ArticleBrazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica2014
Bioinformatics analysis of biomarkers and transcriptional factor motifs in Down syndrome.
Article in Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 34 citations in OpenAlex.
- TDF and TAF inhibit liver cancer cell migration, invasion via p7TP3.Scientific reports · 2024Article
- Transcriptomic analysis of stem cells from chorionic villi uncovers the impact of chromosomes 2, 6 and 22 in the clinical manifestations of Down syndrome.Stem cell research & therapy · 2023Article
- Shaking up the silence: consequences of HMGN1 antagonizing PRC2 in the Down syndrome brain.Epigenetics & chromatin · 2022Review
- TTC3-Mediated Protein Quality Control, A Potential Mechanism for Cognitive Impairment.Cellular and molecular neurobiology · 2022Review
- Integrated Quantitative Neuro-Transcriptome Analysis of Several Brain Areas in Human Trisomy 21.Genes · 2022Article
- Asynchronous excitatory neuron development in an isogenic cortical spheroid model of Down syndrome.Frontiers in neuroscience · 2022Article
- Role of 3-Mercaptopyruvate Sulfurtransferase in the Regulation of Proliferation and Cellular Bioenergetics in Human Down Syndrome Fibroblasts.Biomolecules · 2020Article
- P7TP3 inhibits tumor development, migration, invasion and adhesion of liver cancer through the Wnt/β-catenin signaling pathway.Cancer science · 2020Article
- Biological Functions of HMGN Chromosomal Proteins.International journal of molecular sciences · 2020Review
- Embryonic atrazine exposure elicits proteomic, behavioral, and brain abnormalities with developmental time specific gene expression signatures.Journal of proteomics · 2018Article
- Integrated Quantitative Transcriptome Maps of Human Trisomy 21 Tissues and Cells.Frontiers in genetics · 2018Article
- Intersectin-1s deficiency in pulmonary pathogenesis.Respiratory research · 2017Review
- Topology based identification and comprehensive classification of four-transmembrane helix containing proteins (4TMs) in the human genome.BMC genomics · 2016Article
- Modular transcriptional repertoire and MicroRNA target analyses characterize genomic dysregulation in the thymus of Down syndrome infants.Oncotarget · 2016Article
- Bioinformatics-based identification of potential microRNA biomarkers in frequent and non-frequent exacerbators of COPD.International journal of chronic obstructive pulmonary diseaseArticle
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, biomarkers and transcriptional factor motifs were identified in order to investigate the etiology and phenotypic severity of Down syndrome. GSE 1281, GSE 1611, and GSE 5390 were downloaded from the gene expression ominibus (GEO). A robust multiarray analysis (RMA) algorithm was applied to detect differentially expressed genes (DEGs). In order to screen for biological pathways and to interrogate the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database, the database for annotation, visualization, and integrated discovery (DAVID) was used to carry out a gene ontology (GO) function enrichment for DEGs. Finally, a transcriptional regulatory network was constructed, and a hypergeometric distribution test was applied to select for significantly enriched transcriptional factor motifs. CBR1, DYRK1A, HMGN1, ITSN1, RCAN1, SON, TMEM50B, and TTC3 were each up-regulated two-fold in Down syndrome samples compared to normal samples; of these, SON and TTC3 were newly reported. CBR1, DYRK1A, HMGN1, ITSN1, RCAN1, SON, TMEM50B, and TTC3 were located on human chromosome 21 (mouse chromosome 16). The DEGs were significantly enriched in macromolecular complex subunit organization and focal adhesion pathways. Eleven significantly enriched transcription factor motifs (PAX5, EGR1, XBP1, SREBP1, OLF1, MZF1, NFY, NFKAPPAB, MYCMAX, NFE2, and RP58) were identified. The DEGs and transcription factor motifs identified in our study provide biomarkers for the understanding of Down syndrome pathogenesis and progression.
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