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ọkọlọtọ-03

Ngwaahịa

10x Genomics Visium Spatial Transcriptome

transcriptomics spatial bụ nkà na ụzụ na-emepe emepe nke na-enye ndị nchọpụta ohere inyocha usoro okwu mkpụrụ ndụ ihe nketa n'ime anụ ahụ ma na-echekwa ọnọdụ ha.Otu ikpo okwu siri ike na ngalaba a bụ 10x Genomics Visium yana usoro Illumina.Ụkpụrụ nke 10X Visium dabere na mgbawa pụrụ iche nwere mpaghara ejidere ahaziri ebe etinye akụkụ anụ ahụ.Mpaghara njide a nwere ntụpọ akara, nke ọ bụla dabara na ọnọdụ oghere pụrụ iche n'ime anụ ahụ.A na-edezi ụmụ irighiri ihe RNA ndị ahụ e weghaara si n'anụ ahụ nwere ihe nchọpụta mkpụrụ ndụ pụrụ iche (UMIs) n'oge usoro ntụgharị ntụgharị.Ebe akara koodu na UMI ndị a na-eme ka eserese oghere na ọnụọgụ mkpụrụ ndụ ihe nketa na mkpebi otu cell.Nchikota nke ihe nlele oghere na UMI na-eme ka o doo anya na izi ezi na nkọwapụta nke data ewepụtara.Site n'iji teknụzụ Spatial Transcriptomics a, ndị nchọpụta nwere ike nweta nghọta miri emi banyere nhazi oghere nke mkpụrụ ndụ yana mmekọrịta dị mgbagwoju anya na-eme n'ime anụ ahụ, na-enye nghọta bara uru n'ime usoro ndị na-ebute usoro ndu n'ọtụtụ mpaghara, gụnyere oncology, neuroscience, bayoloji mmepe, immunology. , na ọmụmụ ihe gbasara ahịhịa.

Platform: 10X Genomics Visium na Illumina NovaSeq


  • Ọnụ ego FOB:US $ 0.5 - 9,999 / akụkụ
  • Ọnụ ọgụgụ nke Min.100 Iberibe/Iberibe
  • Ikike inye:10000 Iberibe/Iberibe kwa ọnwa
  • Nkọwa ọrụ

    Bioinformatics

    Nsonaazụ ngosi

    Akwụkwọ ndị egosipụtara

    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 ọkachamara nwere nkà: nwere ahụmahụ n'ihe karịrị ụdị anụ ahụ 250 na ụdị 100+ gụnyere mmadụ, òké, mammamal, azụ na osisi.

    Mmelite ozugbo na ọrụ ahụ dum: na njikwa zuru oke nke ọganihu nnwale.

    Ọkọlọtọ bioinformatics zuru oke:ngwugwu gụnyere nyocha 29 na ọnụ ọgụgụ 100+ dị elu.

    Nyocha na nleba anya data ahaziri: dị maka arịrịọ nyocha dị iche iche.

    Nyocha nkwonkwo nhọrọ yana usoro mRNA otu-cell

    Nkọwapụta

    Ihe atụ chọrọ

    Ụlọ akwụkwọ

    Usoro usoro

    akwadoro data

    Njikwa ogo

    Ihe nlere cryo agbakwunyere OCT, ihe nlele FFPE

    ( Dayameta kacha mma: ihe dịka 6x6x6 mm3)

    3 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 a

    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 nkwalite 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.

    图片4

  • Nke gara aga:
  • Osote:

  • 10x (9)

     

    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

     Nleba anya n'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

    10x (10)

     

    Nchọpụta mkpụrụ ndụ ihe nrịbama na nkesa oghere

     

    10x (12)

    10x (11)

     

    Nyocha n'etiti otu

    Ngwakọta data sitere na otu abụọ yana ụyọkọ ọzọ

    10x (13)

     

     

    Mkpụrụ ndụ ihe nrịbama nke ụyọkọ ọhụrụ

    图片5

    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 mkpụrụ ndụ oncogenic n'ime ijiji', Usoro nke National Academy of Sciences of the United States of America, 120(30), p.e2303462120.doi: /10.1073/pnas.2303462120

    Chen, Y. et al.(2023) 'STEEL na-eme ka mkpebi dị elu dị elu nke data transcriptomic spatiotemporal', Briefings in Bioinformatics, 24(2), p. 1-10.doi: 10.1093/BIB/BBAD068.

    Liu, C. et al.(2022) 'A spatiotemporal atlas of organogenesis na mmepe nke ifuru orchid', Nucleic Acids Research, 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', International Journal of Biological Sciences, 19(8), p. 2515-2530.doi: 10.7150/IJBS.83510.

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