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SRX8242037: GSM4511884: active_KR71; Macaca mulatta; RNA-Seq
1 ILLUMINA (Illumina NovaSeq 6000) run: 378.8M spots, 47.7G bases, 13.7Gb downloads

Submitted by: NCBI (GEO)
Study: Defining the tuberculosis lung landscape during disease and latency using single cell technologies
show Abstracthide Abstract
Tuberculosis (TB), caused by the bacterium Mycobacterium tuberculosis (Mtb), infects approximately one-fourth of the world's population. The majority of infected persons are asymptomatic, but latent TB infection (LTBI) can progress to active clinical disease in 5-10% of infected individuals. The immune mechanisms that govern progression from latent to active pulmonary TB (PTB) remain poorly defined. An in-depth understanding of immune factors correlating with TB disease, as well as protection during TB, is necessary for developing new immunotherapies to promote immune control of Mtb. Experimentally Mtb-infected non-human primates (NHP) mirror the disease progression and pathology observed in humans and can recapitulate both PTB and LTBI. In the present study, we have characterized the lung immune landscape in NHPs with LTBI and PTB using high-throughput technologies including single-cell RNA sequencing (scRNA-seq) and Time of flight cytometry (CyTOF). We show that the three defining features of PTB in macaque lungs are the influx of plasmacytoid DCs (pDCs), an Interferon (IFN)-exhibiting alveolar macrophage population and predominant activated T cell responses. These features contribute to uncontrolled inflammation and disease without mediating Mtb control. In contrast, a CD27+ Natural killer (NK) cell subset accumulated in the lungs of LTBI macaques and in circulation in individuals with LTBI, thus providing novel insights into the protective lung landscape that functions during TB latency. A comprehensive understanding of the lung immune landscape as described here will improve our overall understanding of TB disease immunopathogenesis and provide novel targets for design of new therapies and vaccines for TB control. Overall design: To delineate the lung landscape at a high resolution at the single cell level, we performed 10X scRNA-seq on dematricized single cells that underwent CD45+ enrichment from the lungs of uninfected (control, n=3), PTB (n=5) and LTBI (n=3) macaques.
Sample: active_KR71
SAMN14816280 • SRS6591673 • All experiments • All runs
Organism: Macaca mulatta
Library:
Instrument: Illumina NovaSeq 6000
Strategy: RNA-Seq
Source: TRANSCRIPTOMIC
Selection: cDNA
Layout: PAIRED
Construction protocol: At necropsy lung tissues were collected and digested with DNase I and Liberase at 37ºC for 30-45 mins. Digested lung tissue was gently dispersed by passage through a 70 μm pore size nylon tissue strainer (Falcon; BD Biosciences); the resultant single-cell suspension was treated with ACK lysis buffer to remove any residual RBC, washed twice, and counted, as previously described (Foreman et al., 2016; Gautam et al., 2018; Kaushal et al., 2015; Kuroda et al., 2018; Mehra et al., 2015). Cells prepared in this way were stored at -70ºC and then used for downstream processing of scRNA-seq. scRNA-seq was done according to the manufacturer instructions (10X genomics). Briefly, after quickly thawing the frozen lung single cell suspension in water bath, 2X106 cells were taken for downstream processing. Cell suspensions were enriched for CD45 by using NHP CD45-microbeads according to the manufacturer instruction (Milteny Biotec). After then, CD45+ enriched lung single cell suspensions were subjected to droplet-based massively parallel single-cell RNA sequencing using Chromium Single Cell 3' (v3) Reagent Kit in the BSL-3 level laboratory as per manufacturer's instructions (10x Genomics). Briefly, cell suspensions were loaded at 1,000 cells/μL with the aim to capture 10,000 cells/lane. The 10x Chromium Controller generated GEM droplets, where each cell was labeled with a specific barcode, and each transcript labeled with a unique molecular identifier (UMI) during reverse transcription. The barcoded cDNA was isolated and removed from the BSL-3 space for library generation. The cDNA underwent 11 cycles of amplification, followed by fragmentation, end repair, A-tailing, adapter ligation, and sample index PCR as per the manufacturer's instructions. Libraries were sequenced on a NovaSeq S4 (200 cycle) flow cell, targeting 50,000 read pairs/cell.
Experiment attributes:
GEO Accession: GSM4511884
Links:
Runs: 1 run, 378.8M spots, 47.7G bases, 13.7Gb
Run# of Spots# of BasesSizePublished
SRR11681181378,759,81347.7G13.7Gb2020-12-23

ID:
10743660

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