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Items: 1 to 20 of 96

1.

Data exploration, quality control and testing in single-cell qPCR-based gene expression experiments.

McDavid A, Finak G, Chattopadyay PK, Dominguez M, Lamoreaux L, Ma SS, Roederer M, Gottardo R.

Bioinformatics. 2013 Feb 15;29(4):461-7. doi: 10.1093/bioinformatics/bts714. Epub 2012 Dec 24.

2.

Quantitative miRNA expression analysis using fluidigm microfluidics dynamic arrays.

Jang JS, Simon VA, Feddersen RM, Rakhshan F, Schultz DA, Zschunke MA, Lingle WL, Kolbert CP, Jen J.

BMC Genomics. 2011 Mar 9;12:144. doi: 10.1186/1471-2164-12-144.

3.

Validation of oligonucleotide microarray data using microfluidic low-density arrays: a new statistical method to normalize real-time RT-PCR data.

Abruzzo LV, Lee KY, Fuller A, Silverman A, Keating MJ, Medeiros LJ, Coombes KR.

Biotechniques. 2005 May;38(5):785-92.

4.

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.

5.

Comparison of reverse transcription-quantitative polymerase chain reaction methods and platforms for single cell gene expression analysis.

Fox BC, Devonshire AS, Baradez MO, Marshall D, Foy CA.

Anal Biochem. 2012 Aug 15;427(2):178-86. doi: 10.1016/j.ab.2012.05.010. Epub 2012 May 19.

PMID:
22617801
6.

qpcR: an R package for sigmoidal model selection in quantitative real-time polymerase chain reaction analysis.

Ritz C, Spiess AN.

Bioinformatics. 2008 Jul 1;24(13):1549-51. doi: 10.1093/bioinformatics/btn227. Epub 2008 May 14.

PMID:
18482995
7.

Methods for qPCR gene expression profiling applied to 1440 lymphoblastoid single cells.

Livak KJ, Wills QF, Tipping AJ, Datta K, Mittal R, Goldson AJ, Sexton DW, Holmes CC.

Methods. 2013 Jan;59(1):71-9. doi: 10.1016/j.ymeth.2012.10.004. Epub 2012 Oct 16.

8.

RT-qPCR based quantitative analysis of gene expression in single bacterial cells.

Gao W, Zhang W, Meldrum DR.

J Microbiol Methods. 2011 Jun;85(3):221-7. doi: 10.1016/j.mimet.2011.03.008. Epub 2011 Apr 1.

PMID:
21440012
9.

Reliable gene expression analysis by reverse transcription-quantitative PCR: reporting and minimizing the uncertainty in data accuracy.

Remans T, Keunen E, Bex GJ, Smeets K, Vangronsveld J, Cuypers A.

Plant Cell. 2014 Oct;26(10):3829-37. doi: 10.1105/tpc.114.130641. Epub 2014 Oct 31.

10.

Single-cell PCR profiling of gene expression in hematopoiesis.

Teles J, Enver T, Pina C.

Methods Mol Biol. 2014;1185:21-42. doi: 10.1007/978-1-4939-1133-2_3.

PMID:
25062620
11.

MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data.

Finak G, McDavid A, Yajima M, Deng J, Gersuk V, Shalek AK, Slichter CK, Miller HW, McElrath MJ, Prlic M, Linsley PS, Gottardo R.

Genome Biol. 2015 Dec 10;16:278. doi: 10.1186/s13059-015-0844-5.

12.

Microarray standard data set and figures of merit for comparing data processing methods and experiment designs.

He YD, Dai H, Schadt EE, Cavet G, Edwards SW, Stepaniants SB, Duenwald S, Kleinhanz R, Jones AR, Shoemaker DD, Stoughton RB.

Bioinformatics. 2003 May 22;19(8):956-65.

PMID:
12761058
13.

Comprehensive qPCR profiling of gene expression in single neuronal cells.

Citri A, Pang ZP, Südhof TC, Wernig M, Malenka RC.

Nat Protoc. 2011 Dec 22;7(1):118-27. doi: 10.1038/nprot.2011.430.

14.

Quantitative single-cell gene expression measurements of multiple genes in response to hypoxia treatment.

Zeng J, Wang J, Gao W, Mohammadreza A, Kelbauskas L, Zhang W, Johnson RH, Meldrum DR.

Anal Bioanal Chem. 2011 Jul;401(1):3-13. doi: 10.1007/s00216-011-5084-2. Epub 2011 May 26.

PMID:
21614642
15.

Twenty-five years of quantitative PCR for gene expression analysis.

VanGuilder HD, Vrana KE, Freeman WM.

Biotechniques. 2008 Apr;44(5):619-26. doi: 10.2144/000112776. Review.

16.

Highly multiplexed quantitation of gene expression on single cells.

Dominguez MH, Chattopadhyay PK, Ma S, Lamoreaux L, McDavid A, Finak G, Gottardo R, Koup RA, Roederer M.

J Immunol Methods. 2013 May 31;391(1-2):133-45. doi: 10.1016/j.jim.2013.03.002. Epub 2013 Mar 13.

18.

chipPCR: an R package to pre-process raw data of amplification curves.

Rödiger S, Burdukiewicz M, Schierack P.

Bioinformatics. 2015 Sep 1;31(17):2900-2. doi: 10.1093/bioinformatics/btv205. Epub 2015 Apr 24.

PMID:
25913204
19.
20.

A high-throughput microfluidic real-time gene expression living cell array.

King KR, Wang S, Irimia D, Jayaraman A, Toner M, Yarmush ML.

Lab Chip. 2007 Jan;7(1):77-85. Epub 2006 Sep 29.

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