Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 132

1.

Quantitative assessment of single-cell RNA-sequencing methods.

Wu AR, Neff NF, Kalisky T, Dalerba P, Treutlein B, Rothenberg ME, Mburu FM, Mantalas GL, Sim S, Clarke MF, Quake SR.

Nat Methods. 2014 Jan;11(1):41-6. doi: 10.1038/nmeth.2694. Epub 2013 Oct 20.

2.

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.

3.

Single-cell sequencing.

Nawy T.

Nat Methods. 2014 Jan;11(1):18. No abstract available.

PMID:
24524131
4.

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.

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 24;109(4):1347-52. doi: 10.1073/pnas.1118018109. Epub 2012 Jan 9.

6.

The promise of single-cell sequencing.

Eberwine J, Sul JY, Bartfai T, Kim J.

Nat Methods. 2014 Jan;11(1):25-7. No abstract available.

PMID:
24524134
7.

Highly multiplexed and strand-specific single-cell RNA 5' end sequencing.

Islam S, Kjällquist U, Moliner A, Zajac P, Fan JB, Lönnerberg P, Linnarsson S.

Nat Protoc. 2012 Apr 5;7(5):813-28. doi: 10.1038/nprot.2012.022.

PMID:
22481528
8.

Accurate Profiling of Gene Expression and Alternative Polyadenylation with Whole Transcriptome Termini Site Sequencing (WTTS-Seq).

Zhou X, Li R, Michal JJ, Wu XL, Liu Z, Zhao H, Xia Y, Du W, Wildung MR, Pouchnik DJ, Harland RM, Jiang Z.

Genetics. 2016 Jun;203(2):683-97. doi: 10.1534/genetics.116.188508. Epub 2016 Apr 20.

9.

Entering the era of single-cell transcriptomics in biology and medicine.

Sandberg R.

Nat Methods. 2014 Jan;11(1):22-4. No abstract available.

PMID:
24524133
10.

Next-generation sequencing facilitates quantitative analysis of wild-type and Nrl(-/-) retinal transcriptomes.

Brooks MJ, Rajasimha HK, Roger JE, Swaroop A.

Mol Vis. 2011;17:3034-54. Epub 2011 Nov 23.

11.

SC3-seq: a method for highly parallel and quantitative measurement of single-cell gene expression.

Nakamura T, Yabuta Y, Okamoto I, Aramaki S, Yokobayashi S, Kurimoto K, Sekiguchi K, Nakagawa M, Yamamoto T, Saitou M.

Nucleic Acids Res. 2015 May 19;43(9):e60. doi: 10.1093/nar/gkv134. Epub 2015 Feb 26.

12.

Evaluation and validation of a robust single cell RNA-amplification protocol through transcriptional profiling of enriched lung cancer initiating cells.

Rothwell DG, Li Y, Ayub M, Tate C, Newton G, Hey Y, Carter L, Faulkner S, Moro M, Pepper S, Miller C, Blackhall F, Bertolini G, Roz L, Dive C, Brady G.

BMC Genomics. 2014 Dec 17;15:1129. doi: 10.1186/1471-2164-15-1129.

13.

[Recent progress in single-cell RNA-Seq analysis].

Lu W, Fuchou T.

Yi Chuan. 2014 Nov;36(11):1069-76. doi: 10.3724/SP.J.1005.2014.1069. Review. Chinese.

PMID:
25567865
14.

Whole-Transcriptome Amplification of Single Cells for Next-Generation Sequencing.

Korfhage C, Fricke E, Meier A.

Curr Protoc Mol Biol. 2015 Jul 1;111:7.20.1-19. doi: 10.1002/0471142727.mb0720s111.

PMID:
26131855
15.

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 15;471:9-16. doi: 10.1016/j.ab.2014.10.011. Epub 2014 Oct 31.

PMID:
25449304
16.

SINCERA: A Pipeline for Single-Cell RNA-Seq Profiling Analysis.

Guo M, Wang H, Potter SS, Whitsett JA, Xu Y.

PLoS Comput Biol. 2015 Nov 24;11(11):e1004575. doi: 10.1371/journal.pcbi.1004575. eCollection 2015 Nov.

17.

Quantifying RNA allelic ratios by microfluidic multiplex PCR and sequencing.

Zhang R, Li X, Ramaswami G, Smith KS, Turecki G, Montgomery SB, Li JB.

Nat Methods. 2014 Jan;11(1):51-4. doi: 10.1038/nmeth.2736. Epub 2013 Nov 24.

18.

Comprehensive evaluation of AmpliSeq transcriptome, a novel targeted whole transcriptome RNA sequencing methodology for global gene expression analysis.

Li W, Turner A, Aggarwal P, Matter A, Storvick E, Arnett DK, Broeckel U.

BMC Genomics. 2015 Dec 16;16:1069. doi: 10.1186/s12864-015-2270-1.

19.

Using single nuclei for RNA-seq to capture the transcriptome of postmortem neurons.

Krishnaswami SR, Grindberg RV, Novotny M, Venepally P, Lacar B, Bhutani K, Linker SB, Pham S, Erwin JA, Miller JA, Hodge R, McCarthy JK, Kelder M, McCorrison J, Aevermann BD, Fuertes FD, Scheuermann RH, Lee J, Lein ES, Schork N, McConnell MJ, Gage FH, Lasken RS.

Nat Protoc. 2016 Mar;11(3):499-524. doi: 10.1038/nprot.2016.015. Epub 2016 Feb 18.

20.

Quantitative single cell gene expression profiling in the avian embryo.

Morrison JA, Box AC, McKinney MC, McLennan R, Kulesa PM.

Dev Dyn. 2015 Jun;244(6):774-84. doi: 10.1002/dvdy.24274.

Supplemental Content

Support Center