Evidence map›Paper›PMID 40898325›Full record

ArticleCell communication and signaling : CCS2025

ATE1 promotes breast cancer progression via arginylation-dependent regulation of MAPK-MYC signaling.

Laxman Nawale, Shinyeong Ju, Jung Gi Kim, Nak Kyun Soung, Bo Yeon Kim, Cheolju Lee, Hyunjoo Cha-Molstad

Abstract read
In one paragraph

Article in Cell communication and signaling : CCS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Laxman Nawale *Nucleic Acid Therapeutics Research Center, Korea Research Institute of Bioscience and Biotechnology, Ochang-eup, Cheongju-si, Chungcheongbuk-do, 28116, Republic of Korea.
Shinyeong Ju *Chemical & Biological Integrative Research Center, Korea Institute of Science and Technology, 5 Hwarangro-14-gil, Seongbuk-gu, Seoul, 02792, Republic of Korea.
Jung Gi KimNucleic Acid Therapeutics Research Center, Korea Research Institute of Bioscience and Biotechnology, Ochang-eup, Cheongju-si, Chungcheongbuk-do, 28116, Republic of Korea.
Nak Kyun SoungChemical Biology Research Center, Korea Research Institute of Bioscience and Biotechnology, Ochang-eup, Cheongju-si, Chungcheongbuk-do, 28116, Republic of Korea.
Bo Yeon KimChemical Biology Research Center, Korea Research Institute of Bioscience and Biotechnology, Ochang-eup, Cheongju-si, Chungcheongbuk-do, 28116, Republic of Korea. bykim@kribb.re.kr.
Cheolju LeeChemical & Biological Integrative Research Center, Korea Institute of Science and Technology, 5 Hwarangro-14-gil, Seongbuk-gu, Seoul, 02792, Republic of Korea. clee270@kist.re.kr.
Hyunjoo Cha-MolstadNucleic Acid Therapeutics Research Center, Korea Research Institute of Bioscience and Biotechnology, Ochang-eup, Cheongju-si, Chungcheongbuk-do, 28116, Republic of Korea. hcha@kribb.re.kr.

Funding

Ministry of Science and ICT RS-2023-00279134National Research Council of Science & Technology (NST) grant GTL24021-000The Korea Research Institute of Bioscience and Biotechnology (KRIBB) Research Initiative Program KGM1062413The Nano & Material Technology Development Program through the National Research Foundation of Korea (NRF) RS-2024-00444177
6 · The paper itself

Abstract

backgroundArginyl-tRNA-protein transferase (ATE1) catalyzes N-terminal arginylation, a regulatory protein modification implicated in various cellular processes, including proliferation, apoptosis, and migration. Although ATE1 has context-dependent roles in cancer, its specific function in breast cancer remains unclear. This study investigates the oncogenic role of ATE1 across multiple breast cancer subtypes and its underlying molecular mechanisms.

methodsATE1 expression in breast cancer was evaluated using TCGA data and immunoblotting across breast cancer cell lines and normal mammary epithelial cells (HMEC). Functional studies using siRNA- and shRNA-mediated knockdown assessed ATE1's role in cell viability, clonogenic growth, migration, and tumorigenesis in vitro and xenograft models. Quantitative proteomics, R-catcher-based N-terminomics, and pathway analyses were employed to identify ATE1-dependent signaling networks, with a focus on MAPK-MYC axis regulation. Flow cytometry and immunoblotting were used to assess cell cycle progression, apoptosis, and MYC stability.

resultsATE1 was significantly upregulated in breast cancer cells and associated with poor prognosis in early-stage patients. ATE1 depletion selectively impaired viability, proliferation, and migration in breast cancer cells, but not in HMECs. In vivo, ATE1 silencing suppressed tumor growth in xenograft models. Proteomic profiling revealed that ATE1 regulates the cell cycle and survival pathways in a subtype-specific manner, particularly through modulation of the MAPK-MYC-CDK6 axis in luminal T-47D cells. ATE1 stabilized MYC protein via ERK-mediated phosphorylation at Ser62, promoting cell cycle progression and suppressing apoptosis. Rescue experiments confirmed that ATE1's tumor-promoting activity depends on its arginyltransferase function.

conclusionsATE1 promotes breast cancer progression by enhancing cell proliferation, survival, and migration through MAPK-dependent stabilization of MYC in a lineage-specific context. These findings identify ATE1 as a potential therapeutic target and highlight the relevance of protein arginylation in the molecular heterogeneity of breast cancer.

Indexed as

AminoacyltransferasesArginineBreast NeoplasmsProtein Processing, Post-TranslationalAnimalsApoptosisCarcinogenesisCell CycleCell ProliferationFemaleHumansMCF-7 CellsMDA-MB-231 CellsMiceMice, Inbred BALB COncogenesAminoacyltransferasesArginineATE1 protein, humanProto-Oncogene Proteins c-mycATE1 (arginyltransferase 1)Breast cancerCell proliferationCell survivalMYC signalingN-degron pathwayN-terminal arginylationTumor progression

Identifiers

PMID40898325
PMCPMC12403503

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.