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Items: 8

1.

Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells.

Ramsköld D, Luo S, Wang YC, Li R, Deng Q, Faridani OR, Daniels GA, Khrebtukova I, Loring JF, Laurent LC, Schroth GP, Sandberg R.

Nat Biotechnol. 2012 Aug;30(8):777-82.

2.

Preparation of Single-Cell RNA-Seq Libraries for Next Generation Sequencing.

Trombetta JJ, Gennert D, Lu D, Satija R, Shalek AK, Regev A.

Curr Protoc Mol Biol. 2014 Jul 1;107:4.22.1-17. doi: 10.1002/0471142727.mb0422s107. Review.

3.

Comparing bioinformatic gene expression profiling methods: microarray and RNA-Seq.

Mantione KJ, Kream RM, Kuzelova H, Ptacek R, Raboch J, Samuel JM, Stefano GB.

Med Sci Monit Basic Res. 2014 Aug 23;20:138-42. doi: 10.12659/MSMBR.892101. Review.

4.

Comprehensive identification and quantification of microbial transcriptomes by genome-wide unbiased methods.

Mäder U, Nicolas P, Richard H, Bessières P, Aymerich S.

Curr Opin Biotechnol. 2011 Feb;22(1):32-41. doi: 10.1016/j.copbio.2010.10.003. Epub 2010 Nov 10. Review.

PMID:
21074401
5.

Transcriptomics: advances and approaches.

Dong Z, Chen Y.

Sci China Life Sci. 2013 Oct;56(10):960-7. doi: 10.1007/s11427-013-4557-2. Epub 2013 Oct 5. Review.

PMID:
24091688
6.

Revealing allele-specific gene expression by single-cell transcriptomics.

Benitez JA, Cheng S, Deng Q.

Int J Biochem Cell Biol. 2017 Sep;90:155-160. doi: 10.1016/j.biocel.2017.05.029. Epub 2017 May 31. Review.

PMID:
28578186
7.

Advances in single-cell RNA sequencing and its applications in cancer research.

Zhu S, Qing T, Zheng Y, Jin L, Shi L.

Oncotarget. 2017 May 16;8(32):53763-53779. doi: 10.18632/oncotarget.17893. eCollection 2017 Aug 8. Review.

8.

Single-cell analyses to tailor treatments.

Shalek AK, Benson M.

Sci Transl Med. 2017 Sep 20;9(408). pii: eaan4730. doi: 10.1126/scitranslmed.aan4730. Review.

PMID:
28931656

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