1) Qeto ea li-sub-cellular: Sebaka se seng le se seng se nkiloeng se na le > Li-Barcoded Spots tse limilione tse 2 tse bophara ba 2.5 µm le sebaka sa 5 µm lipakeng tsa litsi tsa matheba, se nolofalletsang tlhahlobo ea transcriptome ea sebaka ka qeto ea sub-cellular (5 µm).
2) Tlhahlobo ea tharollo ea maemo a mangata: Tlhahlobo e feto-fetohang ea maemo a mangata ho tloha ho 100 μm ho ea ho 5 μm ho rarolla likarolo tse fapaneng tsa lisele ka tharollo e nepahetseng.
3) Phatlalatso e felletseng ea li-transcriptome: Lingoloa tse hapiloeng ho slide eohle ea lithane li ka hlahlojoa, ntle le thibelo ea palo ea liphatsa tsa lefutso le sebaka se shebiloeng.
Laebrari | Leano la tatellano | Data Output e khothalelitsoe |
S1000 cDNA library | BMKMANU S1000-Illumina PE150 | 60Gb / mohlala |
Mohlala | Nomoro | Boholo | RNA Boleng |
OCT e kentsoeng ka lithane tse thibelang | 2-3 liboloko/ sampole | Hoo e ka bang.6.8x6.8x6.8 limilimithara3 | RIN≥7 |
Bakeng sa lintlha tse ling mabapi le tataiso ea boitokisetso ea mohlala le ts'ebetso ea ts'ebeletso, ka kopo ikutloe u lokolohile ho bua le aBMKGENE setsebi
Lintlha tse hlahisitsoeng ke BMKMANU S1000 li hlahlojoa ho sebelisoa software "BSTMatrix", e entsoeng ka boikemelo ke BMKGENE, ho kenyelletsa:
1) Ho hlahisa liphatsa tsa lefutso tsa matrix
2) Ho sebetsana le litšoantšo tsa HE
3) E lumellana le software ea motho oa boraro bakeng sa tlhahlobo
4) Online "BSTViewer" e thusa ho fumana liphetho tsa pono ka liqeto tse fapaneng.
1.Spot clustering
2.Kabo ea sebaka
Note: Qetoboemo=13 (100 µm, le letšehali); 7 (50 µm, ka ho le letona)
3.Marker expression abundance clustering heatmap
4.Inter-sample data analysis