BMKCloud Log in
条形 banner-03

Lihlahisoa

Tatelano e felletseng ea transcriptome - Illumina

Tatelano e felletseng ea li-transcriptome e fana ka mokhoa o felletseng oa ho hlahisa limolek'hule tse fapaneng tsa RNA, tse kenyelletsang li-coding (mRNA) le li-RNA tse sa khoutang (lncRNA, circRNA, le miRNA).Mokhoa ona o nka transcriptome e felletseng ea lisele tse itseng ka nako e itseng, e lumellang kutloisiso e felletseng ea lits'ebetso tsa cellular.E boetse e tsejoa e le "total RNA sequencing," e ikemiselitse ho senola marang-rang a rarahaneng a taolo boemong ba transcriptome, ho nolofalletsa tlhahlobo e tebileng joalo ka tlholisano ea endogenous RNA (ceRNA) le tlhahlobo e kopaneng ea RNA.Sena se tšoaea mohato oa pele o lebisang ho sebopeho se sebetsang, haholo-holo ho manolleng marang-rang a taolo a kenyelletsang litšebelisano tsa ceRNA tse thehiloeng ho circRNA-miRNA-mRNA.


Lintlha tsa Tšebeletso

Bioinformatics

Demo Results

Likhatiso Tse Tsoang

Likaroloana

● Laeborari e 'meli ho tatellano ea transcriptome e felletseng: rRNA depletion e lateloa ke tokiso ea laeborari ea PE150 le khetho ea boholo e lateloang ke boitokiso ba laeborari ea SE50.

● Tlatsa tlhahlobo ea bioinformatics ea mRNA, lncRNA, circRNA le miRNA litlalehong tse fapaneng tsa bioinformatics.

● Tlhahlobo e kopaneng ea polelo eohle ea RNA tlalehong e kopaneng, ho kenyeletsoa tlhahlobo ea marang-rang a ceRNA.

Melemo ea Tšebeletso

Tlhahlobo e tebileng ea marang-rang a taolo: Tlhahlobo ea marang-rang ea ceRNA e nolofalloa ke tatellano e kopaneng ea mRNA, lncRNA, circRNA le miRNA le ke ts'ebetso e felletseng ea bioinformatic workflow.

Tlhaloso e Felletseng: re sebelisa li-database tse ngata ho hlakisa liphatsa tsa lefutso tsa Differentially Expressed Genes (DEGs) le ho etsa tlhahlobo e tsamaellanang ea ntlafatso, ho fana ka leseli mabapi le lits'ebetso tsa cellular le limolek'hule tse ipapisitseng le karabo ea transcriptome.

Tsebo e Pharalletseng: ka rekoto ea katleho ea ho koala ka katleho merero e fetang 2000 ea transcriptome libakeng tse fapaneng tsa lipatlisiso, sehlopha sa rona se tlisa boiphihlelo bo bongata morerong o mong le o mong.

Taolo ea Boleng e Tiileng: re kenya tšebetsong lintlha tsa mantlha tsa taolo methating eohle, ho tloha ho lisampole le boitokiso ba laeborari ho isa ho tatellano le bioinformatics.Tlhokomelo ena e hlokolosi e tiisa hore ho fanoa ka liphetho tsa boleng bo holimo kamehla.

● Tlhaloso e Pharalletseng: re sebelisa li-database tse ngata ho hlakisa liphatsa tsa lefutso tsa Differentially Expressed Genes (DEGs) le ho etsa tlhahlobo e tsamaellanang ea ntlafatso, ho fana ka leseli mabapi le lits'ebetso tsa cellular le limolek'hule tse ipapisitseng le karabo ea transcriptome.

Tšehetso ea Post-Sales: Boitlamo ba rona bo fetela ka nģ'ane ho ho phethoa ha morero ka nako ea tšebeletso ea likhoeli tse 3 ka mor'a thekiso.Nakong ena, re fana ka tatellano ea projeke, thuso ea ho rarolla mathata, le linako tsa Q&A ho araba lipotso life kapa life tse amanang le sephetho.

Litlhoko tsa Mohlala le Phano

Laebrari

Leano la tatellano

Lintlha li khothalelitsoe

Taolo ea Boleng

rRNA e felile

Illumina PE150

16 GB

Q30≥85%

Boholo bo khethiloeng

Illumina SE50

10-20M e baloa

 

Litlhoko tsa Mohlala:

Li-nucleotides:

Conc.(ng/μl)

Chelete (μg)

Bohloeki

Botšepehi

≥ 100

≥1

OD260/280=1.7-2.5

OD260/230=0.5-2.5

Tšoaetso e fokolang kapa ha e na protheine kapa DNA e bontšitsoeng ho gel.

Limela: RIN≥6.5

Phoofolo: RIN≥7.0

5.0≥28S/18S≥1.0;

bophahamo bo fokolang kapa bo se nang motheo

Tlhahiso ea Mehlala e khothalelitsoeng

Setshelo:
2 ml ea centrifuge tube (ha e khothalletsoe ho etsa foil)
Mohlala oa ho ngola: Sehlopha+katiso mohlala A1, A2, A3;B1, B2, B3....

Thomello:
1.Dry-ice: lisampole li hloka ho kenngoa ka mekotleng ebe li patoa ka leqhoa le omileng.
2.RNAstable tubes: RNA sampuli e ka omisoa ka RNA stabilization tube (mohlala, RNAstable®) le ho romelloa ka mocheso oa kamore.

Phallo ea Mosebetsi oa Ts'ebeletso

Mohlala oa QC

Moqapi oa liteko

tlhahiso ea mohlala

Mohlala oa thomello

Teko ea sefofane

Tlhahiso ea RNA

Tokiso ea Laebrari

Kaho ea laebrari

Tatelano

Tatelano

Tlhahlobo ea lintlha

Tlhahlobo ea lintlha

Ka mor'a ho rekisa Litšebeletso

Litšebeletso tsa ka mor'a thekiso


  • E fetileng:
  • E 'ngoe:

  • Bioinformatics

    wps_doc_16

    Kakaretso ea polelo ea RNA

     Setšoantšo sa 41

    Liphatsa tsa lefutso tse hlahisitsoeng ka mokhoa o fapaneng

    Setšoantšo sa 42

     

     

    tlhahlobo ea ceRNA

     Setšoantšo sa 43Li-miRNA tse hlahisitsoeng ka tsela e fapaneng le li-RNA tse amanang

    图片44 

     Lekola tsoelopele ea lipatlisiso e tsamaisoang ke litšebeletso tsa tatellano ea litaba tsa BMKGene ka pokello e hlophisitsoeng ea lingoliloeng.

     

    Dai, Y. et al.(2022) 'Litlaleho tse akaretsang tsa polelo ea mRNAs, lncRNAs le miRNAs ka lefu la Kashin-Beck le khetholloang ke RNA-sequencing', Molecular Omics, 18 (2), maq. 154-166.doi: 10.1039/D1MO00370D.

    Liu, N. nan et al.(2022) 'Full length transcriptomes analysis of cold-resistance of Apis cerana in Changbai Mountain during overwintering period.', Gene, 830, pp. 146503–146503.doi: 10.1016/J.GENE.2022.146503.

    Wang, XJ le ba bang.(2022) 'Multi-Omics Integration-Based Prioritization of Competing Endogenous RNA Regulation Networks in Small Cell Lung Cancer: Litšobotsi tsa Limolek'hule le Bakhethoa ba Lithethefatsi', Frontiers in Oncology, 12, leq.904865. doi: 10.3389/FONC.2022.904865/BIBTEX.

    Xu, P. et al.(2022) 'Tlhahlobo e kopaneng ea lncRNA/circRNA-miRNA-mRNA expression profiles e senola lintlha tse ncha mabapi le mekhoa e ka bang teng ho arabela ho li-nematode tsa lefito la peanut', BMC Genomics, 23 (1), maq. 1-12.doi: 10.1186/S12864-022-08470-3/FIGURES/7.

    Yan, Z. et al.(2022) 'Tlhaloso e feletseng ea RNA e totobatsa mekhoa ea limolek'hule e amanang le tlhokomelo ea boleng ba postharvest ka broccoli ka mahlaseli a khubelu a LED', Postharvest Biology and Technology, 188, leq.111878. doi: 10.1016/J.POSTHARVBIO.2022.111878.

    fumana qotso

    Ngola molaetsa wa hao mona mme o re romele wona

    Re romelle molaetsa oa hau: