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Mycobacterium avium subsp. paratuberculosis ATCC 19698

ABSTRACT: Mycobacterium avium subsp. paratuberculosis ATCC 19698 genome sequencing

PROVIDER: PRJNA71483 | ENA |

REPOSITORIES: ENA

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			Action	DRS
		Other
	AGAR01.dat.gz	Other
	AGAR01.fasta.gz	Fasta.gz
	AGAR01.master.dat	Other

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Data-dependent acquisition based proteomic analysis of Mycobacterium avium subsp. paratuberculosis ATCC 19698

Project description:Detection of species-specific proteotypic peptides for accurate and easy characterization of infectious non-tuberculous mycobacteria such as Mycobacterium avium subsp. paratuberculosis is essential. Therefore, we conducted an in-depth global proteomic experiment using M. avium subsp. paratuberculosis ATCC 19698 (Map) strain followed by proteome database search and spectral library generation. The lysate was subjected to in-solution proteomic sample preparation and fractionated using an offline C18 StageTip. Each fraction was acquired in technical triplicates using a 180 min data-dependent acquisition (DDA) method in Orbitrap Fusion Tribrid (Thermo Scientific) mass spectrometer. The resulting raw DDA data were searched against the M. avium subsp. paratuberculosis proteome database using Proteome Discoverer and FragPipe. The resulting peptide spectrum matches were converted into a spectral library using BiblioSpec.

2024-03-07 | PXD040589 | Pride

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Global host transcriptional profiles following Mycobacterium avium subsp. paratuberculosis infection in mice

Project description:We focused on how Mycobacterium avium subsp. paratuberculosis influences the subsequent host response to investigate the host immunopathology accompanying the host anti-mycobacterial immune response during Mycobacterium avium subsp. paratuberculosis infection in spleen of mice. We analyzed altered transcription in the spleen of mice at 3, 6, and 12 weeks following Mycobacterium avium subsp. paratuberculosis infection.

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Exploring transcriptional regulation of Mycobacterium avium subsp. paratuberculosis after human THP-1 cell infection via dual RNA-seq analysis

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