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  • Homberger, Christina  (2)
  • Westermann, Alexander J.  (2)
  • English  (2)
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  • English  (2)
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  • 1
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2023
    In:  Nature Biotechnology Vol. 41, No. 8 ( 2023-08), p. 1107-1116
    In: Nature Biotechnology, Springer Science and Business Media LLC, Vol. 41, No. 8 ( 2023-08), p. 1107-1116
    Abstract: Capturing an individual cell’s transcriptional history is a challenge exacerbated by the functional heterogeneity of cellular communities. Here, we leverage reprogrammed tracrRNAs (Rptrs) to record selected cellular transcripts as stored DNA edits in single living bacterial cells. Rptrs are designed to base pair with sensed transcripts, converting them into guide RNAs. The guide RNAs then direct a Cas9 base editor to target an introduced DNA target. The extent of base editing can then be read in the future by sequencing. We use this approach, called TIGER (transcribed RNAs inferred by genetically encoded records), to record heterologous and endogenous transcripts in individual bacterial cells. TIGER can quantify relative expression, distinguish single-nucleotide differences, record multiple transcripts simultaneously and read out single-cell phenomena. We further apply TIGER to record metabolic bet hedging and antibiotic resistance mobilization in Escherichia coli as well as host cell invasion by Salmonella . Through RNA recording, TIGER connects current cellular states with past transcriptional states to decipher complex cellular responses in single cells.
    Type of Medium: Online Resource
    ISSN: 1087-0156 , 1546-1696
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 1494943-X
    detail.hit.zdb_id: 1311932-1
    SSG: 12
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Cold Spring Harbor Laboratory ; 2020
    In:  RNA Vol. 26, No. 8 ( 2020-08), p. 1069-1078
    In: RNA, Cold Spring Harbor Laboratory, Vol. 26, No. 8 ( 2020-08), p. 1069-1078
    Abstract: A major challenge for RNA-seq analysis of gene expression is to achieve sufficient coverage of informative nonribosomal transcripts. In eukaryotic samples, this is typically achieved by selective oligo(dT)-priming of messenger RNAs to exclude ribosomal RNA (rRNA) during cDNA synthesis. However, this strategy is not compatible with prokaryotes in which functional transcripts are generally not polyadenylated. To overcome this, we adopted DASH ( d epletion of a bundant s equences by h ybridization), initially developed for eukaryotic cells, to improve both the sensitivity and depth of bacterial RNA-seq. DASH uses the Cas9 nuclease to remove unwanted cDNA sequences prior to library amplification. We report the design, evaluation, and optimization of DASH experiments for standard bacterial short-read sequencing approaches, including software for automated guide RNA (gRNA) design for Cas9-mediated cleavage in bacterial rDNA sequences. Using these gRNA pools, we effectively removed rRNA reads (56%–86%) in RNA-seq libraries from two different model bacteria, the Gram-negative pathogen Salmonella enterica and the anaerobic gut commensal Bacteroides thetaiotaomicron . DASH works robustly, even with subnanogram amounts of input RNA. Its efficiency, high sensitivity, ease of implementation, and low cost (∼$5 per sample) render DASH an attractive alternative to rRNA removal protocols, in particular for material-constrained studies where conventional ribodepletion techniques fail.
    Type of Medium: Online Resource
    ISSN: 1355-8382 , 1469-9001
    Language: English
    Publisher: Cold Spring Harbor Laboratory
    Publication Date: 2020
    detail.hit.zdb_id: 1475737-0
    SSG: 12
    Library Location Call Number Volume/Issue/Year Availability
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