FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3136149819> ?p ?o ?g. }

• W3136149819 abstract "Periodontitis is a chronic immuno-inflammatory disease characterized by inflammatory destruction of tooth-supporting tissues. Its pathogenesis involves a dysregulated local host immune response that is ineffective in combating microbial challenges. An integrated investigation of genes involved in mediating immune response suppression in periodontitis, based on multiple studies, can reveal genes pivotal to periodontitis pathogenesis. Here, we aimed to apply a deep learning (DL)-based autoencoder (AE) for predicting immunosuppression genes involved in periodontitis by integrating multiples omics datasets.Two periodontitis-related GEO transcriptomic datasets (GSE16134 and GSE10334) and immunosuppression genes identified from DisGeNET and HisgAtlas were included. Immunosuppression genes related to periodontitis in GSE16134 were used as input to build an AE, to identify the top disease-representative immunosuppression gene features. Using K-means clustering and ANOVA, immune subtype labels were assigned to disease samples and a support vector machine (SVM) classifier was constructed. This classifier was applied to a validation set (Immunosuppression genes related to periodontitis in GSE10334) for predicting sample labels, evaluating the accuracy of the AE. In addition, differentially expressed genes (DEGs), signaling pathways, and transcription factors (TFs) involved in immunosuppression and periodontitis were determined with an array of bioinformatics analysis. Shared DEGs common to DEGs differentiating periodontitis from controls and those differentiating the immune subtypes were considered as the key immunosuppression genes in periodontitis.We produced representative molecular features and identified two immune subtypes in periodontitis using an AE. Two subtypes were also predicted in the validation set with the SVM classifier. Three master immunosuppression genes, PECAM1, FCGR3A, and FOS were identified as candidates pivotal to immunosuppressive mechanisms in periodontitis. Six transcription factors, NFKB1, FOS, JUN, HIF1A, STAT5B, and STAT4, were identified as central to the TFs-DEGs interaction network. The two immune subtypes were distinct in terms of their regulating pathways.This study applied a DL-based AE for the first time to identify immune subtypes of periodontitis and pivotal immunosuppression genes that discriminated periodontitis from the healthy. Key signaling pathways and TF-target DEGs that putatively mediate immune suppression in periodontitis were identified. PECAM1, FCGR3A, and FOS emerged as high-value biomarkers and candidate therapeutic targets for periodontitis." @default.
• W3136149819 created "2021-03-29" @default.
• W3136149819 creator A5003642180 @default.
• W3136149819 creator A5009590736 @default.
• W3136149819 creator A5013323555 @default.
• W3136149819 creator A5021643176 @default.
• W3136149819 creator A5025754112 @default.
• W3136149819 creator A5032531713 @default.
• W3136149819 creator A5034276925 @default.
• W3136149819 creator A5039876889 @default.
• W3136149819 creator A5039969636 @default.
• W3136149819 creator A5055921675 @default.
• W3136149819 creator A5066050451 @default.
• W3136149819 creator A5072395982 @default.
• W3136149819 creator A5073968250 @default.
• W3136149819 creator A5080061294 @default.
• W3136149819 creator A5081122871 @default.
• W3136149819 creator A5084792616 @default.
• W3136149819 date "2021-03-12" @default.
• W3136149819 modified "2023-10-17" @default.
• W3136149819 title "Deep Learning Reveals Key Immunosuppression Genes and Distinct Immunotypes in Periodontitis" @default.
• W3136149819 cites W1527896367 @default.
• W3136149819 cites W1593195558 @default.
• W3136149819 cites W1762827693 @default.
• W3136149819 cites W1921605540 @default.
• W3136149819 cites W1980276147 @default.
• W3136149819 cites W1987971958 @default.
• W3136149819 cites W1988092678 @default.
• W3136149819 cites W1991114578 @default.
• W3136149819 cites W1999218213 @default.
• W3136149819 cites W1999601659 @default.
• W3136149819 cites W2003324119 @default.
• W3136149819 cites W2006617902 @default.
• W3136149819 cites W2022163189 @default.
• W3136149819 cites W2026357837 @default.
• W3136149819 cites W2029511040 @default.
• W3136149819 cites W2035618305 @default.
• W3136149819 cites W2043907573 @default.
• W3136149819 cites W2049295438 @default.
• W3136149819 cites W2049760701 @default.
• W3136149819 cites W2055739713 @default.
• W3136149819 cites W2064711537 @default.
• W3136149819 cites W2085487226 @default.
• W3136149819 cites W2087783394 @default.
• W3136149819 cites W2099328612 @default.
• W3136149819 cites W2109262071 @default.
• W3136149819 cites W2118504962 @default.
• W3136149819 cites W2129816344 @default.
• W3136149819 cites W2130120328 @default.
• W3136149819 cites W2130325614 @default.
• W3136149819 cites W2146512944 @default.
• W3136149819 cites W2154757074 @default.
• W3136149819 cites W2154987308 @default.
• W3136149819 cites W2159675211 @default.
• W3136149819 cites W2160297100 @default.
• W3136149819 cites W2167874617 @default.
• W3136149819 cites W2177066871 @default.
• W3136149819 cites W2182701331 @default.
• W3136149819 cites W2316481915 @default.
• W3136149819 cites W2337778730 @default.
• W3136149819 cites W2405381679 @default.
• W3136149819 cites W2578450947 @default.
• W3136149819 cites W2585799090 @default.
• W3136149819 cites W2760344498 @default.
• W3136149819 cites W2763033597 @default.
• W3136149819 cites W2766946295 @default.
• W3136149819 cites W2791638419 @default.
• W3136149819 cites W2795665486 @default.
• W3136149819 cites W2883209651 @default.
• W3136149819 cites W2894918805 @default.
• W3136149819 cites W2895084243 @default.
• W3136149819 cites W2915492064 @default.
• W3136149819 cites W2946776836 @default.
• W3136149819 cites W2951209146 @default.
• W3136149819 cites W2982219485 @default.
• W3136149819 cites W3012605743 @default.
• W3136149819 cites W3026287688 @default.
• W3136149819 cites W3034766473 @default.
• W3136149819 cites W3043145023 @default.
• W3136149819 cites W3047131132 @default.
• W3136149819 cites W3047406790 @default.
• W3136149819 cites W3093748423 @default.
• W3136149819 cites W4254214228 @default.
• W3136149819 doi "https://doi.org/10.3389/fgene.2021.648329" @default.
• W3136149819 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7994531" @default.
• W3136149819 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33777111" @default.
• W3136149819 hasPublicationYear "2021" @default.
• W3136149819 type Work @default.
• W3136149819 sameAs 3136149819 @default.
• W3136149819 citedByCount "10" @default.
• W3136149819 countsByYear W31361498192021 @default.
• W3136149819 countsByYear W31361498192022 @default.
• W3136149819 countsByYear W31361498192023 @default.
• W3136149819 crossrefType "journal-article" @default.
• W3136149819 hasAuthorship W3136149819A5003642180 @default.
• W3136149819 hasAuthorship W3136149819A5009590736 @default.
• W3136149819 hasAuthorship W3136149819A5013323555 @default.
• W3136149819 hasAuthorship W3136149819A5021643176 @default.
• W3136149819 hasAuthorship W3136149819A5025754112 @default.
• W3136149819 hasAuthorship W3136149819A5032531713 @default.

• next