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Literature DB >> 28762386

Genetics: Taking single-cell transcriptomics to the bedside.

Sam Behjati¹, Muzlifah Haniffa².

Abstract

Mesh：

Year: 2017 PMID： 28762386 DOI： 10.1038/nrclinonc.2017.117

Source DB: PubMed Journal: Nat Rev Clin Oncol ISSN： 1759-4774 Impact factor: 66.675

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6 in total

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

Authors: Simone Picelli; Omid R Faridani; Asa K Björklund; Gösta Winberg; Sven Sagasser; Rickard Sandberg
Journal: Nat Protoc Date: 2014-01-02 Impact factor: 13.491

2. Recurrent ETNK1 mutations in atypical chronic myeloid leukemia.

Authors: Carlo B Gambacorti-Passerini; Carla Donadoni; Andrea Parmiani; Alessandra Pirola; Sara Redaelli; Giovanni Signore; Vincenzo Piazza; Luca Malcovati; Diletta Fontana; Roberta Spinelli; Vera Magistroni; Giuseppe Gaipa; Marco Peronaci; Alessandro Morotti; Cristina Panuzzo; Giuseppe Saglio; Emilio Usala; Dong-Wook Kim; Delphine Rea; Konstantinos Zervakis; Nora Viniou; Argiris Symeonidis; Heiko Becker; Jacqueline Boultwood; Leonardo Campiotti; Matteo Carrabba; Elena Elli; Graham R Bignell; Elli Papaemmanuil; Peter J Campbell; Mario Cazzola; Rocco Piazza
Journal: Blood Date: 2014-10-24 Impact factor: 22.113

3. Single-cell transcriptomics uncovers distinct molecular signatures of stem cells in chronic myeloid leukemia.

Authors: Alice Giustacchini; Supat Thongjuea; Nikolaos Barkas; Petter S Woll; Benjamin J Povinelli; Christopher A G Booth; Paul Sopp; Ruggiero Norfo; Alba Rodriguez-Meira; Neil Ashley; Lauren Jamieson; Paresh Vyas; Kristina Anderson; Åsa Segerstolpe; Hong Qian; Ulla Olsson-Strömberg; Satu Mustjoki; Rickard Sandberg; Sten Eirik W Jacobsen; Adam J Mead
Journal: Nat Med Date: 2017-05-15 Impact factor: 53.440

4. Discovery of somatic mutations in the progression of chronic myeloid leukemia by whole-exome sequencing.

Authors: Y Huang; J Zheng; J D Hu; Y A Wu; X Y Zheng; T B Liu; F L Chen
Journal: Genet Mol Res Date: 2014-02-19

Review 5. Chronic myeloid leukaemia.

Authors: Jane F Apperley
Journal: Lancet Date: 2014-12-05 Impact factor: 79.321

6. Large-scale RNA-Seq Transcriptome Analysis of 4043 Cancers and 548 Normal Tissue Controls across 12 TCGA Cancer Types.

Authors: Li Peng; Xiu Wu Bian; Di Kang Li; Chuan Xu; Guang Ming Wang; Qing You Xia; Qing Xiong
Journal: Sci Rep Date: 2015-08-21 Impact factor: 4.379

6 in total

4 in total

Genetics: Taking single-cell transcriptomics to the bedside.

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

2. Recurrent ETNK1 mutations in atypical chronic myeloid leukemia.

3. Single-cell transcriptomics uncovers distinct molecular signatures of stem cells in chronic myeloid leukemia.

4. Discovery of somatic mutations in the progression of chronic myeloid leukemia by whole-exome sequencing.

Review 5. Chronic myeloid leukaemia.

6. Large-scale RNA-Seq Transcriptome Analysis of 4043 Cancers and 548 Normal Tissue Controls across 12 TCGA Cancer Types.

Review 1. The study of single cells in diabetic kidney disease.

Review 2. Potential Clinical Application of Genomics in Multiple Myeloma.

Review 3. Single-Cell Transcriptomics in Cancer Immunobiology: The Future of Precision Oncology.

Review 4. Shifting Gears in Precision Oncology-Challenges and Opportunities of Integrative Data Analysis.