172 related articles for article (PubMed ID: 28474677)
1. Quantification of differential gene expression by multiplexed targeted resequencing of cDNA.
Arts P; van der Raadt J; van Gestel SHC; Steehouwer M; Shendure J; Hoischen A; Albers CA
Nat Commun; 2017 May; 8():15190. PubMed ID: 28474677
[TBL] [Abstract][Full Text] [Related]
2. RNA-Seq: revelation of the messengers.
Van Verk MC; Hickman R; Pieterse CM; Van Wees SC
Trends Plant Sci; 2013 Apr; 18(4):175-9. PubMed ID: 23481128
[TBL] [Abstract][Full Text] [Related]
3. High-throughput RNA isoform sequencing using programmed cDNA concatenation.
Al'Khafaji AM; Smith JT; Garimella KV; Babadi M; Popic V; Sade-Feldman M; Gatzen M; Sarkizova S; Schwartz MA; Blaum EM; Day A; Costello M; Bowers T; Gabriel S; Banks E; Philippakis AA; Boland GM; Blainey PC; Hacohen N
Nat Biotechnol; 2024 Apr; 42(4):582-586. PubMed ID: 37291427
[TBL] [Abstract][Full Text] [Related]
4. High-Throughput Cellular RNA Sequencing (HiCAR-Seq): Cost-Effective, High-Throughput 3' mRNA-Seq Method Enabling Individual Sample Quality Control.
Veeranagouda Y; Zachayus JL; Guillemot JC; Venier O; Didier M
Curr Protoc Mol Biol; 2020 Sep; 132(1):e123. PubMed ID: 32735043
[TBL] [Abstract][Full Text] [Related]
5. Digital RNA sequencing minimizes sequence-dependent bias and amplification noise with optimized single-molecule barcodes.
Shiroguchi K; Jia TZ; Sims PA; Xie XS
Proc Natl Acad Sci U S A; 2012 Jan; 109(4):1347-52. PubMed ID: 22232676
[TBL] [Abstract][Full Text] [Related]
6. Recovery and analysis of transcriptome subsets from pooled single-cell RNA-seq libraries.
Riemondy KA; Ransom M; Alderman C; Gillen AE; Fu R; Finlay-Schultz J; Kirkpatrick GD; Di Paola J; Kabos P; Sartorius CA; Hesselberth JR
Nucleic Acids Res; 2019 Feb; 47(4):e20. PubMed ID: 30496484
[TBL] [Abstract][Full Text] [Related]
7. Rare Cell Detection by Single-Cell RNA Sequencing as Guided by Single-Molecule RNA FISH.
Torre E; Dueck H; Shaffer S; Gospocic J; Gupte R; Bonasio R; Kim J; Murray J; Raj A
Cell Syst; 2018 Feb; 6(2):171-179.e5. PubMed ID: 29454938
[TBL] [Abstract][Full Text] [Related]
8. Single-Cell RNA Sequencing Analysis Using Fluidigm C1 Platform for Characterization of Heterogeneous Transcriptomes.
Kim J; Marignani PA
Methods Mol Biol; 2022; 2508():261-278. PubMed ID: 35737246
[TBL] [Abstract][Full Text] [Related]
9. Current and Future Methods for mRNA Analysis: A Drive Toward Single Molecule Sequencing.
Bayega A; Fahiminiya S; Oikonomopoulos S; Ragoussis J
Methods Mol Biol; 2018; 1783():209-241. PubMed ID: 29767365
[TBL] [Abstract][Full Text] [Related]
10. EXPRSS: an Illumina based high-throughput expression-profiling method to reveal transcriptional dynamics.
Rallapalli G; Kemen EM; Robert-Seilaniantz A; Segonzac C; Etherington GJ; Sohn KH; MacLean D; Jones JD
BMC Genomics; 2014 May; 15(1):341. PubMed ID: 24884414
[TBL] [Abstract][Full Text] [Related]
11. A comparison of mRNA sequencing (RNA-Seq) library preparation methods for transcriptome analysis.
Ura H; Togi S; Niida Y
BMC Genomics; 2022 Apr; 23(1):303. PubMed ID: 35418012
[TBL] [Abstract][Full Text] [Related]
12. Single-Cell mRNA-Seq Using the Fluidigm C1 System and Integrated Fluidics Circuits.
Gong H; Do D; Ramakrishnan R
Methods Mol Biol; 2018; 1783():193-207. PubMed ID: 29767364
[TBL] [Abstract][Full Text] [Related]
13. Transcriptomic analysis of Staphylococcus aureus using microarray and advanced next-generation RNA-seq technologies.
Lei T; Becker A; Ji Y
Methods Mol Biol; 2014; 1085():213-29. PubMed ID: 24085699
[TBL] [Abstract][Full Text] [Related]
14. A 3'-end capture sequencing method for high-throughput targeted gene expression profiling.
de Bony E; Gysens F; Yigit N; Anckaert J; Everaert C; Vanden Eynde E; Verniers K; van Snippenberg W; Trypsteen W; Mestdagh P
Biotechnol J; 2022 Sep; 17(9):e2100660. PubMed ID: 35535560
[TBL] [Abstract][Full Text] [Related]
15. Next-generation sequencing applied to flower development: RNA-seq.
He J; Jiao Y
Methods Mol Biol; 2014; 1110():401-11. PubMed ID: 24395272
[TBL] [Abstract][Full Text] [Related]
16. Effective detection of variation in single-cell transcriptomes using MATQ-seq.
Sheng K; Cao W; Niu Y; Deng Q; Zong C
Nat Methods; 2017 Mar; 14(3):267-270. PubMed ID: 28092691
[TBL] [Abstract][Full Text] [Related]
17. A benchmark of hemoglobin blocking during library preparation for mRNA-Sequencing of human blood samples.
Uellendahl-Werth F; Wolfien M; Franke A; Wolkenhauer O; Ellinghaus D
Sci Rep; 2020 Mar; 10(1):5630. PubMed ID: 32221409
[TBL] [Abstract][Full Text] [Related]
18. A highly sensitive and accurate gene expression analysis by sequencing ("bead-seq") for a single cell.
Matsunaga H; Goto M; Arikawa K; Shirai M; Tsunoda H; Huang H; Kambara H
Anal Biochem; 2015 Feb; 471():9-16. PubMed ID: 25449304
[TBL] [Abstract][Full Text] [Related]
19. High-resolution transcriptome analysis with long-read RNA sequencing.
Cho H; Davis J; Li X; Smith KS; Battle A; Montgomery SB
PLoS One; 2014; 9(9):e108095. PubMed ID: 25251678
[TBL] [Abstract][Full Text] [Related]
20. Nanopore RNA Sequencing Analysis.
Leonardi T; Leger A
Methods Mol Biol; 2021; 2284():569-578. PubMed ID: 33835464
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
