10x Genomics Visium Spatial Transcriptome
Atụmatụ nka
Atụmatụ
● Mkpebi: 100 µM
● Ogologo ntụpọ: 55 µM
● Ọnụ ọgụgụ nke ntụpọ: 4992
● Mpaghara ndọta: 6.5 x 6.5 mm
● A na-eju ebe ọ bụla akara koodu na primers nwere ngalaba anọ:
- poly(dT) ọdụ maka mRNA priming na cDNA njikọ
- Identifier Molecular pụrụ iche (UMI) iji mezie nhụsianya mmụba
- Barcode oghere
- Njikọ usoro nke akụkụ agụ 1 usoro primer
● H&E ntụpọ nke ngalaba
Uru
●Ọrụ nkwụsịtụ: na-ejikọta ahụmịhe niile na usoro dabere na nka, gụnyere ngalaba cryo, ncha, njikarịcha anụ ahụ, oghere oghere, nkwadebe ọba akwụkwọ, usoro na bioinformatics.
● Ndị otu nka nka mara oke: nwere ahụmahụ n'ihe karịrị ụdị anụ ahụ 250 na ụdị 100+ gụnyere mmadụ, òké, mammamal, azụ na osisi.
●Mmelite ozugbo na oru ngo dum: na njikwa zuru oke nke ọganihu nnwale.
●Ọkọlọtọ Bioinformatics zuru oke:ngwugwu gụnyere nyocha 29 na ọnụọgụ 100+ dị elu.
●Nyochaa data ahaziri iche na nlegharị anya: dị maka arịrịọ nyocha dị iche iche.
●Nyocha njikọta nhọrọ yana usoro mRNA otu cell
Nkọwapụta
| Ihe atụ chọrọ | Ụlọ akwụkwọ | Usoro usoro | akwadoro data | Njikwa ogo |
| Nlereanya cryo gbanyere OCT ( Dayameta kacha mma: ihe dịka 6x6x6 mm³) 2 ngọngọ kwa sample | 10X Visium cDNA ọba akwụkwọ | Ilumina PE150 | 50K PE na-agụ kwa ntụpọ (60Gb) | RIN> 7 |
Maka nkọwa ndị ọzọ na ntụzịaka nkwadebe nlele na usoro ọrụ ọrụ, biko nweere onwe gị ịgwa aỌkachamara BMKGENE
Usoro ọrụ ọrụ
N'oge nkwadebe nlele, a na-eme nnwale mmịpụta RNA mbụ iji hụ na enwere ike nweta RNA dị elu. N'ọkwa kachasị mma nke anụ ahụ, akụkụ ndị ahụ nwere ntụpọ ma na-ahụ anya ma na-emeziwanye ọnọdụ mRNA maka mwepụta anụ ahụ. A na-etinye usoro ahụ kachasị mma n'oge a na-arụ ụlọ ọba akwụkwọ, na-esote usoro na nyocha data.
Usoro ọrụ ọrụ zuru oke na-agụnye mmelite ozugbo yana nkwenye ndị ahịa iji nọgide na-enwe nzaghachi nzaghachi nzaghachi, na-eme ka mmezu ọrụ dị mma.
Ọ gụnyere nyocha ndị a:
Njikwa ogo data:
o Mpụta data na nkesa akara ogo
o Nchọpụta mkpụrụ ndụ ihe nketa kwa ntụpọ
o Mkpuchi anụ ahụ
Nyocha ihe nlere ime:
o Gene ọgaranya
o Nchịkọta ntụpọ, gụnyere nyocha akụkụ dị ntakịrị
o Nyocha okwu dị iche n'etiti ụyọkọ: njirimara nke mkpụrụ ndụ ihe nrịbama
o Nkọwa ọrụ na ime ka mkpụrụ ndụ ihe nketa akara
Nyocha n'etiti otu
o Nchikota nke ntụpọ site na ma sample (eg. ọrịa na njikwa) na re-ụyọkọ
o Nchọpụta mkpụrụ ndụ ihe nrịbama maka ụyọkọ ọ bụla
o Nkọwa ọrụ na ime ka mkpụrụ ndụ ihe nketa akara
o Nkwuwapụta dị iche iche nke otu ụyọkọ n'etiti otu
Nleba anya n'ime
Nchịkọta ntụpọ
Nchọpụta mkpụrụ ndụ ihe nrịbama na nkesa oghere
Nyocha n'etiti otu
Ngwakọta data sitere na otu abụọ yana ụyọkọ ọzọ
Mkpụrụ ndụ ihe nrịbama nke ụyọkọ ọhụrụ
Nyochaa ọganihu ndị ọrụ transcriptomics nke BMKGene na-akwado site na 10X Visium N'ime akwụkwọ ndị a egosipụtara:
Chen, D. et al. (2023) 'mthl1, onye nwere ike Drosophila homologue nke mammalian adhesion GPCRs, na-etinye aka na mmeghachi omume antitumor na sel oncogenic agbaba na ijiji',Usoro nke National Academy of Sciences nke United States of America, 120 (30), p. e2303462120. doi: /10.1073/pnas.2303462120
Chen, Y. et al. (2023) 'STEEL na-enyere aka ịkọwapụta data transcriptomic spatiotemporal dị elu',Nkọwa na Bioinformatics, 24 (2), peeji 1–10. doi: 10.1093/BIB/BBAD068.
Liu, C. et al. (2022) 'Atlas spatiotemporal nke organogenesis na mmepe nke ifuru orchid',Nchọpụta Nucleic Acids, 50 (17), p. 9724–9737. doi: 10.1093/NAR/GKAC773.
Wang, J. et al. (2023) 'Ijikota Spatial Transcriptomics na Single-nucleus RNA Sequencing na-ekpughere Usoro ọgwụgwọ enwere ike maka Uterine Leiomyoma',Akwụkwọ akụkọ International nke sayensị sayensị, 19 (8), p. 2515–2530. doi: 10.7150/IJBS.83510.
