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Results: 1 to 20 of 95

1.

Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity.

Sasagawa Y, Nikaido I, Hayashi T, Danno H, Uno KD, Imai T, Ueda HR.

Genome Biol. 2013 Apr 17;14(4):R31. doi: 10.1186/gb-2013-14-4-r31.

PMID:
23594475
[PubMed - in process]
Free PMC Article
2.

Single-neuron RNA-Seq: technical feasibility and reproducibility.

Qiu S, Luo S, Evgrafov O, Li R, Schroth GP, Levitt P, Knowles JA, Wang K.

Front Genet. 2012 Jul 6;3:124. doi: 10.3389/fgene.2012.00124. eCollection 2012. Erratum in: Front Genet. 2013;4:69. Front Genet. 2013;4:23.

PMID:
22934102
[PubMed]
Free PMC Article
3.

A flexible count data model to fit the wide diversity of expression profiles arising from extensively replicated RNA-seq experiments.

Esnaola M, Puig P, Gonzalez D, Castelo R, Gonzalez JR.

BMC Bioinformatics. 2013 Aug 21;14:254. doi: 10.1186/1471-2105-14-254.

PMID:
23965047
[PubMed - indexed for MEDLINE]
Free PMC Article
4.

RNA-Seq vs dual- and single-channel microarray data: sensitivity analysis for differential expression and clustering.

Sîrbu A, Kerr G, Crane M, Ruskin HJ.

PLoS One. 2012;7(12):e50986. doi: 10.1371/journal.pone.0050986. Epub 2012 Dec 10.

PMID:
23251411
[PubMed - indexed for MEDLINE]
Free PMC Article
5.

Feasibility of whole RNA sequencing from single-cell mRNA amplification.

Xu Y, Hu H, Zheng J, Li B.

Genet Res Int. 2013;2013:724124. doi: 10.1155/2013/724124. Epub 2013 Dec 23.

PMID:
24455282
[PubMed]
Free PMC Article
6.

Improving reliability and absolute quantification of human brain microarray data by filtering and scaling probes using RNA-Seq.

Miller JA, Menon V, Goldy J, Kaykas A, Lee CK, Smith KA, Shen EH, Phillips JW, Lein ES, Hawrylycz MJ.

BMC Genomics. 2014 Feb 24;15:154. doi: 10.1186/1471-2164-15-154.

PMID:
24564186
[PubMed - in process]
Free PMC Article
7.

Microfluidic single-cell whole-transcriptome sequencing.

Streets AM, Zhang X, Cao C, Pang Y, Wu X, Xiong L, Yang L, Fu Y, Zhao L, Tang F, Huang Y.

Proc Natl Acad Sci U S A. 2014 May 13;111(19):7048-53. doi: 10.1073/pnas.1402030111. Epub 2014 Apr 29.

PMID:
24782542
[PubMed - indexed for MEDLINE]
8.

A mixture model for expression deconvolution from RNA-seq in heterogeneous tissues.

Li Y, Xie X.

BMC Bioinformatics. 2013;14 Suppl 5:S11. doi: 10.1186/1471-2105-14-S5-S11. Epub 2013 Apr 10.

PMID:
23735186
[PubMed - indexed for MEDLINE]
Free PMC Article
9.

RNA-seq analysis of transcriptomes in thrombin-treated and control human pulmonary microvascular endothelial cells.

Cheranova D, Gibson M, Chaudhary S, Zhang LQ, Heruth DP, Grigoryev DN, Ye SQ.

J Vis Exp. 2013 Feb 13;(72). pii: 4393. doi: 10.3791/4393.

PMID:
23426025
[PubMed - indexed for MEDLINE]
10.

CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification.

Hashimshony T, Wagner F, Sher N, Yanai I.

Cell Rep. 2012 Sep 27;2(3):666-73. doi: 10.1016/j.celrep.2012.08.003. Epub 2012 Aug 30.

PMID:
22939981
[PubMed - indexed for MEDLINE]
Free Article
11.

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 6;15:341. doi: 10.1186/1471-2164-15-341.

PMID:
24884414
[PubMed - in process]
Free PMC Article
12.

Revolution of nephrology research by deep sequencing: ChIP-seq and RNA-seq.

Mimura I, Kanki Y, Kodama T, Nangaku M.

Kidney Int. 2014 Jan;85(1):31-8. doi: 10.1038/ki.2013.321. Epub 2013 Aug 28.

PMID:
23986147
[PubMed - in process]
13.

Characterizing the impact of smoking and lung cancer on the airway transcriptome using RNA-Seq.

Beane J, Vick J, Schembri F, Anderlind C, Gower A, Campbell J, Luo L, Zhang XH, Xiao J, Alekseyev YO, Wang S, Levy S, Massion PP, Lenburg M, Spira A.

Cancer Prev Res (Phila). 2011 Jun;4(6):803-17. doi: 10.1158/1940-6207.CAPR-11-0212.

PMID:
21636547
[PubMed - indexed for MEDLINE]
Free PMC Article
14.

Impact of library preparation on downstream analysis and interpretation of RNA-Seq data: comparison between Illumina PolyA and NuGEN Ovation protocol.

Sun Z, Asmann YW, Nair A, Zhang Y, Wang L, Kalari KR, Bhagwate AV, Baker TR, Carr JM, Kocher JP, Perez EA, Thompson EA.

PLoS One. 2013 Aug 19;8(8):e71745. doi: 10.1371/journal.pone.0071745. eCollection 2013.

PMID:
23977132
[PubMed - indexed for MEDLINE]
Free PMC Article
15.

Functional DNA methylation differences between tissues, cell types, and across individuals discovered using the M&M algorithm.

Zhang B, Zhou Y, Lin N, Lowdon RF, Hong C, Nagarajan RP, Cheng JB, Li D, Stevens M, Lee HJ, Xing X, Zhou J, Sundaram V, Elliott G, Gu J, Shi T, Gascard P, Sigaroudinia M, Tlsty TD, Kadlecek T, Weiss A, O'Geen H, Farnham PJ, Maire CL, Ligon KL, Madden PA, Tam A, Moore R, Hirst M, Marra MA, Zhang B, Costello JF, Wang T.

Genome Res. 2013 Sep;23(9):1522-40. doi: 10.1101/gr.156539.113. Epub 2013 Jun 26.

PMID:
23804400
[PubMed - indexed for MEDLINE]
Free PMC Article
16.

Single read and paired end mRNA-Seq Illumina libraries from 10 nanograms total RNA.

Sengupta S, Bolin JM, Ruotti V, Nguyen BK, Thomson JA, Elwell AL, Stewart R.

J Vis Exp. 2011 Oct 27;(56):e3340. doi: 10.3791/3340.

PMID:
22064688
[PubMed - indexed for MEDLINE]
Free PMC Article
17.

Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types.

Jaitin DA, Kenigsberg E, Keren-Shaul H, Elefant N, Paul F, Zaretsky I, Mildner A, Cohen N, Jung S, Tanay A, Amit I.

Science. 2014 Feb 14;343(6172):776-9. doi: 10.1126/science.1247651.

PMID:
24531970
[PubMed - indexed for MEDLINE]
18.

[Use of the real-time RT-PCR method for investigation of small stable RNA expression level in human epidermoid carcinoma cells A431].

Nikitina TV, Nazarova NIu, Tishchenko LI, Tuohimaa P, Sedova VM.

Tsitologiia. 2003;45(4):392-402. Russian.

PMID:
14520871
[PubMed - indexed for MEDLINE]
19.

Full-length RNA-seq from single cells using Smart-seq2.

Picelli S, Faridani OR, Björklund AK, Winberg G, Sagasser S, Sandberg R.

Nat Protoc. 2014 Jan;9(1):171-81. doi: 10.1038/nprot.2014.006. Epub 2014 Jan 2.

PMID:
24385147
[PubMed - indexed for MEDLINE]
20.

Predicting gene regulatory networks of soybean nodulation from RNA-Seq transcriptome data.

Zhu M, Dahmen JL, Stacey G, Cheng J.

BMC Bioinformatics. 2013 Sep 22;14:278. doi: 10.1186/1471-2105-14-278.

PMID:
24053776
[PubMed - indexed for MEDLINE]
Free PMC Article

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