that affect the susceptibility of melanoma cells to T cell-mediated killing. These miRNAs might represent attractive candidates for novel therapy approaches against melanoma and other tumour entities.
536 _ _ |a 314 - Immunologie und Krebs (POF4-314)
|0 G:(DE-HGF)POF4-314
|c POF4-314
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
650 _ 7 |a Ndufa1
|2 Other
650 _ 7 |a Psmc3
|2 Other
650 _ 7 |a cytotoxic T lymphocyte (CTL)
|2 Other
650 _ 7 |a melanoma
|2 Other
650 _ 7 |a miRNA
|2 Other
650 _ 7 |a screening
|2 Other
650 _ 7 |a MicroRNAs
|2 NLM Chemicals
650 _ 7 |a RNA, Small Interfering
|2 NLM Chemicals
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Animals
|2 MeSH
650 _ 2 |a Mice
|2 MeSH
650 _ 2 |a MicroRNAs: genetics
|2 MeSH
650 _ 2 |a MicroRNAs: metabolism
|2 MeSH
650 _ 2 |a Melanoma: genetics
|2 MeSH
650 _ 2 |a RNA, Small Interfering
|2 MeSH
650 _ 2 |a CD8-Positive T-Lymphocytes: metabolism
|2 MeSH
700 1 _ |a Kordaß, Theresa
|0 P:(DE-He78)70e630b77e8ddc41353fc23197569b7c
|b 1
|u dkfz
700 1 _ |a Hotz-Wagenblatt, Agnes
|0 P:(DE-He78)2f34b89d62d5e5c651aa1e683844b092
|b 2
|u dkfz
700 1 _ |a Dickes, Elke
|0 P:(DE-He78)eed71877972a029b8b099222b2ddbe0d
|b 3
|u dkfz
700 1 _ |a Kopp-Schneider, Annette
|0 P:(DE-He78)bb6a7a70f976eb8df1769944bf913596
|b 4
|u dkfz
700 1 _ |a Will, Rainer
|0 P:(DE-He78)18218139eec55d83cf82679934e5cd75
|b 5
|u dkfz
700 1 _ |a Seliger, Barbara
|0 0000-0002-5544-4958
|b 6
700 1 _ |a Osen, Wolfram
|0 P:(DE-He78)b757b21d60bbaa4164899bb7e61b0c15
|b 7
|u dkfz
700 1 _ |a Eichmüller, Stefan
|0 P:(DE-He78)23fb8cfffbf2aa8eee5d51af417ad944
|b 8
|e Last author
|u dkfz
773 _ _ |a 10.1002/ctm2.1186
|g Vol. 13, no. 2
|0 PERI:(DE-600)2697013-2
|n 2
|p e1186
|t Clinical and translational medicine
|v 13
|y 2023
|x 2001-1326
909 C O |o oai:inrepo02.dkfz.de:241139
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 0
|6 P:(DE-He78)c6c6ce72f4dff102e38d74f7143a2ea8
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 1
|6 P:(DE-He78)70e630b77e8ddc41353fc23197569b7c
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 2
|6 P:(DE-He78)2f34b89d62d5e5c651aa1e683844b092
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 3
|6 P:(DE-He78)eed71877972a029b8b099222b2ddbe0d
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 4
|6 P:(DE-He78)bb6a7a70f976eb8df1769944bf913596
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 5
|6 P:(DE-He78)18218139eec55d83cf82679934e5cd75
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 7
|6 P:(DE-He78)b757b21d60bbaa4164899bb7e61b0c15
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 8
|6 P:(DE-He78)23fb8cfffbf2aa8eee5d51af417ad944
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-314
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Immunologie und Krebs
|x 0
914 1 _ |y 2023
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2020-06-08T15:16:46Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2020-06-08T15:16:46Z
915 _ _ |a Creative Commons Attribution CC BY (No Version)
|0 LIC:(DE-HGF)CCBYNV
|2 V:(DE-HGF)
|b DOAJ
|d 2020-06-08T15:16:46Z
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2022-11-09
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2022-11-09
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2022-11-09
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2022-11-09
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b CLIN TRANSL MED : 2022
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
|d 2023-10-26
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Anonymous peer review
|d 2020-06-08T15:16:46Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2023-10-26
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2023-10-26
915 _ _ |a IF >= 10
|0 StatID:(DE-HGF)9910
|2 StatID
|b CLIN TRANSL MED : 2022
|d 2023-10-26
920 2 _ |0 I:(DE-He78)D210-20160331
|k D210
|l GMP-Einheit Zelluläre Therapie
|x 0
920 1 _ |0 I:(DE-He78)D210-20160331
|k D210
|l GMP-Einheit Zelluläre Therapie
|x 0
920 1 _ |0 I:(DE-He78)W610-20160331
|k W610
|l W610 Core Facility Omics IT
|x 1
920 1 _ |0 I:(DE-He78)C060-20160331
|k C060
|l C060 Biostatistik
|x 2
920 1 _ |0 I:(DE-He78)W111-20160331
|k W111
|l Zelluläre Tools
|x 3
920 0 _ |0 I:(DE-He78)D210-20160331
|k D210
|l GMP-Einheit Zelluläre Therapie
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)D210-20160331
980 _ _ |a I:(DE-He78)W610-20160331
980 _ _ |a I:(DE-He78)C060-20160331
980 _ _ |a I:(DE-He78)W111-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21