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T-RHEX-RNAseq - a tagmentation-based, rRNA blocked, random hexamer primed RNAseq method for generating stranded RNAseq libraries directly from very low numbers of lysed cells.
Gustafsson, Charlotte; Hauenstein, Julia; Frengen, Nicolai; Krstic, Aleksandra; Luc, Sidinh; Månsson, Robert.
Affiliation
  • Gustafsson C; Department of Laboratory Medicine, Division of Clinical Immunology, Karolinska Institutet, ANA Futura, Alfred Nobels Allé 8 floor 7, Huddinge, SE-141 52, Sweden.
  • Hauenstein J; Department of Laboratory Medicine, Division of Clinical Immunology, Karolinska Institutet, ANA Futura, Alfred Nobels Allé 8 floor 7, Huddinge, SE-141 52, Sweden.
  • Frengen N; Department of Laboratory Medicine, Division of Clinical Immunology, Karolinska Institutet, ANA Futura, Alfred Nobels Allé 8 floor 7, Huddinge, SE-141 52, Sweden.
  • Krstic A; Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.
  • Luc S; Center for Hematology and Regenerative Medicine (HERM), Karolinska Institutet, Stockholm, Sweden.
  • Månsson R; Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.
BMC Genomics ; 24(1): 205, 2023 Apr 17.
Article in En | MEDLINE | ID: mdl-37069502
BACKGROUND: RNA sequencing has become the mainstay for studies of gene expression. Still, analysis of rare cells with random hexamer priming - to allow analysis of a broader range of transcripts - remains challenging. RESULTS: We here describe a tagmentation-based, rRNA blocked, random hexamer primed RNAseq approach (T-RHEX-RNAseq) for generating stranded RNAseq libraries from very low numbers of FACS sorted cells without RNA purification steps. CONCLUSION: T-RHEX-RNAseq provides an easy-to-use, time efficient and automation compatible method for generating stranded RNAseq libraries from rare cells.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: RNA, Ribosomal / High-Throughput Nucleotide Sequencing Type of study: Clinical_trials Language: En Journal: BMC Genomics Journal subject: GENETICA Year: 2023 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: RNA, Ribosomal / High-Throughput Nucleotide Sequencing Type of study: Clinical_trials Language: En Journal: BMC Genomics Journal subject: GENETICA Year: 2023 Document type: Article Affiliation country: Country of publication: