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Usoro mRNA na-abụghị nke nrụtụ aka-Ilumina

usoro mRNA na-anabata usoro usoro usoro ọgbọ na-abịa (NGS) iji weghara onye ozi RNA (mRNA) na-etolite Eukaryote n'oge akọwapụtara nke ụfọdụ ọrụ pụrụ iche na-arụ ọrụ.A na-akpọ transcript kachasị ogologo nke spliced ​​'Unigene' ma jiri ya dị ka usoro ntụaka maka nyocha na-esote, nke bụ ụzọ dị irè iji mụọ usoro molekul na netwọk nchịkwa nke ụdị ahụ na-enweghị ntụle.

Mgbe mgbakọ data transcriptome na nkọwa ọrụ unigene gasịrị

(1) A ga-ahazi nyocha SSR, amụma CDS na usoro mkpụrụ ndụ ihe nketa.

(2) A ga-eme ọnụọgụ nke okwu unigene na nlele ọ bụla.

(3) A ga-achọpụta unigenes dị iche iche egosipụtara n'etiti nlele (ma ọ bụ otu) dabere na nkwupụta unigene.

(4) A ga-eme nchịkọta, nkọwa ọrụ na nyocha ịba ụba nke unigenes dị iche iche.


Nkọwa ọrụ

Bioinformatics

Nsonaazụ ngosi

Ọmụmụ ihe

Atụmatụ

● N'adabereghị na genome ọ bụla,

● Enwere ike iji data ahụ nyochaa nhazi na okwu nke ederede

● Chọpụta ebe a na-egbutu ndị na-agbanwe agbanwe

Uru ọrụ

● Nnyefe nsonaazụ dabere na BMKCloud: A na-ewepụta nsonaazụ dị ka faịlụ data na akụkọ mmekọrịta site na BMKCloud n'elu ikpo okwu, nke na-enye ohere ịgụ ihe omume enyi na enyi nke nsonaazụ nyocha dị mgbagwoju anya na ntinye data ahaziri ahazi na ndabere nke nyocha bioinformatics ọkọlọtọ.

● Ọrụ ire ere: Ọrụ ire ere na-arụ ọrụ maka ọnwa 3 mgbe arụchara ọrụ, gụnyere nleba anya ọrụ, mgbapụ nsogbu, nsonaazụ Q&A, wdg.

Ihe nlele chọrọ na nnyefe

Ihe atụ chọrọ:

Nucleotides:

Conc.(ng/μl)

Ọnụ ego (μg)

Ịdị ọcha

Iguzosi ike n'ezi ihe

≥ 20

≥ 0.5

OD260/280=1.7-2.5

OD260/230=0.5-2.5

Enwere oke ma ọ bụ enweghị protein ma ọ bụ mmetọ DNA nke egosiri na gel.

Maka osisi: RIN≥6.5;

Maka anụmanụ: RIN≥7.0;

5.0≥28S/18S≥1.0;

nwere oke ma ọ bụ enweghị mgbago elu

Anụ ahụ: Ibu (akọrọ): ≥1 g
* Maka anụ ahụ dị obere karịa 5 mg, anyị na-akwado iziga ihe nlele anụ ahụ kpọnwụrụ akpọnwụ (na mmiri mmiri nitrogen).

Nkwụsị cell: Ọnụ ọgụgụ cell = 3×107
* Anyị na-akwado ibupu cell lysate oyi kpọnwụrụ.Ọ bụrụ na sel ahụ riri obere karịa 5 × 105, Flash jụrụ oyi na mmiri mmiri nitrogen ka akwadoro.

Ihe nlele ọbara:
PA × geneBloodRNATube;
6mLTRIzol na 2mL ọbara (TRIzol: Blood = 3: 1)

Nnyefe nlele akwadoro

akpa:
2 ml nke centrifuge tube (anaghị akwado foil tin)
Ịkpọ aha nlele: Otu+ megharịa dịka A1, A2, A3;B1, B2, B3......

Mbupu:
1.Dry-ice: A ga-etinye ihe nlele n'ime akpa ma lie ya na akọrọ-ice.
2.RNAstable tubes: Enwere ike ihichapụ ihe nlele RNA na tube stabilization RNA (dịka RNAstable®) ma bufee ya na okpomọkụ.

Usoro ọrụ ọrụ

Ihe atụ QC

Nnwale imewe

nnyefe sample

Nbufe ihe atụ

Nnwale pilot

mmịpụta RNA

Nkwadebe ụlọ akwụkwọ

Ịrụ ụlọ akwụkwọ

Usoro

Usoro

Nyocha data

Nyocha data

Mgbe ire Ọrụ

Mgbe-ire ọrụ


  • Nke gara aga:
  • Osote:

  • Bioinformatics

    wps_doc_11

    1.mRNA(denovo) Ụkpụrụ Mgbakọ

    Site n'Atọ n'Ime Otu, a na-ekewa akwụkwọ ndị ahụ n'ime obere iberibe, nke a maara dị ka K-mer.A na-eji K-mers ndị a dị ka mkpụrụ nke a ga-agbatị n'ime contigs wee na-adabere na contig overlappings.N'ikpeazụ, etinyere De Bruijn ebe a iji mata ederede na akụrụngwa.

    mRNA-(De-novo)-Nleba anya-nke-Trinity

    mRNA (De novo) Nchịkọta nke Atọ n'Ime Otu

    2.mRNA (De novo) Nkesa Ọkwa nkwupụta Gene

    RNA-Seq nwere ike nweta nleba anya nke ukwuu nke okwu mkpụrụ ndụ ihe nketa.Dị ka ọ na-adịkarị, FPKM nwere ike ịchọpụta ụdị ederede ederede sitere na 10^-2 ruo 10^6.

    mRNA-(De-novo) - Nkesa-nke-FPKM-njupụta-na-nlere anya nke ọ bụla

    mRNA (De novo) Nkesa njupụta FPKM na nlele ọ bụla

    3.mRNA (De novo) GO Enrichment Analysis of DEGs

    GO (Gene Ontology) nchekwa data bụ usoro nkọwa ihe ndụ ahaziri ahazi nke nwere ụkpụrụ okwu nke mkpụrụ ndụ ihe nketa na ọrụ mkpụrụ ndụ ihe nketa.Ọ nwere ọkwa dị iche iche, ebe ọkwa dị ala dị ala, ka a kapịrị ọnụ ọrụ ndị ahụ.

    mRNA-(De-novo)-GO-nkewa-nke-DEGs-na-ọkwa nke abụọ

    mRNA (De novo) GO nhazi ọkwa DEGs na ọkwa nke abụọ

    Okwu BMK

    Nyocha transcriptome nke Sucrose Metabolism n'oge ọzịza na mmepe na yabasị (Allium cepa L.)

    Ebipụtara: ókè na sayensị osisi,2016

    Usoro usoro

    Illumina HiSeq2500

    Nchịkọta ihe atụ

    A na-eji osisi ubi Utah Yellow Sweet Spain mee ihe n'ọmụmụ ihe a.Ọnụọgụ ihe nlele anakọtara bụ
    Ụbọchị 15 mgbe ọzịza (DAS) nke bọlbụ (dayameta 2-cm na ịdị arọ 3-4 g), 30th DAS (dayameta 5-cm na 100-110 g arọ), na ~ 3 na 40th DAS (7-cm dayameta na 260-300 grams.

    Nsonaazụ igodo

    1. na eserese Venn, a chọpụtara ngụkọta nke 146 DEGs n'ofe ụzọ atọ niile nke mmepe mmepe.
    2. "Carbohydrate Transport and metabolism" bụ naanị 585 unigenes (ya bụ, 7% nke COG nkọwa).
    3.Unigenes nke ọma kọwara na GO nchekwa data bụ nkewa n'ime atọ isi edemede maka atọ dị iche iche nkebi nke bọlbụ mmepe.Ọtụtụ ndị nọchitere anya na ngalaba “usoro ndu ndu” bụ “usoro metabolic” nke sochiri “usoro mkpụrụ ndụ”.N'ụdị isi nke "ọrụ molecular" ngalaba abụọ a kacha egosipụta bụ "njikọ" na "ọrụ catalytic".

    PB-uju-ogologo-RNA-usoro-ihe ọmụmụ

    Histogram nke ụyọkọ nke orthologous otu (COG) nhazi ọkwa

    PB-uju-ogologo-RNA-usoro-ihe ọmụmụ

    Histogram nke gene ontology (GO) nkewa maka unigenes ewepụtara na bulbs n'usoro mmepe atọ.

    PB-uju-ogologo-RNA-usoro-ihe ọmụmụ

    Eserese Venn na-egosi mkpụrụ ndụ ihe nketa dị iche iche n'ụdị abụọ ọ bụla nke mmepe bọlbụ yabasị

    Ntụaka

    Zhang C, Zhang H, Zhan Z, et al.Nyocha transcriptome nke Sucrose Metabolism n'oge ọzịza na mmepe na yabasị (Allium cepa L.)[J].Oke na sayensị osisi, 2016, 7:1425- .DOI: 10.3389/fpls.2016.01425

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