Ho aroloa ha li-nuclei ho finyelloa ke 10 × Genomics Chromium TM, e nang le tsamaiso ea microfluidics e nang le mechine e robeli e nang le ho tšela habeli.Tsamaisong ena, lifaha tsa gel tse nang le li-barcode le primer, li-enzyme le nucleus e le 'ngoe li kenngoa ka lerotholi la oli ea nanoliter, e hlahisang Gel Bead-in-Emulsion (GEM).Hang ha GEM e thehoa, lisele tsa lysis le ho lokolloa ha barcode li etsoa ho GEM ka 'ngoe.mRNA e fetisetsoa ka morao ho limolek'hule tsa cDNA tse nang le 10 × barcodes le UMI, tse tlas'a taolo ea kaho e tloaelehileng ea tatellano ea laeborari.
Sele/ Sehlahisoa | Lebaka |
Lithipa tse hatselitsoeng tse sa nchafalang | Ha e khone ho fumana mekhatlo e mecha kapa e bolokiloeng nako e telele |
Lisele tsa mesifa, Megakaryocyte, Mafura ... | Bophahamo ba sele bo boholo haholo ho kena seletsa |
Sebete... | E robeha haholo hore e ka robeha, ha e khone ho khetholla lisele tse le 'ngoe |
Neuron cell, boko… | Ho utloisisa haholoanyane, ho bonolo ho hatella, ho tla fetola liphetho tsa tatellano |
Makhopho, Thyroid ... | E ruile ka li-enzyme tsa endogenous, tse amang tlhahiso ea ho emisoa ha sele e le 'ngoe |
Nucleus e le 'ngoe | Sele e le 'ngoe |
Sekhahla se se nang moeli sa sele | Bophara ba sele: 10-40 μm |
Thepa e ka ba lesela le leqhoa | Boitsebiso bo tlameha ho ba lisele tse ncha |
Khatello e tlase ea lisele tse leqhoa | Kalafo ea enzyme e ka baka khatello ea maikutlo ea lisele |
Ha ho na lisele tse khubelu tsa mali tse lokelang ho tlosoa | Lisele tse khubelu tsa mali li hloka ho tlosoa |
Nuclear e hlahisa bioinformation | Sele eohle e hlahisa litaba tsa bophelo |
Laebrari | Leano la tatellano | Bophahamo ba data | Litlhoko tsa Mohlala | Tishu |
10 × Laeborari ea li-nuclei tse le 'ngoe tsa Genomics | 10x Genomics -Illumina PE150 | 100,000 e baloa/lisele hoo e ka bang.100-200 Gb | Nomoro ea sele: >2×105 Khokahano ea sele.ho 700-1,200 sele / μL | ≥ 200 mg |
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
1.Spot clustering
2.Marker expression abundance clustering heatmap
3.Moetsi oa liphatsa tsa lefutso ka lihlopha tse fapaneng
4.Cell trajectory analysis/pseudotime