Ka lebaka la lirapa tsena tse buang ka Multiomics, multiomics ea sele e le 'ngoe ke eng?
Context:Multiomics, multi-omics, integrative omics, "panomics" kapa "pan-omics" ke mokhoa oa tlhahlobo ea likokoana-hloko moo lintlha tsa data e leng "omes" tse ngata, tse kang genome, proteome, transcriptome, epigenome, metabolome, le microbiome (ke hore, meta-genome le / kapa meta-transcriptome, ho itšetlehile ka hore na e latellana joang); ka mantsoe a mang, tšebeliso ea theknoloji e mengata ea omics ho ithuta bophelo ka tsela e lumellanang. Ka ho kopanya "li-ome" tsena, bo-rasaense ba ka hlahloba boitsebiso bo rarahaneng ba likokoana-hloko e le hore ba fumane likamano tse ncha pakeng tsa lintho tsa tlhaho, ba khetholle li-biomarker tse loketseng le ho haha li-marker tse rarahaneng tsa mafu le tsa'mele. Ka ho etsa joalo, multiomics e kopanya boitsebiso bo sa tšoaneng ba omics ho fumana kamano e lumellanang ea genofeno-envirotype kapa mokhatlo. Tšebeletso ea OmicTools e thathamisa mananeo a fetang 99 a amanang le tlhahlobo ea data ea multiomic, hammoho le li-database tse fetang 99 tse buang ka taba ena.  Mekhoa ea baeloji ea litsamaiso hangata e thehiloe ho sebeliseng boitsebiso ba tlhahlobo e akaretsang. American Society of Clinical Oncology (ASCO) e hlalosa panomics e le "tšebelisano ea mesebetsi eohle ea likokoana-hloko ka har'a sele le mesebetsi e meng ea'mele, e kopanyang boitsebiso bo bokelitsoeng ka liteko tse reretsoeng... le liteko tsa lefatše (tse kang ho hlophisa genome) le boitsebiso bo bong bo tobileng ba mokuli".  Multiomics ea sele e le 'ngoe Lekala la tšimo ea multiomics ke tlhahlobo ea boitsebiso ba lisele tse le 'ngoe tse ngata, e bitsoang multiomics ea sele e le 'ngoe. Mokhoa ona o re fa tharollo e e-s'o ka e e-ba teng ea ho sheba liphetoho tse ngata tsa bophelo bo botle le maloetse ka seleng e le 'ngoe. Molemo o amanang le tlhahlobo ea bongata ke ho fokotsa lintho tse ferekanyang tse tsoang ho seleng ho ea ho mefuta e fapaneng ea lisele, e lumellang ho sibolloa ha meralo ea lisele tse fapaneng.  Mekhoa ea tlhahlobo e tšoanang ea liphatsa tsa lefutso tsa sele e le 'ngoe le tlhahlobo ea li-transcriptomic e ka theoa ho matlafatseng ka nako e le' ngoe kapa karohano ea'mele ea RNA le DNA ea liphatsa tsa lefutso. Li lumella leseli le ke keng la bokelloa feela ho tsoa tlhahlobisong ea li-transcriptomic, kaha data ea RNA ha e na libaka tsa genome tse sa ngolang le tlhaiso-leseling mabapi le phapang ea palo ea likopi, mohlala. Katoloso ea mokhoa ona ke ho kopanya li-transcriptome tsa sele e le 'ngoe ho li-methylome tsa sele e le' ngoe, ho kopanya ho latellana ha lisele tse le 'ngoe tsa bisulfite ho RNA-Seq. Mekhoa e meng ea ho batla epigenome, joalo ka ATAC-Seq ea sele e le 'ngoe le Hi-C ea sele e le' ngoe le eona e teng.  Phephetso e 'ngoe e fapaneng, empa e amanang le eona, ke ho kopanya boitsebiso ba proteomic le ba transcriptomic. Mokhoa o mong oa ho etsa litekanyo tse joalo ke ho arola lisate tsa sele e le 'ngoe ka bobeli, ho sebetsana le halofo ea RNA, le halofo ea liprotheine. Ka mohlala, liprotheine tse ka har'a lysate li ka lekanngoa ka ho sebelisa li-proximity extension assays (PEA), tse sebelisang li-antibody tse nang le li-barcode tsa DNA. Mokhoa o fapaneng o sebelisa motsoako oa li-probe tsa RNA tsa tšepe e boima le li-antibodies tsa protheine ho fetola mass cytometry bakeng sa tlhahlobo ea li-multiomic.  Multiomics le ho ithuta ka mochine Ka ho tšoanang le tsoelo-pele ea baeloji ea tlhahiso e phahameng, ho ithuta ka mochine ho sebelisoa ha tlhahlobo ea data ea biomedical hoa atleha. Ho kopanngoa ha tlhahlobo ea boitsebiso ba mefuta e mengata le ho ithuta ka mochine ho entse hore ho sibolloe li-biomarker tse ncha. Ka mohlala, e 'ngoe ea mekhoa ea morero oa mixOmics e sebelisa mokhoa o thehiloeng ho ho fokotseha ha likarolo tse fokolang tsa likarolo tse fokolang bakeng sa khetho ea likarolo (li-biomarker tse nahanang).   https://en.wikipedia.org/wiki/Multiomics
Ho hlahlojoa ha boitsebiso ba lisele tse le 'ngoe tse nang le litekanyetso tse ngata. Mokhoa ona o re fa tharollo e e-s'o ka e e-ba teng ea ho sheba liphetoho tse ngata tsa bophelo bo botle le maloetse ka seleng e le 'ngoe.