ØBa nang le Boiphihlelo bo Haholo: Ho se ho sebelitsoe lisampole tse fetang 200,000 ho BMK e koahelang mefuta e fapaneng ea lisampole, ho kenyeletsoa setso sa lisele, lisele, mokelikeli oa 'mele, joalo-joalo le merero e fetang 7,000 ea mRNA-Seq e koetsoeng e koahelang libaka tse fapaneng tsa lipatlisiso.
ØSistimi e thata ea taolo ea boleng: Lintlha tsa taolo ea boleng ba mantlha ka mehato eohle ho kenyeletsoa tokiso ea lisampole, tokiso ea laeborari, tatelano le bioinformatics li tlas'a leihlo le nchocho e le ho fana ka liphetho tsa boleng bo holimo.
ØMananeo a mangata a fumanehang bakeng sa litlhaloso tsa ts'ebetso le lithuto tsa ntlafatso ho phethahatsa lipheo tse fapaneng tsa lipatlisiso.
ØLitšebeletso tsa ka mor'a thekiso: Litšebeletso tsa ka mor'a thekiso li sebetsa likhoeli tse 3 ha projeke e phetheloa, ho kenyelletsa le tatellano ea merero, ho rarolla mathata, liphetho tsa Q&A, jj.
Laebrari | Leano la tatellano | Lintlha li khothalelitsoe | Taolo ea Boleng |
Poly A matlafatsa | Illumina PE150 | 6 Gb | Q30≥85% |
Li-nucleotides:
Bohloeki | Botšepehi | Chelete |
OD260/280≥1.7-2.5 OD260/230≥0.5-2.5Tšoaetso e fokolang kapa ha e na protheine kapa DNA e bontšitsoeng ho gel. | Bakeng sa limela: RIN≥6.5; Bakeng sa liphoofolo: RIN≥7;28S/18S≥1.0; bophahamo bo lekanyelitsoeng kapa bo se nang motheo | Conc.≥30 ng/μl;Molumo ≥ 10 μl;Kakaretso ≥ 1,5 μg |
Tila: Boima ba 'mele (o omileng):≥1 g
*Bakeng sa linama tse nyane ho feta 5 mg, re khothaletsa ho romella sampuli ea lithane tsa "flash" tse leqhoa (ka naetrojene e metsi).
Ho emisoa ha lisele:Palo ea lisele = 3×106-1 × 107
* Re khothaletsa ho romella li-lysate tse leqhoa.Haeba sele eo e le nyane ho feta 5 × 105, ho khothaletsoa flash e hoamisitsoeng ka har'a metsi a naetrojene, e leng khetho e ntle bakeng sa ho ntšoa ha nyane.
Mehlala ea mali:Bophahamo ≥1 ml
Microorganism:Boima ≥ 1 g
Setshelo: 2 ml centrifuge tube (Tin foil ha e khothalletsoe)
Mohlala oa ho ngola: Sehlopha+katiso mohlala A1, A2, A3;B1, B2, B3....
Thomello:
Bioinformatics
Eukaryotic mRNA tatellano ea tlhahlobo ea ts'ebetso ea ts'ebetso
Bioinformatics
ØTaolo ea boleng ba data e tala
ØReference genome alignment
ØTlhahlobo ea sebopeho sa sengoloa
ØTlhaloso ea mantsoe
ØTlhaloso e fapaneng ea tlhaloso
ØTlhaloso ea mosebetsi le ho ntlafatsa
1.mRNA Data Saturation Curve
2.Tlhaloso e fapaneng ea polelo - morero oa Volcano
3.Tlhaloso ea KEGG ho li-DEGs
4.GO classification ka DEGs