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Sensitive high-throughput single-cell RNA-seq reveals within-clonal transcript correlations in yeast populations.
Nadal-Ribelles, Mariona; Islam, Saiful; Wei, Wu; Latorre, Pablo; Nguyen, Michelle; de Nadal, Eulàlia; Posas, Francesc; Steinmetz, Lars M.
Affiliation
  • Nadal-Ribelles M; Department of Genetics, Stanford University, School of Medicine, Stanford, CA, USA.
  • Islam S; Stanford Genome Technology Center, Stanford University, Stanford, CA, USA.
  • Wei W; Cell Signaling Research Group. Departament de Ciències Experimentals i de la Salut., Universitat Pompeu Fabra , Barcelona, Spain.
  • Latorre P; Cell Signaling. Institute for Research in Biomedicine. Barcelona Institute of Science and Technology, Barcelona, Spain.
  • Nguyen M; Department of Genetics, Stanford University, School of Medicine, Stanford, CA, USA.
  • de Nadal E; Stanford Genome Technology Center, Stanford University, Stanford, CA, USA.
  • Posas F; Department of Genetics, Stanford University, School of Medicine, Stanford, CA, USA.
  • Steinmetz LM; Stanford Genome Technology Center, Stanford University, Stanford, CA, USA.
Nat Microbiol ; 4(4): 683-692, 2019 04.
Article in En | MEDLINE | ID: mdl-30718850
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Saccharomyces cerevisiae / RNA, Fungal / Single-Cell Analysis / High-Throughput Nucleotide Sequencing Type of study: Diagnostic_studies / Evaluation_studies Language: En Journal: Nat Microbiol Year: 2019 Document type: Article Affiliation country: United States Country of publication: United kingdom
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Saccharomyces cerevisiae / RNA, Fungal / Single-Cell Analysis / High-Throughput Nucleotide Sequencing Type of study: Diagnostic_studies / Evaluation_studies Language: En Journal: Nat Microbiol Year: 2019 Document type: Article Affiliation country: United States Country of publication: United kingdom