Proceedings of the National Academy of Sciences · 2018 · 288 citations · 45 references
Life SciencesMicrobiologyMolecular BiologyBacteriologyMicrobial PathogenesisTranscriptomicsAntibacterial ResistanceAntibiotic ResistanceAntibiotic Resistance MechanismsBacterial PathogenesisMicrobial TranscriptomicsQuorum SensingAntibiotic Resistance GenesBacterial Antibiotic Resistance PhysiologyPseudomonas Aeruginosa Resistance
Significance Microbiologists typically use laboratory systems to study the bacteria that infect humans. Over time, this has created a gap between what researchers understand about bacteria growing in the laboratory and those growing in humans. It is well-known that the behavior of bacteria is shaped by their environment, but how this behavior differs in laboratory models compared with human infections is poorly understood. We compared transcription data from a variety of human infections with data from a range of in vitro samples. We found important differences in expression of genes involved in antibiotic resistance, cell–cell communication, and metabolism. Understanding the bacterial expression patterns in human patients is a necessary step toward improved therapy and the development of more accurate laboratory models.
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Fast gapped-read alignment with Bowtie 2
Ben Langmead, Steven L. Salzberg · Nature Methods · 2012 · 61.1K citations
Cutadapt removes adapter sequences from high-throughput sequencing reads
Marcel Martin · EMBnet journal · 2011 · 35.8K citations · Full text