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dc.contributor.authorJohnson, Grace E
dc.contributor.authorParker, Darren J
dc.contributor.authorLalanne, Jean-Benoit
dc.contributor.authorParker, Mirae L
dc.contributor.authorLi, Gene-Wei
dc.date.accessioned2023-03-10T18:10:55Z
dc.date.available2023-03-10T18:10:55Z
dc.date.issued2023-01-10
dc.identifier.issn2631-9268
dc.identifier.urihttps://hdl.handle.net/1721.1/148465
dc.description.abstract<jats:title>Abstract</jats:title> <jats:p>The ability to profile transcriptomes and characterize global gene expression changes has been greatly enabled by the development of RNA sequencing technologies (RNA-seq). However, the process of generating sequencing-compatible cDNA libraries from RNA samples can be time-consuming and expensive, especially for bacterial mRNAs which lack poly(A)-tails that are often used to streamline this process for eukaryotic samples. Compared to the increasing throughput and decreasing cost of sequencing, library preparation has had limited advances. Here, we describe bacterial-multiplexed-seq (BaM-seq), an approach that enables simple barcoding of many bacterial RNA samples that decreases the time and cost of library preparation. We also present targeted-bacterial-multiplexed-seq (TBaM-seq) that allows for differential expression analysis of specific gene panels with over 100-fold enrichment in read coverage. In addition, we introduce the concept of transcriptome redistribution based on TBaM-seq that dramatically reduces the required sequencing depth while still allowing for quantification of both highly and lowly abundant transcripts. These methods accurately measure gene expression changes with high technical reproducibility and agreement with gold standard, lower throughput approaches. Together, use of these library preparation protocols allows for fast, affordable generation of sequencing libraries.</jats:p>en_US
dc.publisherOxford University Press (OUP)en_US
dc.relation.isversionof10.1093/nargab/lqad017en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceOxford University Pressen_US
dc.subjectApplied Mathematicsen_US
dc.subjectComputer Science Applicationsen_US
dc.subjectGeneticsen_US
dc.subjectMolecular Biologyen_US
dc.subjectStructural Biologyen_US
dc.titleBaM-seq and TBaM-seq, highly multiplexed and targeted RNA-seq protocols for rapid, low-cost library generation from bacterial samplesen_US
dc.typeArticleen_US
dc.identifier.citationJohnson, Grace E, Parker, Darren J, Lalanne, Jean-Benoit, Parker, Mirae L and Li, Gene-Wei. 2023. "BaM-seq and TBaM-seq, highly multiplexed and targeted RNA-seq protocols for rapid, low-cost library generation from bacterial samples." 5 (1).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physicsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.date.submission2023-03-10T18:06:06Z
mit.journal.volume5en_US
mit.journal.issue1en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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