| Name | dynein light chain Tctex-type family member 5 |
| Description | Predicted to enable dynein intermediate chain binding activity. Predicted to be involved in microtubule-based movement. Predicted to be part of cytoplasmic dynein complex. Predicted to be active in cytoplasm. [provided by Alliance of Genome Resources, Mar 2025] |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n DYNLT5 is a member of the dynein light chain family that contributes to the proper function of the cytoplasmic dynein motor complex, a key player in microtubule‐mediated intracellular transport. Experimental evidence indicates that DYNLT5 is involved in ciliary assembly and function by mediating the trafficking of proteins required for retrograde intraflagellar transport and basal body homeostasis."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": " In addition, DYNLT5 interacts with regulatory molecules such as protein phosphatase PPP1 to influence microtubule dynamics, which is critical for processes including sperm flagellar motility, acrosome formation, and the regulation of the blood–testis barrier."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": " Beyond its cell biological roles, genetic studies have linked alterations in DYNLT5 isoforms (e.g., TCTEX1D1) to human disease phenotypes; variants in this gene are associated with an accelerated loss of ambulation in Duchenne muscular dystrophy"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "3"}]}, {"type": "t", "text": ", its differential expression serves as a prognostic biomarker in clear cell renal cell carcinoma"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "4"}]}, {"type": "t", "text": ", and it has been identified in transcriptome‐wide analyses as a risk gene for depression."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "5"}]}, {"type": "t", "text": " Collectively, these findings support the view that DYNLT5 is integral not only to fundamental intracellular and organellar transport processes but also to the modulation of complex disease phenotypes, thereby positioning it as a potentially important therapeutic target.\n "}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Ankur A Gholkar, Silvia Senese, Yu-Chen Lo, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Tctex1d2 associates with short-rib polydactyly syndrome proteins and is required for ciliogenesis."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cell Cycle (2015)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.4161/15384101.2014.985066"}], "href": "https://doi.org/10.4161/15384101.2014.985066"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "25830415"}], "href": "https://pubmed.ncbi.nlm.nih.gov/25830415"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Luís Korrodi-Gregório, Sandra I Vieira, Sara L C Esteves, et al. "}, {"type": "b", "children": [{"type": "t", "text": "TCTEX1D4, a novel protein phosphatase 1 interactor: connecting the phosphatase to the microtubule network."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Biol Open (2013)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1242/bio.20131065"}], "href": "https://doi.org/10.1242/bio.20131065"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "23789093"}], "href": "https://pubmed.ncbi.nlm.nih.gov/23789093"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Pietro Spitali, Irina Zaharieva, Stefan Bohringer, et al. "}, {"type": "b", "children": [{"type": "t", "text": "TCTEX1D1 is a genetic modifier of disease progression in Duchenne muscular dystrophy."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Eur J Hum Genet (2020)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/s41431-019-0563-6"}], "href": "https://doi.org/10.1038/s41431-019-0563-6"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31896777"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31896777"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Jingmin Zhou, Guanghua Liu, Xingcheng Wu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "A Risk Score Model Based on Nine Differentially Methylated mRNAs for Predicting Prognosis of Patients with Clear Cell Renal Cell Carcinoma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Dis Markers (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1155/2021/8863799"}], "href": "https://doi.org/10.1155/2021/8863799"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "33510822"}], "href": "https://pubmed.ncbi.nlm.nih.gov/33510822"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Xiaoyan Li, Xi Su, Jiewei Liu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Transcriptome-wide association study identifies new susceptibility genes and pathways for depression."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Transl Psychiatry (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/s41398-021-01411-w"}], "href": "https://doi.org/10.1038/s41398-021-01411-w"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34021117"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34021117"}]}]}]}
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| NCBI Gene ID | 200132 |
| API | |
| Download Associations | |
| Predicted Functions |
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| Co-expressed Genes |
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| Expression in Tissues and Cell Lines |
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DYNLT5 has 754 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 19 datasets.
Click the + buttons to view associations for DYNLT5 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 DYNLT5 gene relative to other tissue samples from the Allen Brain Atlas Aging Dementia and Traumatic Brain Injury Tissue Sample Gene Expression Profiles dataset. | |
| CellMarker Gene-Cell Type Associations | cell types associated with DYNLT5 gene from the CellMarker Gene-Cell Type Associations dataset. | |
| CM4AI KOLF21J CRISPRi Gene Perturbation Atlas | gene perturbations changing expression of DYNLT5 gene from the CM4AI KOLF21J CRISPRi Gene Perturbation Atlas dataset. | |
| COMPARTMENTS Curated Protein Localization Evidence Scores 2025 | cellular components containing DYNLT5 protein from the COMPARTMENTS Curated Protein Localization Evidence Scores 2025 dataset. | |
| COMPARTMENTS Text-mining Protein Localization Evidence Scores 2025 | cellular components co-occuring with DYNLT5 protein in abstracts of biomedical publications from the COMPARTMENTS Text-mining Protein Localization Evidence Scores 2025 dataset. | |
| GO Cellular Component Annotations 2025 | cellular components containing DYNLT5 protein from the curated GO Cellular Component Annotations 2025 dataset. | |
| GTEx eQTL 2025 | SNPs regulating expression of DYNLT5 gene from the GTEx eQTL 2025 dataset. | |
| GTEx Tissue Gene Expression Profiles 2023 | tissues with high or low expression of DYNLT5 gene relative to other tissues from the GTEx Tissue Gene Expression Profiles 2023 dataset. | |
| GWAS Catalog SNP-Phenotype Associations 2025 | phenotypes associated with DYNLT5 gene in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset. | |
| HuBMAP Azimuth Cell Type Annotations | cell types associated with DYNLT5 gene from the HuBMAP Azimuth Cell Type Annotations dataset. | |
| JASPAR Predicted Human Transcription Factor Targets 2025 | transcription factors regulating expression of DYNLT5 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 DYNLT5 gene predicted using known transcription factor binding site motifs from the JASPAR Predicted Mouse Transcription Factor Targets 2025 dataset. | |
| KEGG Pathways 2026 | pathways involving DYNLT5 protein from the KEGG Pathways 2026 dataset. | |
| Reactome Pathways 2024 | pathways involving DYNLT5 protein from the Reactome Pathways 2024 dataset. | |
| Rummagene Transcription Factor Associations 2026 | transcription factors regulating expression of DYNLT5 gene from the Rummagene Transcription Factor Associations 2026 dataset. | |
| RummaGEO Drug Perturbation Signatures | drug perturbations changing expression of DYNLT5 gene from the RummaGEO Drug Perturbation Signatures dataset. | |
| RummaGEO Gene Perturbation Signatures | gene perturbations changing expression of DYNLT5 gene from the RummaGEO Gene Perturbation Signatures dataset. | |
| TISSUES Experimental Tissue Protein Expression Evidence Scores 2025 | tissues with high expression of DYNLT5 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 DYNLT5 protein in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores 2025 dataset. | |