| Name | SEC16 homolog B (S. cerevisiae) |
| Description | SEC16B is a mammalian homolog of S. cerevisiae Sec16 that is required for organization of transitional endoplasmic reticulum (ER) sites and protein export (Bhattacharyya and Glick, 2007 [PubMed 17192411]).[supplied by OMIM, Jun 2009] |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\nSEC16B encodes a protein that shares homology with yeast Sec16 and localizes to specialized regions of the endoplasmic reticulum (ER) known as transitional ER (tER) sites. At these sites, SEC16B plays a critical role in organizing the assembly of COPII vesicles—the transport carriers that mediate protein export from the ER to the Golgi apparatus. In mammalian cells, although its paralog SEC16A is the primary ortholog, SEC16B exhibits distinct properties such as a unique localization pattern and dynamics. Notably, recent findings have revealed an unexpected function for SEC16B in peroxisome biogenesis: experimental overexpression leads to redistribution of peroxisomal membrane proteins (Pex3 and Pex16) to SEC16B‐positive ER membranes, while its knockdown perturbs peroxisome morphology and inhibits proper protein trafficking."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "1", "end_ref": "3"}]}, {"type": "t", "text": "\n"}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nIn parallel, extensive genome‐wide association studies across multiple populations have consistently implicated SEC16B as an obesity susceptibility locus. Variants within SEC16B are robustly associated with increased body mass index (BMI) and obesity risk in diverse cohorts—including Caucasian, Japanese, Chinese, and African groups—and in both adult and pediatric settings. These genetic studies underscore an important link between SEC16B and metabolic regulation, suggesting that the same mechanisms that govern intracellular protein trafficking and organelle biogenesis may also impact energy balance and adiposity. The cumulative evidence from multiple case–control and population‐based studies accentuates the potential of SEC16B as a critical factor in early-onset obesity and a promising target for further mechanistic investigations into obesity pathogenesis."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "4", "end_ref": "14"}]}, {"type": "t", "text": "\n"}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Dibyendu Bhattacharyya, Benjamin S Glick "}, {"type": "b", "children": [{"type": "t", "text": "Two mammalian Sec16 homologues have nonredundant functions in endoplasmic reticulum (ER) export and transitional ER organization."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Mol Biol Cell (2007)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1091/mbc.e06-08-0707"}], "href": "https://doi.org/10.1091/mbc.e06-08-0707"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "17192411"}], "href": "https://pubmed.ncbi.nlm.nih.gov/17192411"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Shusuke Yonekawa, Akiko Furuno, Takashi Baba, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Sec16B is involved in the endoplasmic reticulum export of the peroxisomal membrane biogenesis factor peroxin 16 (Pex16) in mammalian cells."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Proc Natl Acad Sci U S A (2011)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1073/pnas.1103283108"}], "href": "https://doi.org/10.1073/pnas.1103283108"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "21768384"}], "href": "https://pubmed.ncbi.nlm.nih.gov/21768384"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Annika Budnik, Kate J Heesom, David J Stephens "}, {"type": "b", "children": [{"type": "t", "text": "Characterization of human Sec16B: indications of specialized, non-redundant functions."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Sci Rep (2011)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/srep00077"}], "href": "https://doi.org/10.1038/srep00077"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "22355596"}], "href": "https://pubmed.ncbi.nlm.nih.gov/22355596"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Shengxu Li, Jing Hua Zhao, Jian'an Luan, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Cumulative effects and predictive value of common obesity-susceptibility variants identified by genome-wide association studies."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Am J Clin Nutr (2010)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3945/ajcn.2009.28403"}], "href": "https://doi.org/10.3945/ajcn.2009.28403"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "19812171"}], "href": "https://pubmed.ncbi.nlm.nih.gov/19812171"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Kikuko Hotta, Michihiro Nakamura, Takahiro Nakamura, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Association between obesity and polymorphisms in SEC16B, TMEM18, GNPDA2, BDNF, FAIM2 and MC4R in a Japanese population."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Hum Genet (2009)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/jhg.2009.106"}], "href": "https://doi.org/10.1038/jhg.2009.106"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "19851340"}], "href": "https://pubmed.ncbi.nlm.nih.gov/19851340"}]}, {"type": "r", "ref": 6, "children": [{"type": "t", "text": "Maggie C Y Ng, Claudia H T Tam, Wing Yee So, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Implication of genetic variants near NEGR1, SEC16B, TMEM18, ETV5/DGKG, GNPDA2, LIN7C/BDNF, MTCH2, BCDIN3D/FAIM2, SH2B1, FTO, MC4R, and KCTD15 with obesity and type 2 diabetes in 7705 Chinese."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Clin Endocrinol Metab (2010)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1210/jc.2009-2077"}], "href": "https://doi.org/10.1210/jc.2009-2077"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "20215397"}], "href": "https://pubmed.ncbi.nlm.nih.gov/20215397"}]}, {"type": "r", "ref": 7, "children": [{"type": "t", "text": "Jiajun Shi, Jirong Long, Yu-Tang Gao, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Evaluation of genetic susceptibility loci for obesity in Chinese women."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Am J Epidemiol (2010)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1093/aje/kwq129"}], "href": "https://doi.org/10.1093/aje/kwq129"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "20616199"}], "href": "https://pubmed.ncbi.nlm.nih.gov/20616199"}]}, {"type": "r", "ref": 8, "children": [{"type": "t", "text": "Marcel den Hoed, Ulf Ekelund, Søren Brage, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Genetic susceptibility to obesity and related traits in childhood and adolescence: influence of loci identified by genome-wide association studies."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Diabetes (2010)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.2337/db10-0370"}], "href": "https://doi.org/10.2337/db10-0370"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "20724581"}], "href": "https://pubmed.ncbi.nlm.nih.gov/20724581"}]}, {"type": "r", "ref": 9, "children": [{"type": "t", "text": "Bo Xi, Yue Shen, Kathleen Heather Reilly, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Sex-dependent associations of genetic variants identified by GWAS with indices of adiposity and obesity risk in a Chinese children population."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Clin Endocrinol (Oxf) (2013)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1111/cen.12091"}], "href": "https://doi.org/10.1111/cen.12091"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "23121087"}], "href": "https://pubmed.ncbi.nlm.nih.gov/23121087"}]}, {"type": "r", "ref": 10, "children": [{"type": "t", "text": "Duo Lv, Dan-Dan Zhang, Hao Wang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Genetic variations in SEC16B, MC4R, MAP2K5 and KCTD15 were associated with childhood obesity and interacted with dietary behaviors in Chinese school-age population."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Gene (2015)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.gene.2015.01.054"}], "href": "https://doi.org/10.1016/j.gene.2015.01.054"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "25637721"}], "href": "https://pubmed.ncbi.nlm.nih.gov/25637721"}]}, {"type": "r", "ref": 11, "children": [{"type": "t", "text": "M R Zandoná, C N Sangalli, P D B Campagnolo, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Validation of obesity susceptibility loci identified by genome-wide association studies in early childhood in South Brazilian children."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Pediatr Obes (2017)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1111/ijpo.12113"}], "href": "https://doi.org/10.1111/ijpo.12113"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "27005443"}], "href": "https://pubmed.ncbi.nlm.nih.gov/27005443"}]}, {"type": "r", "ref": 12, "children": [{"type": "t", "text": "Venesa Sahibdeen, Nigel J Crowther, Himla Soodyall, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Genetic variants in SEC16B are associated with body composition in black South Africans."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Nutr Diabetes (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/s41387-018-0050-0"}], "href": "https://doi.org/10.1038/s41387-018-0050-0"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "30026463"}], "href": "https://pubmed.ncbi.nlm.nih.gov/30026463"}]}, {"type": "r", "ref": 13, "children": [{"type": "t", "text": "Zhicheng Dai, Yuwen Wang, Zhichong Wu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Female-Specific Susceptibility Locus in BOC and SEC16B are Associated with Adolescent Idiopathic Scoliosis."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Spine (Phila Pa 1976) (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1097/BRS.0000000000004098"}], "href": "https://doi.org/10.1097/BRS.0000000000004098"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "33958541"}], "href": "https://pubmed.ncbi.nlm.nih.gov/33958541"}]}, {"type": "r", "ref": 14, "children": [{"type": "t", "text": "Hong Mei, Baoming Yin, Wenhong Yang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Associations between Gene-Gene Interaction and Overweight/Obesity of 12-Month-Old Chinese Infants."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Biomed Res Int (2022)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1155/2022/1499454"}], "href": "https://doi.org/10.1155/2022/1499454"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "35295960"}], "href": "https://pubmed.ncbi.nlm.nih.gov/35295960"}]}]}]}
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| Synonyms | LZTR2, PGPR-P117, RGPR-p117, RGPR, SEC16S |
| Proteins | SC16B_HUMAN |
| NCBI Gene ID | 89866 |
| 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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SEC16B has 3,515 functional associations with biological entities spanning 8 categories (molecular profile, organism, functional term, phrase or reference, chemical, disease, phenotype or trait, structural feature, cell line, cell type or tissue, gene, protein or microRNA) extracted from 96 datasets.
Click the + buttons to view associations for SEC16B from the datasets below.
If available, associations are ranked by standardized value
| Dataset | Summary | |
|---|---|---|
| Allen Brain Atlas Adult Human Brain Tissue Gene Expression Profiles | tissues with high or low expression of SEC16B gene relative to other tissues from the Allen Brain Atlas Adult Human Brain Tissue Gene Expression Profiles dataset. | |
| Allen Brain Atlas Adult Mouse Brain Tissue Gene Expression Profiles | tissues with high or low expression of SEC16B gene relative to other tissues from the Allen Brain Atlas Adult Mouse Brain Tissue Gene Expression Profiles dataset. | |
| Allen Brain Atlas Aging Dementia and Traumatic Brain Injury Tissue Sample Gene Expression Profiles | tissue samples with high or low expression of SEC16B gene relative to other tissue samples from the Allen Brain Atlas Aging Dementia and Traumatic Brain Injury Tissue Sample Gene Expression Profiles dataset. | |
| Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by Microarray | tissue samples with high or low expression of SEC16B gene relative to other tissue samples from the Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by Microarray dataset. | |
| Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by RNA-seq | tissue samples with high or low expression of SEC16B gene relative to other tissue samples from the Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by RNA-seq dataset. | |
| Allen Brain Atlas Prenatal Human Brain Tissue Gene Expression Profiles | tissues with high or low expression of SEC16B gene relative to other tissues from the Allen Brain Atlas Prenatal Human Brain Tissue Gene Expression Profiles dataset. | |
| BioGPS Human Cell Type and Tissue Gene Expression Profiles | cell types and tissues with high or low expression of SEC16B gene relative to other cell types and tissues from the BioGPS Human Cell Type and Tissue Gene Expression Profiles dataset. | |
| BioGPS Mouse Cell Type and Tissue Gene Expression Profiles | cell types and tissues with high or low expression of SEC16B gene relative to other cell types and tissues from the BioGPS Mouse Cell Type and Tissue Gene Expression Profiles dataset. | |
| CCLE Cell Line Gene CNV Profiles | cell lines with high or low copy number of SEC16B gene relative to other cell lines from the CCLE Cell Line Gene CNV Profiles dataset. | |
| CCLE Cell Line Gene Expression Profiles | cell lines with high or low expression of SEC16B gene relative to other cell lines from the CCLE Cell Line Gene Expression Profiles dataset. | |
| ChEA Transcription Factor Binding Site Profiles | transcription factor binding site profiles with transcription factor binding evidence at the promoter of SEC16B gene from the CHEA Transcription Factor Binding Site Profiles dataset. | |
| ChEA Transcription Factor Targets | transcription factors binding the promoter of SEC16B gene in low- or high-throughput transcription factor functional studies from the CHEA Transcription Factor Targets dataset. | |
| ChEA Transcription Factor Targets 2022 | transcription factors binding the promoter of SEC16B gene in low- or high-throughput transcription factor functional studies from the CHEA Transcription Factor Targets 2022 dataset. | |
| COMPARTMENTS Curated Protein Localization Evidence Scores | cellular components containing SEC16B protein from the COMPARTMENTS Curated Protein Localization Evidence Scores dataset. | |
| COMPARTMENTS Curated Protein Localization Evidence Scores 2025 | cellular components containing SEC16B protein from the COMPARTMENTS Curated Protein Localization Evidence Scores 2025 dataset. | |
| COMPARTMENTS Text-mining Protein Localization Evidence Scores | cellular components co-occuring with SEC16B protein in abstracts of biomedical publications from the COMPARTMENTS Text-mining Protein Localization Evidence Scores dataset. | |
| COMPARTMENTS Text-mining Protein Localization Evidence Scores 2025 | cellular components co-occuring with SEC16B protein in abstracts of biomedical publications from the COMPARTMENTS Text-mining Protein Localization Evidence Scores 2025 dataset. | |
| COSMIC Cell Line Gene CNV Profiles | cell lines with high or low copy number of SEC16B gene relative to other cell lines from the COSMIC Cell Line Gene CNV Profiles dataset. | |
| COSMIC Cell Line Gene Mutation Profiles | cell lines with SEC16B gene mutations from the COSMIC Cell Line Gene Mutation Profiles dataset. | |
| CTD Gene-Chemical Interactions | chemicals interacting with SEC16B gene/protein from the curated CTD Gene-Chemical Interactions dataset. | |
| CTD Gene-Disease Associations | diseases associated with SEC16B gene/protein from the curated CTD Gene-Disease Associations dataset. | |
| dbGAP Gene-Trait Associations | traits associated with SEC16B gene in GWAS and other genetic association datasets from the dbGAP Gene-Trait Associations dataset. | |
| DepMap CRISPR Gene Dependency | cell lines with fitness changed by SEC16B gene knockdown relative to other cell lines from the DepMap CRISPR Gene Dependency dataset. | |
| DISEASES Experimental Gene-Disease Association Evidence Scores | diseases associated with SEC16B gene in GWAS datasets from the DISEASES Experimental Gene-Disease Assocation Evidence Scores dataset. | |
| DISEASES Experimental Gene-Disease Association Evidence Scores 2025 | diseases associated with SEC16B gene in GWAS datasets from the DISEASES Experimental Gene-Disease Assocation Evidence Scores 2025 dataset. | |
| DISEASES Text-mining Gene-Disease Association Evidence Scores | diseases co-occuring with SEC16B gene in abstracts of biomedical publications from the DISEASES Text-mining Gene-Disease Assocation Evidence Scores dataset. | |
| DISEASES Text-mining Gene-Disease Association Evidence Scores 2025 | diseases co-occuring with SEC16B 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 SEC16B gene in GWAS and other genetic association datasets from the DisGeNET Gene-Disease Associations dataset. | |
| DisGeNET Gene-Phenotype Associations | phenotypes associated with SEC16B gene in GWAS and other genetic association datasets from the DisGeNET Gene-Phenoptype Associations dataset. | |
| ENCODE Histone Modification Site Profiles | histone modification site profiles with high histone modification abundance at SEC16B gene from the ENCODE Histone Modification Site Profiles dataset. | |
| ENCODE Transcription Factor Binding Site Profiles | transcription factor binding site profiles with transcription factor binding evidence at the promoter of SEC16B gene from the ENCODE Transcription Factor Binding Site Profiles dataset. | |
| ENCODE Transcription Factor Targets | transcription factors binding the promoter of SEC16B gene in ChIP-seq datasets from the ENCODE Transcription Factor Targets dataset. | |
| ESCAPE Omics Signatures of Genes and Proteins for Stem Cells | PubMedIDs of publications reporting gene signatures containing SEC16B from the ESCAPE Omics Signatures of Genes and Proteins for Stem Cells dataset. | |
| GAD Gene-Disease Associations | diseases associated with SEC16B gene in GWAS and other genetic association datasets from the GAD Gene-Disease Associations dataset. | |
| GeneRIF Biological Term Annotations | biological terms co-occuring with SEC16B gene in literature-supported statements describing functions of genes from the GeneRIF Biological Term Annotations dataset. | |
| GeneSigDB Published Gene Signatures | PubMedIDs of publications reporting gene signatures containing SEC16B from the GeneSigDB Published Gene Signatures dataset. | |
| GEO Signatures of Differentially Expressed Genes for Diseases | disease perturbations changing expression of SEC16B gene from the GEO Signatures of Differentially Expressed Genes for Diseases dataset. | |
| GEO Signatures of Differentially Expressed Genes for Gene Perturbations | gene perturbations changing expression of SEC16B gene from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset. | |
| GEO Signatures of Differentially Expressed Genes for Kinase Perturbations | kinase perturbations changing expression of SEC16B gene from the GEO Signatures of Differentially Expressed Genes for Kinase Perturbations dataset. | |
| GEO Signatures of Differentially Expressed Genes for Small Molecules | small molecule perturbations changing expression of SEC16B gene from the GEO Signatures of Differentially Expressed Genes for Small Molecules dataset. | |
| GEO Signatures of Differentially Expressed Genes for Transcription Factor Perturbations | transcription factor perturbations changing expression of SEC16B gene from the GEO Signatures of Differentially Expressed Genes for Transcription Factor Perturbations dataset. | |
| GEO Signatures of Differentially Expressed Genes for Viral Infections | virus perturbations changing expression of SEC16B gene from the GEO Signatures of Differentially Expressed Genes for Viral Infections dataset. | |
| GO Biological Process Annotations 2015 | biological processes involving SEC16B gene from the curated GO Biological Process Annotations 2015 dataset. | |
| GO Biological Process Annotations 2023 | biological processes involving SEC16B gene from the curated GO Biological Process Annotations 2023 dataset. | |
| GO Biological Process Annotations 2025 | biological processes involving SEC16B gene from the curated GO Biological Process Annotations2025 dataset. | |
| GO Cellular Component Annotations 2015 | cellular components containing SEC16B protein from the curated GO Cellular Component Annotations 2015 dataset. | |
| GO Cellular Component Annotations 2023 | cellular components containing SEC16B protein from the curated GO Cellular Component Annotations 2023 dataset. | |
| GO Cellular Component Annotations 2025 | cellular components containing SEC16B protein from the curated GO Cellular Component Annotations 2025 dataset. | |
| GTEx Tissue Gene Expression Profiles | tissues with high or low expression of SEC16B gene relative to other tissues from the GTEx Tissue Gene Expression Profiles dataset. | |
| GTEx Tissue Gene Expression Profiles 2023 | tissues with high or low expression of SEC16B gene relative to other tissues from the GTEx Tissue Gene Expression Profiles 2023 dataset. | |
| GTEx Tissue Sample Gene Expression Profiles | tissue samples with high or low expression of SEC16B gene relative to other tissue samples from the GTEx Tissue Sample Gene Expression Profiles dataset. | |
| GTEx Tissue-Specific Aging Signatures | tissue samples with high or low expression of SEC16B gene relative to other tissue samples from the GTEx Tissue-Specific Aging Signatures dataset. | |
| GWAS Catalog SNP-Phenotype Associations | phenotypes associated with SEC16B gene in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations dataset. | |
| GWAS Catalog SNP-Phenotype Associations 2025 | phenotypes associated with SEC16B gene in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations 2025 dataset. | |
| GWASdb SNP-Disease Associations | diseases associated with SEC16B gene in GWAS and other genetic association datasets from the GWASdb SNP-Disease Associations dataset. | |
| GWASdb SNP-Phenotype Associations | phenotypes associated with SEC16B gene in GWAS datasets from the GWASdb SNP-Phenotype Associations dataset. | |
| Heiser et al., PNAS, 2011 Cell Line Gene Expression Profiles | cell lines with high or low expression of SEC16B gene relative to other cell lines from the Heiser et al., PNAS, 2011 Cell Line Gene Expression Profiles dataset. | |
| HPA Cell Line Gene Expression Profiles | cell lines with high or low expression of SEC16B gene relative to other cell lines from the HPA Cell Line Gene Expression Profiles dataset. | |
| HPA Tissue Gene Expression Profiles | tissues with high or low expression of SEC16B gene relative to other tissues from the HPA Tissue Gene Expression Profiles dataset. | |
| HPA Tissue Protein Expression Profiles | tissues with high or low expression of SEC16B protein relative to other tissues from the HPA Tissue Protein Expression Profiles dataset. | |
| HPA Tissue Sample Gene Expression Profiles | tissue samples with high or low expression of SEC16B gene relative to other tissue samples from the HPA Tissue Sample Gene Expression Profiles dataset. | |
| HuBMAP ASCT+B Annotations | cell types associated with SEC16B gene from the HuBMAP ASCT+B dataset. | |
| HuBMAP ASCT+B Augmented with RNA-seq Coexpression | cell types associated with SEC16B gene from the HuBMAP ASCT+B Augmented with RNA-seq Coexpression dataset. | |
| HuGE Navigator Gene-Phenotype Associations | phenotypes associated with SEC16B gene by text-mining GWAS publications from the HuGE Navigator Gene-Phenotype Associations dataset. | |
| InterPro Predicted Protein Domain Annotations | protein domains predicted for SEC16B protein from the InterPro Predicted Protein Domain Annotations dataset. | |
| JASPAR Predicted Human Transcription Factor Targets 2025 | transcription factors regulating expression of SEC16B 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 SEC16B gene predicted using known transcription factor binding site motifs from the JASPAR Predicted Mouse Transcription Factor Targets 2025 dataset. | |
| JASPAR Predicted Transcription Factor Targets | transcription factors regulating expression of SEC16B gene predicted using known transcription factor binding site motifs from the JASPAR Predicted Transcription Factor Targets dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles | cell lines with high or low copy number of SEC16B gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene Expression Profiles | cell lines with high or low expression of SEC16B gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene Expression Profiles dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene Mutation Profiles | cell lines with SEC16B gene mutations from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene Mutation Profiles dataset. | |
| KnockTF Gene Expression Profiles with Transcription Factor Perturbations | transcription factor perturbations changing expression of SEC16B gene from the KnockTF Gene Expression Profiles with Transcription Factor Perturbations dataset. | |
| LOCATE Predicted Protein Localization Annotations | cellular components predicted to contain SEC16B protein from the LOCATE Predicted Protein Localization Annotations dataset. | |
| MGI Mouse Phenotype Associations 2023 | phenotypes of transgenic mice caused by SEC16B gene mutations from the MGI Mouse Phenotype Associations 2023 dataset. | |
| MiRTarBase microRNA Targets | microRNAs targeting SEC16B gene in low- or high-throughput microRNA targeting studies from the MiRTarBase microRNA Targets dataset. | |
| MotifMap Predicted Transcription Factor Targets | transcription factors regulating expression of SEC16B gene predicted using known transcription factor binding site motifs from the MotifMap Predicted Transcription Factor Targets dataset. | |
| MPO Gene-Phenotype Associations | phenotypes of transgenic mice caused by SEC16B gene mutations from the MPO Gene-Phenotype Associations dataset. | |
| Pathway Commons Protein-Protein Interactions | interacting proteins for SEC16B from the Pathway Commons Protein-Protein Interactions dataset. | |
| PerturbAtlas Signatures of Differentially Expressed Genes for Mouse Gene Perturbations | gene perturbations changing expression of SEC16B gene from the PerturbAtlas Signatures of Differentially Expressed Genes for Gene Perturbations dataset. | |
| PFOCR Pathway Figure Associations 2023 | pathways involving SEC16B protein from the PFOCR Pathway Figure Associations 2023 dataset. | |
| PFOCR Pathway Figure Associations 2024 | pathways involving SEC16B protein from the Wikipathways PFOCR 2024 dataset. | |
| Reactome Pathways 2024 | pathways involving SEC16B protein from the Reactome Pathways 2024 dataset. | |
| Roadmap Epigenomics Cell and Tissue DNA Methylation Profiles | cell types and tissues with high or low DNA methylation of SEC16B gene relative to other cell types and tissues from the Roadmap Epigenomics Cell and Tissue DNA Methylation Profiles dataset. | |
| Roadmap Epigenomics Histone Modification Site Profiles | histone modification site profiles with high histone modification abundance at SEC16B gene from the Roadmap Epigenomics Histone Modification Site Profiles dataset. | |
| Rummagene Transcription Factor Associations 2026 | transcription factors regulating expression of SEC16B gene from the Rummagene Transcription Factor Associations 2026 dataset. | |
| RummaGEO Drug Perturbation Signatures | drug perturbations changing expression of SEC16B gene from the RummaGEO Drug Perturbation Signatures dataset. | |
| RummaGEO Gene Perturbation Signatures | gene perturbations changing expression of SEC16B gene from the RummaGEO Gene Perturbation Signatures dataset. | |
| TargetScan Predicted Conserved microRNA Targets | microRNAs regulating expression of SEC16B gene predicted using conserved miRNA seed sequences from the TargetScan Predicted Conserved microRNA Targets dataset. | |
| TargetScan Predicted Nonconserved microRNA Targets | microRNAs regulating expression of SEC16B gene predicted using nonconserved miRNA seed sequences from the TargetScan Predicted Nonconserved microRNA Targets dataset. | |
| TCGA Signatures of Differentially Expressed Genes for Tumors | tissue samples with high or low expression of SEC16B gene relative to other tissue samples from the TCGA Signatures of Differentially Expressed Genes for Tumors dataset. | |
| TISSUES Curated Tissue Protein Expression Evidence Scores | tissues with high expression of SEC16B protein from the TISSUES Curated Tissue Protein Expression Evidence Scores dataset. | |
| TISSUES Curated Tissue Protein Expression Evidence Scores 2025 | tissues with high expression of SEC16B protein from the TISSUES Curated Tissue Protein Expression Evidence Scores 2025 dataset. | |
| TISSUES Experimental Tissue Protein Expression Evidence Scores | tissues with high expression of SEC16B protein in proteomics datasets from the TISSUES Experimental Tissue Protein Expression Evidence Scores dataset. | |
| TISSUES Text-mining Tissue Protein Expression Evidence Scores | tissues co-occuring with SEC16B protein in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores dataset. | |
| TISSUES Text-mining Tissue Protein Expression Evidence Scores 2025 | tissues co-occuring with SEC16B protein in abstracts of biomedical publications from the TISSUES Text-mining Tissue Protein Expression Evidence Scores 2025 dataset. | |
| WikiPathways Pathways 2024 | pathways involving SEC16B protein from the WikiPathways Pathways 2024 dataset. | |
