1) Mkpebi sub-cellular: Mpaghara njide ọ bụla nwere> 2 nde spatial Barcoded Spots nwere dayameta nke 2.5 µm na oghere nke 5 µm n'etiti ebe ntụpọ, na-enyere nyocha transcriptome ohere na mkpebi sub-cellular (5 μm).
2) Ntụle mkpebi mkpebi dị iche iche: nyocha ọkwa ọkwa dị iche iche na-agbanwe agbanwe sitere na 100 μm ruo 5 μm iji dozie atụmatụ anụ ahụ dị iche iche na mkpebi kacha mma.
3) Profaịlụ transcriptome zuru oke: Enwere ike nyochaa transcript nke ewepụtara na slide anụ ahụ niile, na-enweghị mmachi na ọnụọgụ mkpụrụ ndụ ihe nketa na mpaghara ebumnuche.
Ụlọ akwụkwọ | Usoro usoro | Akwadoro mpụta data |
Ọbá akwụkwọ cDNA S1000 | BMKMANU S1000-Ilumina PE150 | 60Gb/nlekọta |
Ihe atụ | Nọmba | Nha | Ogo RNA |
OCT agbakwunyere ngọngọ anụ ahụ | 2-3 ngọngọ / sample | Ihe ruru.6.8x6.8x6.8 mm3 | RIN≥7 |
Maka nkọwa ndị ọzọ na ntụzịaka nkwadebe nlele na usoro ọrụ ọrụ, biko nweere onwe gị ịgwa aỌkachamara BMKGENE
A na-enyocha data BMKMANU S1000 mepụtara site na iji sọftụwia "BSTMatrix", nke BMKGENE mere onwe ya, gụnyere:
1) Gene expression matrix generation
2) Ọ nhazi ihe onyonyo
3) Dakọtara na mgbada software nke atọ maka nyocha
4) Online "BSTViewer" na-enyere aka nweta nsonaazụ nhụta na mkpebi dị iche iche.
1.Spot ụyọkọ
2.Spatial nkesa
Note: Mkpebiọkwa=13 (100 µm, aka ekpe); 7 (50 µm, aka nri)
3.Marker okwu nke ukwuu clustering heatmap
4.Inter-sample data nyocha