| Name | mitochondrial ribosomal protein L58 |
| Description | The protein encoded by this gene is a peptidyl-tRNA hydrolase and a vital component of the large mitochondrial ribosome. The encoded protein serves as a ribosome release factor for this ribosome, which translates mitochondrial genes. This protein may be responsible for degrading prematurely-terminated polypeptides and for reusing stalled ribosomes. Two transcript variants encoding different isoforms have been found for this gene. [provided by RefSeq, Dec 2014] |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\nMRPL58, also known as immature colon carcinoma transcript‐1 (ICT1), is an integral component of the large subunit of the human mitochondrial ribosome. Unlike other mitochondrial translation release factors that are matrix‐soluble, ICT1 is embedded within the mitoribosome where it retains ribosome‐dependent peptidyl‐tRNA hydrolase activity without codon specificity. This unique activity is critical for releasing stalled nascent chains by hydrolyzing prematurely terminated peptidyl–tRNA molecules, thereby preserving mitochondrial protein synthesis and ensuring cell viability."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nIn addition to its canonical role in mitochondrial translation, ICT1 exhibits prominent oncogenic properties across a variety of human cancers. Elevated ICT1 expression has been documented in colorectal cancer, non‐small cell lung cancer, breast cancer, diffuse large B-cell lymphoma, gastric cancer, hepatocellular carcinoma, osteosarcoma, and leukemia. Functional studies demonstrate that ICT1 overexpression promotes cell proliferation by facilitating cell cycle progression—often through upregulation of cyclins and cyclin-dependent kinases—and by inhibiting apoptosis via increased levels of anti-apoptotic proteins such as Bcl-2, while ICT1 depletion leads to cell cycle arrest (at G0/G1 or G2/M phases) and activation of apoptotic cascades. Moreover, its expression is regulated by specific microRNAs (e.g., miR-205 and miR-134) and linked to signaling axes such as STAT3/BCL-2, underscoring its potential as both a prognostic biomarker and a therapeutic target."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "2", "end_ref": "10"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nCollectively, these findings reveal that MRPL58/ICT1 plays a dual role in cellular homeostasis: it is essential for maintaining mitochondrial translation fidelity while concurrently modulating key regulators of cell proliferation and apoptosis to drive tumorigenesis. This multifaceted role highlights ICT1’s potential as a molecular target for the development of novel diagnostic and therapeutic strategies in cancer treatment.\n"}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Ricarda Richter, Joanna Rorbach, Aleksandra Pajak, et al. "}, {"type": "b", "children": [{"type": "t", "text": "A functional peptidyl-tRNA hydrolase, ICT1, has been recruited into the human mitochondrial ribosome."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "EMBO J (2010)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/emboj.2010.14"}], "href": "https://doi.org/10.1038/emboj.2010.14"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "20186120"}], "href": "https://pubmed.ncbi.nlm.nih.gov/20186120"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Xinyuan Lao, Qingyang Feng, Guodong He, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Immature Colon Carcinoma Transcript-1 (ICT1) Expression Correlates with Unfavorable Prognosis and Survival in Patients with Colorectal Cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Ann Surg Oncol (2016)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1245/s10434-016-5305-1"}], "href": "https://doi.org/10.1245/s10434-016-5305-1"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "27411551"}], "href": "https://pubmed.ncbi.nlm.nih.gov/27411551"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Yiling Wang, Jiantao He, Shenghui Zhang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Knockdown of Immature Colon Carcinoma Transcript 1 Inhibits Proliferation and Promotes Apoptosis of Non-Small Cell Lung Cancer Cells."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Technol Cancer Res Treat (2017)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1177/1533034616657977"}], "href": "https://doi.org/10.1177/1533034616657977"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "27413166"}], "href": "https://pubmed.ncbi.nlm.nih.gov/27413166"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Chen Wang, Chenlu Liang, Weiliang Feng, et al. "}, {"type": "b", "children": [{"type": "t", "text": "ICT1 knockdown inhibits breast cancer cell growth via induction of cell cycle arrest and apoptosis."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Int J Mol Med (2017)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3892/ijmm.2017.2913"}], "href": "https://doi.org/10.3892/ijmm.2017.2913"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "28290601"}], "href": "https://pubmed.ncbi.nlm.nih.gov/28290601"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Wenjun Xie, Meijuan Wu, Tianhong Fu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "ICT1 predicts a poor survival and correlated with cell proliferation in diffuse large B-cell lymphoma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Gene (2017)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.gene.2017.06.028"}], "href": "https://doi.org/10.1016/j.gene.2017.06.028"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "28629825"}], "href": "https://pubmed.ncbi.nlm.nih.gov/28629825"}]}, {"type": "r", "ref": 6, "children": [{"type": "t", "text": "Youmao Tao, Yan Song, Tao Han, et al. "}, {"type": "b", "children": [{"type": "t", "text": "miR-205 regulation of ICT1 has an oncogenic potential via promoting the migration and invasion of gastric cancer cells."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Biomed Pharmacother (2017)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.biopha.2017.09.147"}], "href": "https://doi.org/10.1016/j.biopha.2017.09.147"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "28987942"}], "href": "https://pubmed.ncbi.nlm.nih.gov/28987942"}]}, {"type": "r", "ref": 7, "children": [{"type": "t", "text": "Zishu Wang, Gongsheng Jin, Qiong Wu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Immature colon carcinoma transcript-1 promotes proliferation of gastric cancer cells."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Acta Biochim Biophys Sin (Shanghai) (2017)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1093/abbs/gmx099"}], "href": "https://doi.org/10.1093/abbs/gmx099"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "29036264"}], "href": "https://pubmed.ncbi.nlm.nih.gov/29036264"}]}, {"type": "r", "ref": 8, "children": [{"type": "t", "text": "Weiping Chang, Zhaoxiang Yu, Ming Tian, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Immature colon carcinoma transcript-1 promotes cell growth of hepatocellular carcinoma via facilitating cell cycle progression and apoptosis resistance."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Oncol Rep (2017)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3892/or.2017.6046"}], "href": "https://doi.org/10.3892/or.2017.6046"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "29130100"}], "href": "https://pubmed.ncbi.nlm.nih.gov/29130100"}]}, {"type": "r", "ref": 9, "children": [{"type": "t", "text": "Guang-Yao Li, Ji-Zhu Liu, Li Zhang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Knockdown of immature colon carcinoma transcript 1 induces suppression of proliferation, S-phase arrest and apoptosis in leukemia cells."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Oncol Rep (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3892/or.2018.6185"}], "href": "https://doi.org/10.3892/or.2018.6185"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "29328466"}], "href": "https://pubmed.ncbi.nlm.nih.gov/29328466"}]}, {"type": "r", "ref": 10, "children": [{"type": "t", "text": "Xiaohui Pan, Jingxue Tan, Xiaokun Weng, et al. "}, {"type": "b", "children": [{"type": "t", "text": "ICT1 Promotes Osteosarcoma Cell Proliferation and Inhibits Apoptosis via STAT3/BCL-2 Pathway."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Biomed Res Int (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1155/2021/8971728"}], "href": "https://doi.org/10.1155/2021/8971728"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "33585660"}], "href": "https://pubmed.ncbi.nlm.nih.gov/33585660"}]}]}]}
|
| NCBI Gene ID | 3396 |
| API | |
| Download Associations | |
| Predicted Functions |
![]() |
| Co-expressed Genes |
![]() |
| Expression in Tissues and Cell Lines |
![]() |
MRPL58 has 2,896 functional associations with biological entities spanning 5 categories (chemical, functional term, phrase or reference, disease, phenotype or trait, cell line, cell type or tissue, gene, protein or microRNA) extracted from 40 datasets.
Click the + buttons to view associations for MRPL58 from the datasets below.
If available, associations are ranked by standardized value
| Dataset | Summary | |
|---|---|---|
| Allen Brain Atlas Aging Dementia and Traumatic Brain Injury Tissue Sample Gene Expression Profiles | tissue samples with high or low expression of MRPL58 gene relative to other tissue samples from the Allen Brain Atlas Aging Dementia and Traumatic Brain Injury Tissue Sample Gene Expression Profiles dataset. | |
| Carcinogenome Chemical Perturbation Carcinogenicity Signatures | small molecule perturbations changing expression of MRPL58 gene from the Carcinogenome Chemical Perturbation Carcinogenicity Signatures dataset. | |
| CCLE Cell Line Proteomics | Cell lines associated with MRPL58 protein from the CCLE Cell Line Proteomics dataset. | |
| ChEA Transcription Factor Targets 2022 | transcription factors binding the promoter of MRPL58 gene in low- or high-throughput transcription factor functional studies from the CHEA Transcription Factor Targets 2022 dataset. | |
| CM4AI KOLF21J CRISPRi Gene Perturbation Atlas | gene perturbations changing expression of MRPL58 gene from the CM4AI KOLF21J CRISPRi Gene Perturbation Atlas dataset. | |
| CM4AI U2OS Cell Map Protein Localization Assemblies | assemblies containing MRPL58 protein from integrated AP-MS and IF data from the CM4AI U2OS Cell Map Protein Localization Assemblies dataset. | |
| COMPARTMENTS Curated Protein Localization Evidence Scores 2025 | cellular components containing MRPL58 protein from the COMPARTMENTS Curated Protein Localization Evidence Scores 2025 dataset. | |
| COMPARTMENTS Experimental Protein Localization Evidence Scores 2025 | cellular components containing MRPL58 protein in low- or high-throughput protein localization assays from the COMPARTMENTS Experimental Protein Localization Evidence Scores 2025 dataset. | |
| COMPARTMENTS Text-mining Protein Localization Evidence Scores 2025 | cellular components co-occuring with MRPL58 protein in abstracts of biomedical publications from the COMPARTMENTS Text-mining Protein Localization Evidence Scores 2025 dataset. | |
| DeepCoverMOA Drug Mechanisms of Action | small molecule perturbations with high or low expression of MRPL58 protein relative to other small molecule perturbations from the DeepCoverMOA Drug Mechanisms of Action dataset. | |
| DISEASES Text-mining Gene-Disease Association Evidence Scores 2025 | diseases co-occuring with MRPL58 gene in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores 2025 dataset. | |
| DisGeNET Gene-Disease Associations | diseases associated with MRPL58 gene in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset. | |
| DisGeNET Gene-Phenotype Associations | phenotypes associated with MRPL58 gene in GWAS and other genetic association datasets from the DisGeNET Gene-Phenoptype Associations dataset. | |
| GO Biological Process Annotations 2023 | biological processes involving MRPL58 gene from the curated GO Biological Process Annotations 2023 dataset. | |
| GO Biological Process Annotations 2025 | biological processes involving MRPL58 gene from the curated GO Biological Process Annotations2025 dataset. | |
| GO Cellular Component Annotations 2023 | cellular components containing MRPL58 protein from the curated GO Cellular Component Annotations 2023 dataset. | |
| GO Cellular Component Annotations 2025 | cellular components containing MRPL58 protein from the curated GO Cellular Component Annotations 2025 dataset. | |
| GO Molecular Function Annotations 2023 | molecular functions performed by MRPL58 gene from the curated GO Molecular Function Annotations 2023 dataset. | |
| GO Molecular Function Annotations 2025 | molecular functions performed by MRPL58 gene from the curated GO Molecular Function Annotations 2025 dataset. | |
| GTEx Tissue Gene Expression Profiles 2023 | tissues with high or low expression of MRPL58 gene relative to other tissues from the GTEx Tissue Gene Expression Profiles 2023 dataset. | |
| GTEx Tissue-Specific Aging Signatures | tissue samples with high or low expression of MRPL58 gene relative to other tissue samples from the GTEx Tissue-Specific Aging Signatures dataset. | |
| GWAS Catalog SNP-Phenotype Associations 2025 | phenotypes associated with MRPL58 gene in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset. | |
| IMPC Knockout Mouse Phenotypes | phenotypes of mice caused by MRPL58 gene knockout from the IMPC Knockout Mouse Phenotypes dataset. | |
| JASPAR Predicted Human Transcription Factor Targets 2025 | transcription factors regulating expression of MRPL58 gene predicted using known transcription factor binding site motifs from the JASPAR Predicted Human Transcription Factor Targets dataset. | |
| JASPAR Predicted Mouse Transcription Factor Targets 2025 | transcription factors regulating expression of MRPL58 gene predicted using known transcription factor binding site motifs from the JASPAR Predicted Mouse Transcription Factor Targets 2025 dataset. | |
| LINCS L1000 CMAP Chemical Perturbation Consensus Signatures | small molecule perturbations changing expression of MRPL58 gene from the LINCS L1000 CMAP Chemical Perturbations Consensus Signatures dataset. | |
| LINCS L1000 CMAP CRISPR Knockout Consensus Signatures | gene perturbations changing expression of MRPL58 gene from the LINCS L1000 CMAP CRISPR Knockout Consensus Signatures dataset. | |
| MGI Mouse Phenotype Associations 2023 | phenotypes of transgenic mice caused by MRPL58 gene mutations from the MGI Mouse Phenotype Associations 2023 dataset. | |
| MoTrPAC Rat Endurance Exercise Training | tissue samples with high or low expression of MRPL58 gene relative to other tissue samples from the MoTrPAC Rat Endurance Exercise Training dataset. | |
| NIBR DRUG-seq U2OS MoA Box Gene Expression Profiles | drug perturbations changing expression of MRPL58 gene from the NIBR DRUG-seq U2OS MoA Box dataset. | |
| Reactome Pathways 2024 | pathways involving MRPL58 protein from the Reactome Pathways 2024 dataset. | |
| Replogle et al., Cell, 2022 K562 Essential Perturb-seq Gene Perturbation Signatures | gene perturbations changing expression of MRPL58 gene from the Replogle et al., Cell, 2022 K562 Essential Perturb-seq Gene Perturbation Signatures dataset. | |
| Replogle et al., Cell, 2022 K562 Genome-wide Perturb-seq Gene Perturbation Signatures | gene perturbations changing expression of MRPL58 gene from the Replogle et al., Cell, 2022 K562 Genome-wide Perturb-seq Gene Perturbation Signatures dataset. | |
| Rummagene Transcription Factor Associations 2026 | transcription factors regulating expression of MRPL58 gene from the Rummagene Transcription Factor Associations 2026 dataset. | |
| RummaGEO Drug Perturbation Signatures | drug perturbations changing expression of MRPL58 gene from the RummaGEO Drug Perturbation Signatures dataset. | |
| RummaGEO Gene Perturbation Signatures | gene perturbations changing expression of MRPL58 gene from the RummaGEO Gene Perturbation Signatures dataset. | |
| Sci-Plex Drug Perturbation Signatures | drug perturbations changing expression of MRPL58 gene from the Sci-Plex Drug Perturbation Signatures dataset. | |
| TISSUES Curated Tissue Protein Expression Evidence Scores 2025 | tissues with high expression of MRPL58 protein from the TISSUES Curated Tissue Protein Expression Evidence Scores 2025 dataset. | |
| TISSUES Experimental Tissue Protein Expression Evidence Scores 2025 | tissues with high expression of MRPL58 protein in proteomics datasets from the TISSUES Experimental Tissue Protein Expression Evidence Scores 2025 dataset. | |
| TISSUES Text-mining Tissue Protein Expression Evidence Scores 2025 | tissues co-occuring with MRPL58 protein in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores 2025 dataset. | |