IQCN Gene

Name IQ motif containing N
Description Involved in spermatid development. Located in mitochondrion. Implicated in spermatogenic failure 78. [provided by Alliance of Genome Resources, Mar 2025]
Summary
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n A review of the eight abstracts shows that none of them address or characterize the function of IQCN. In these studies, the focus is placed on a diverse array of biological functions and systems. For example, one study details how a threonyl‐tRNA synthetase–like protein (ThrRS‐L) is integrated into the multiple tRNA synthetase complex through a recently evolved N‐terminal extension that mediates protein–protein interactions."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": " Another abstract examines a quantitative trait locus related to female fertility and identifies candidate genes"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": ", while others explore the protein composition of nuclear bodies"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "3"}]}, {"type": "t", "text": ", innovate gene therapy approaches for HIV‐1"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "4"}]}, {"type": "t", "text": ", and analyze transcriptional networks linked to insulin sensitivity in different ethnic groups."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "5"}]}, {"type": "t", "text": " Further, epigenomic changes in the context of arsenic exposure"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "6"}]}, {"type": "t", "text": ", computational strategies for identifying mutually exclusive cancer driver modules"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "7"}]}, {"type": "t", "text": ", and the prognostic significance of CARD9 in esophageal carcinoma"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "8"}]}, {"type": "t", "text": "are discussed in additional reports.\n "}]}, {"type": "t", "text": "\n "}, {"type": "p", "children": [{"type": "t", "text": "\n However, none of these abstracts provide any direct evidence or discussion of IQCN. Therefore, based on the provided literature, no function for IQCN can be deduced. Additional, IQCN‐focused studies would be required to clarify its potential biological role.\n "}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Xiao-Long Zhou, Yun Chen, Qi-Yu Zeng, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Newly acquired N-terminal extension targets threonyl-tRNA synthetase-like protein into the multiple tRNA synthetase complex."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Nucleic Acids Res (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1093/nar/gkz588"}], "href": "https://doi.org/10.1093/nar/gkz588"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31287872"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31287872"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Giora Glick, Andrey Shirak, Eyal Seroussi, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Fine Mapping of a QTL for Fertility on BTA7 and Its Association With a CNV in the Israeli Holsteins."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "G3 (Bethesda) (2011)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1534/g3.111.000299"}], "href": "https://doi.org/10.1534/g3.111.000299"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "22384319"}], "href": "https://pubmed.ncbi.nlm.nih.gov/22384319"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Ka-Wing Fong, Yujing Li, Wenqi Wang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Whole-genome screening identifies proteins localized to distinct nuclear bodies."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Cell Biol (2013)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1083/jcb.201303145"}], "href": "https://doi.org/10.1083/jcb.201303145"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "24127217"}], "href": "https://pubmed.ncbi.nlm.nih.gov/24127217"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "David L DiGiusto, Rodica Stan, Amrita Krishnan, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Development of hematopoietic stem cell based gene therapy for HIV-1 infection: considerations for proof of concept studies and translation to standard medical practice."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Viruses (2013)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3390/v5112898"}], "href": "https://doi.org/10.3390/v5112898"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "24284880"}], "href": "https://pubmed.ncbi.nlm.nih.gov/24284880"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Swapan Kumar Das, Neeraj Kumar Sharma, Bin Zhang "}, {"type": "b", "children": [{"type": "t", "text": "Integrative network analysis reveals different pathophysiological mechanisms of insulin resistance among Caucasians and African Americans."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "BMC Med Genomics (2015)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1186/s12920-015-0078-0"}], "href": "https://doi.org/10.1186/s12920-015-0078-0"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "25868721"}], "href": "https://pubmed.ncbi.nlm.nih.gov/25868721"}]}, {"type": "r", "ref": 6, "children": [{"type": "t", "text": "Wei Jie Seow, Molly L Kile, Andrea A Baccarelli, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Epigenome-wide DNA methylation changes with development of arsenic-induced skin lesions in Bangladesh: a case-control follow-up study."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Environ Mol Mutagen (2014)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1002/em.21860"}], "href": "https://doi.org/10.1002/em.21860"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "24677489"}], "href": "https://pubmed.ncbi.nlm.nih.gov/24677489"}]}, {"type": "r", "ref": 7, "children": [{"type": "t", "text": "Bo Gao, Yue Zhao, Yang Li, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Prediction of Driver Modules via Balancing Exclusive Coverages of Mutations in Cancer Samples."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Adv Sci (Weinh) (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1002/advs.201801384"}], "href": "https://doi.org/10.1002/advs.201801384"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "30828525"}], "href": "https://pubmed.ncbi.nlm.nih.gov/30828525"}]}, {"type": "r", "ref": 8, "children": [{"type": "t", "text": "Nobufumi Sekino, Masayuki Kano, Haruhito Sakata, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Caspase recruitment domain family member 9 expression is a promising biomarker in esophageal squamous cell carcinoma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Ann Gastroenterol Surg (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1002/ags3.12305"}], "href": "https://doi.org/10.1002/ags3.12305"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "32258978"}], "href": "https://pubmed.ncbi.nlm.nih.gov/32258978"}]}]}]}
NCBI Gene ID 80726
API
Download Associations
Predicted Functions View IQCN's ARCHS4 Predicted Functions.
Co-expressed Genes View IQCN's ARCHS4 Predicted Functions.
Expression in Tissues and Cell Lines View IQCN's ARCHS4 Predicted Functions.

Functional Associations

IQCN has 1,439 functional associations with biological entities spanning 6 categories (functional term, phrase or reference, disease, phenotype or trait, chemical, cell line, cell type or tissue, gene, protein or microRNA, sequence feature) extracted from 18 datasets.

Click the + buttons to view associations for IQCN 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 IQCN gene relative to other tissue samples from the Allen Brain Atlas Aging Dementia and Traumatic Brain Injury Tissue Sample Gene Expression Profiles dataset.
CM4AI KOLF21J CRISPRi Gene Perturbation Atlas gene perturbations changing expression of IQCN gene from the CM4AI KOLF21J CRISPRi Gene Perturbation Atlas dataset.
COMPARTMENTS Curated Protein Localization Evidence Scores 2025 cellular components containing IQCN protein from the COMPARTMENTS Curated Protein Localization Evidence Scores 2025 dataset.
COMPARTMENTS Text-mining Protein Localization Evidence Scores 2025 cellular components co-occuring with IQCN protein in abstracts of biomedical publications from the COMPARTMENTS Text-mining Protein Localization Evidence Scores 2025 dataset.
DISEASES Experimental Gene-Disease Association Evidence Scores 2025 diseases associated with IQCN gene in GWAS datasets from the DISEASES Experimental Gene-Disease Assocation Evidence Scores 2025 dataset.
DISEASES Text-mining Gene-Disease Association Evidence Scores 2025 diseases co-occuring with IQCN gene in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores 2025 dataset.
GO Biological Process Annotations 2025 biological processes involving IQCN gene from the curated GO Biological Process Annotations2025 dataset.
GO Cellular Component Annotations 2025 cellular components containing IQCN protein from the curated GO Cellular Component Annotations 2025 dataset.
GTEx eQTL 2025 SNPs regulating expression of IQCN gene from the GTEx eQTL 2025 dataset.
GWAS Catalog SNP-Phenotype Associations 2025 phenotypes associated with IQCN gene in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset.
JASPAR Predicted Human Transcription Factor Targets 2025 transcription factors regulating expression of IQCN 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 IQCN gene predicted using known transcription factor binding site motifs from the JASPAR Predicted Mouse Transcription Factor Targets 2025 dataset.
Rummagene Transcription Factor Associations 2026 transcription factors regulating expression of IQCN gene from the Rummagene Transcription Factor Associations 2026 dataset.
RummaGEO Drug Perturbation Signatures drug perturbations changing expression of IQCN gene from the RummaGEO Drug Perturbation Signatures dataset.
RummaGEO Gene Perturbation Signatures gene perturbations changing expression of IQCN gene from the RummaGEO Gene Perturbation Signatures dataset.
Sci-Plex Drug Perturbation Signatures drug perturbations changing expression of IQCN gene from the Sci-Plex Drug Perturbation Signatures dataset.
TISSUES Curated Tissue Protein Expression Evidence Scores 2025 tissues with high expression of IQCN protein from the TISSUES Curated Tissue Protein Expression Evidence Scores 2025 dataset.
TISSUES Text-mining Tissue Protein Expression Evidence Scores 2025 tissues co-occuring with IQCN protein in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores 2025 dataset.