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183
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Dataset results
183 results for “infection dynamics”
The SaeRS two-component system dynamically regulates cellular adhesion and invasion during group B Streptococcus infection
GEO Series GSE269249. Streptococcus agalactiae. 12 samples. Type: Expression profiling by high throughput sequencing.
scnasRNA-seq resolves in vivo single-cell RNA dynamics of immune cells during Salmonella infection
GEO Series GSE279651. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Data from: Expression of parasite genetic variation changes over the course of infection: implications of within-host dynamics for the evolution of virulence
How infectious disease agents interact with their host changes during the course of infection and can alter the expression of disease-related traits. Yet by measuring parasite life-history traits at one or few moments during infection, studies have overlooked the impact of variable parasite growth trajectories on disease evolution. Here we show that infection-age-specific estimates of host and parasite fitness components can reveal new insight into the evolution of parasites. We do so by characterizing the within-host dynamics over an entire infection period for five genotypes of the castrating bacterial parasite Pasteuria ramosa infecting the crustacean Daphnia magna. Our results reveal that genetic variation for parasite-induced gigantism, host castration and parasite spore loads increases with the age of infection. Driving these patterns appears to be variation in how well the parasite maintains control of host reproduction late in the infection process. We discuss the evolutionary consequences of this finding with regard to natural selection acting on different ages of infection and the mechanism underlying the maintenance of castration efficiency. Our results highlight how elucidating within-host dynamics can shed light on the selective forces that shape infection strategies and the evolution of virulence.
Figure 5 from: Atanasov P, Ivanova S, Kobakova Y, Moneva-Sakelarieva M, Obreshkova D, Petkova V, Laleva-Jordanova P (2022) Immunogenesis in patients with medium and severe coronavirus infection – dynamics in different age groups. Pharmacia 69(1): 157-165. https://doi.org/10.3897/pharmacia.69.e81063
Figure 5 Immunogenesis in patients aged 46–65 years.
Figure 1 from: Atanasov P, Ivanova S, Kobakova Y, Moneva-Sakelarieva M, Obreshkova D, Petkova V, Laleva-Jordanova P (2022) Immunogenesis in patients with medium and severe coronavirus infection – dynamics in different age groups. Pharmacia 69(1): 157-165. https://doi.org/10.3897/pharmacia.69.e81063
Figure 1 Distribution of patients by age.
Figure 7 from: Atanasov P, Ivanova S, Kobakova Y, Moneva-Sakelarieva M, Obreshkova D, Petkova V, Laleva-Jordanova P (2022) Immunogenesis in patients with medium and severe coronavirus infection – dynamics in different age groups. Pharmacia 69(1): 157-165. https://doi.org/10.3897/pharmacia.69.e81063
Figure 7 Immunogenesis in patients aged over 80 years.
Figure 4 from: Atanasov P, Ivanova S, Kobakova Y, Moneva-Sakelarieva M, Obreshkova D, Petkova V, Laleva-Jordanova P (2022) Immunogenesis in patients with medium and severe coronavirus infection – dynamics in different age groups. Pharmacia 69(1): 157-165. https://doi.org/10.3897/pharmacia.69.e81063
Figure 4 Anti-SARS-CoV2 – Total Quantity.
Figure 3 from: Atanasov P, Ivanova S, Kobakova Y, Moneva-Sakelarieva M, Obreshkova D, Petkova V, Laleva-Jordanova P (2022) Immunogenesis in patients with medium and severe coronavirus infection – dynamics in different age groups. Pharmacia 69(1): 157-165. https://doi.org/10.3897/pharmacia.69.e81063
Figure 3 ANTI-SARS CoV2-lgG Quantity.
Figure 6 from: Atanasov P, Ivanova S, Kobakova Y, Moneva-Sakelarieva M, Obreshkova D, Petkova V, Laleva-Jordanova P (2022) Immunogenesis in patients with medium and severe coronavirus infection – dynamics in different age groups. Pharmacia 69(1): 157-165. https://doi.org/10.3897/pharmacia.69.e81063
Figure 6 Immunogenesis in patients aged 66–80 years.
Figure 2 from: Atanasov P, Ivanova S, Kobakova Y, Moneva-Sakelarieva M, Obreshkova D, Petkova V, Laleva-Jordanova P (2022) Immunogenesis in patients with medium and severe coronavirus infection – dynamics in different age groups. Pharmacia 69(1): 157-165. https://doi.org/10.3897/pharmacia.69.e81063
Figure 2 Immunogenesis in patients between 18 and 45 years of age for one year.
Accurate Staging of Immuno-virological Dynamics During Acute HIV Infection
ClinicalTrials.gov study NCT03449706. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
The Dynamic Fluctuation of Donor Microbiota Affects the Prognosis of Fecal Microbiota Transplantation for C. Difficile Infection
ClinicalTrials.gov study NCT05703477. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Immune Dynamics in the Natural History of Chronic HBV Infection
ClinicalTrials.gov study NCT07137247. IPD Sharing: NO. Countries: 1. Publications: 0.
Dynamics of Markers of Infection and Inflammation in Hospitalized Coronavirus Disease 2019 (COVID-19) Patients
ClinicalTrials.gov study NCT04887623. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
The Predictive Value of Dynamic Changes of CD4+T Lymphocytes in Primary Nephrotic Syndrome With Infection
ClinicalTrials.gov study NCT05623033. IPD Sharing: NO. Countries: 1. Publications: 0.
P. Falciparum Infection Dynamics and Transmission to Inform Elimination
ClinicalTrials.gov study NCT04053907. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
A Study of Autonomic Dynamic Dysfunction to Predict Infections After Spinal Cord Injury.
ClinicalTrials.gov study NCT03253952. IPD Sharing: Not stated. Countries: 1. Publications: 0.
CARE-ID: Dynamics of Respiratory Infections in Children and Transmission in Households and Schools
ClinicalTrials.gov study NCT06640387. IPD Sharing: YES. Countries: 1. Publications: 0.
Single cell transcriptional dynamics of flavivirus infection
GEO Series GSE110496. Homo sapiens. 2260 samples. Type: Expression profiling by high throughput sequencing.
The dynamics of Cryptococcus neoformans cell and transcriptional remodeling during infection
GEO Series GSE206758. Cryptococcus neoformans; Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.