| Name | family with sequence similarity 223, member A (non-protein coding) |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n A review of a diverse set of recent biomedical studies highlights significant advances in many fields, including the optimization of diagnostic thresholds using decision theory"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": ", development of environmentally friendly reaction systems through designer surfactants in water"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": ", and novel statistical approaches to biomarker selection."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "3"}]}, {"type": "t", "text": " Other studies report on cholesterol and bile acid metabolism in various pathological contexts"}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "4", "end_ref": "6"}]}, {"type": "t", "text": ", improvements in diagnostic assays for pneumococcal pneumonia"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "7"}]}, {"type": "t", "text": ", characterization of copy number dynamics in ampliconic genes"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "8"}]}, {"type": "t", "text": ", and even innovative methodologies for indoor positioning"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "9"}]}, {"type": "t", "text": "as well as comparative enzymology."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "10"}]}, {"type": "t", "text": "\n "}]}, {"type": "t", "text": "\n "}, {"type": "p", "children": [{"type": "t", "text": "\n Notably, none of these studies provide data regarding the function of the gene FAM223A. Although the investigations cover a wide spectrum of biomedical topics, from diagnostic statistics and synthetic methodologies to biomarker discovery and metabolic pathway elucidation, the role of FAM223A is not addressed in these reports. Consequently, the molecular function, biological role, and potential clinical relevance of FAM223A remain to be characterized. Future studies are needed to elucidate its expression profile, mechanistic contributions, and any involvement it may have in health or disease.\n "}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Niels Smits "}, {"type": "b", "children": [{"type": "t", "text": "A note on Youden's J and its cost ratio."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "BMC Med Res Methodol (2010)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1186/1471-2288-10-89"}], "href": "https://doi.org/10.1186/1471-2288-10-89"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "20920288"}], "href": "https://pubmed.ncbi.nlm.nih.gov/20920288"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Bruce H Lipshutz, Subir Ghorai "}, {"type": "b", "children": [{"type": "t", "text": "Transitioning organic synthesis from organic solvents to water. What's "}, {"type": "a", "children": [{"type": "t", "text": "i"}], "href": "i"}, {"type": "t", "text": "your"}, {"type": "a", "children": [{"type": "t", "text": "/i"}], "href": "/i"}, {"type": "t", "text": " E Factor?"}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Green Chem (2014)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1039/C4GC00503A"}], "href": "https://doi.org/10.1039/C4GC00503A"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "25170307"}], "href": "https://pubmed.ncbi.nlm.nih.gov/25170307"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Jadwiga R Bienkowska, Gul S Dalgin, Franak Batliwalla, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Convergent Random Forest predictor: methodology for predicting drug response from genome-scale data applied to anti-TNF response."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Genomics (2009)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.ygeno.2009.08.008"}], "href": "https://doi.org/10.1016/j.ygeno.2009.08.008"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "19699293"}], "href": "https://pubmed.ncbi.nlm.nih.gov/19699293"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Yuqin Wang, William J Griffiths "}, {"type": "b", "children": [{"type": "t", "text": "Unravelling new pathways of sterol metabolism: lessons learned from in-born errors and cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Curr Opin Clin Nutr Metab Care (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1097/MCO.0000000000000442"}], "href": "https://doi.org/10.1097/MCO.0000000000000442"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "29227331"}], "href": "https://pubmed.ncbi.nlm.nih.gov/29227331"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Jonas Abdel-Khalik, Peter J Crick, Eylan Yutuc, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Identification of 7α,24-dihydroxy-3-oxocholest-4-en-26-oic and 7α,25-dihydroxy-3-oxocholest-4-en-26-oic acids in human cerebrospinal fluid and plasma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Biochimie (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.biochi.2018.06.020"}], "href": "https://doi.org/10.1016/j.biochi.2018.06.020"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "29960034"}], "href": "https://pubmed.ncbi.nlm.nih.gov/29960034"}]}, {"type": "r", "ref": 6, "children": [{"type": "t", "text": "William J Griffiths, Eylan Yutuc, Jonas Abdel-Khalik, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Metabolism of Non-Enzymatically Derived Oxysterols: Clues from sterol metabolic disorders."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Free Radic Biol Med (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.freeradbiomed.2019.04.020"}], "href": "https://doi.org/10.1016/j.freeradbiomed.2019.04.020"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31009661"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31009661"}]}, {"type": "r", "ref": 7, "children": [{"type": "t", "text": "Satoshi Kakiuchi, Motoi Suzuki, Bhim Gopal Dhoubhadel, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Accuracy of High-Throughput Nanofluidic PCR-Based Pneumococcal Serotyping and Quantification Assays Using Sputum Samples for Diagnosing Vaccine Serotype Pneumococcal Pneumonia: Analyses by Composite Diagnostic Standards and Bayesian Latent Class Models."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Clin Microbiol (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1128/JCM.01874-17"}], "href": "https://doi.org/10.1128/JCM.01874-17"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "29444834"}], "href": "https://pubmed.ncbi.nlm.nih.gov/29444834"}]}, {"type": "r", "ref": 8, "children": [{"type": "t", "text": "Elise A Lucotte, Laurits Skov, Jacob Malte Jensen, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Dynamic Copy Number Evolution of X- and Y-Linked Ampliconic Genes in Human Populations."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Genetics (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1534/genetics.118.300826"}], "href": "https://doi.org/10.1534/genetics.118.300826"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "29769284"}], "href": "https://pubmed.ncbi.nlm.nih.gov/29769284"}]}, {"type": "r", "ref": 9, "children": [{"type": "t", "text": "Wei Yang, Chundi Xiu, Jiarui Ye, et al. "}, {"type": "b", "children": [{"type": "t", "text": "LSS-RM: Using Multi-Mounted Devices to Construct a Lightweight Site-Survey Radio Map for WiFi Positioning."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Micromachines (Basel) (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3390/mi9090458"}], "href": "https://doi.org/10.3390/mi9090458"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "30424391"}], "href": "https://pubmed.ncbi.nlm.nih.gov/30424391"}]}, {"type": "r", "ref": 10, "children": [{"type": "t", "text": "M A de Boer-van den Berg, M M Ulrich, H C Hemker, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Vitamin K-dependent carboxylase: the carboxylation of exogenous substrates in different systems."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Biochim Biophys Acta (1985)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/0167-4838(85)90154-2"}], "href": "https://doi.org/10.1016/0167-4838(85"}, {"type": "t", "text": "90154-2) PMID: "}, {"type": "a", "children": [{"type": "t", "text": "4041466"}], "href": "https://pubmed.ncbi.nlm.nih.gov/4041466"}]}]}]}
|
| Synonyms | NCRNA00204A, SPCX, LINC00204A, NCRNA00204 |
| Proteins | F223A_HUMAN |
| NCBI Gene ID | 100132967 |
| API | |
| Download Associations | |
| Predicted Functions |
![]() |
| Co-expressed Genes |
![]() |
| Expression in Tissues and Cell Lines |
![]() |
FAM223A has 319 functional associations with biological entities spanning 7 categories (molecular profile, organism, disease, phenotype or trait, chemical, functional term, phrase or reference, cell line, cell type or tissue, gene, protein or microRNA) extracted from 13 datasets.
Click the + buttons to view associations for FAM223A from the datasets below.
If available, associations are ranked by standardized value
| Dataset | Summary | |
|---|---|---|
| Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by Microarray | tissue samples with high or low expression of FAM223A gene relative to other tissue samples from the Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by Microarray dataset. | |
| Allen Brain Atlas Prenatal Human Brain Tissue Gene Expression Profiles | tissues with high or low expression of FAM223A gene relative to other tissues from the Allen Brain Atlas Prenatal Human Brain Tissue Gene Expression Profiles dataset. | |
| ENCODE Histone Modification Site Profiles | histone modification site profiles with high histone modification abundance at FAM223A 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 FAM223A gene from the ENCODE Transcription Factor Binding Site Profiles dataset. | |
| ENCODE Transcription Factor Targets | transcription factors binding the promoter of FAM223A gene in ChIP-seq datasets from the ENCODE Transcription Factor Targets dataset. | |
| GEO Signatures of Differentially Expressed Genes for Diseases | disease perturbations changing expression of FAM223A 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 FAM223A gene from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset. | |
| GEO Signatures of Differentially Expressed Genes for Small Molecules | small molecule perturbations changing expression of FAM223A gene from the GEO Signatures of Differentially Expressed Genes for Small Molecules dataset. | |
| GEO Signatures of Differentially Expressed Genes for Viral Infections | virus perturbations changing expression of FAM223A gene from the GEO Signatures of Differentially Expressed Genes for Viral Infections dataset. | |
| JASPAR Predicted Transcription Factor Targets | transcription factors regulating expression of FAM223A 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 FAM223A gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset. | |
| LOCATE Curated Protein Localization Annotations | cellular components containing FAM223A protein in low- or high-throughput protein localization assays from the LOCATE Curated Protein Localization Annotations dataset. | |
| LOCATE Predicted Protein Localization Annotations | cellular components predicted to contain FAM223A protein from the LOCATE Predicted Protein Localization Annotations dataset. | |