Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

886

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

886 results for “immune infection”

Learn how ShareScore rates datasets ↗
zenodo48/100

Dataset of 'HIV infection is associated with compromised tumor microenvironment adaptive immune reactivity in Hodgkin Lymphoma'

<p><span><span>&sect;<span>&nbsp; </span></span></span><strong><span>:</span></strong><span>The data were generated using the i) GeoMx Digital Spatial Profiler (DSP) platform developed by Nanostring Technologies. GeoMx analysis utilizes&nbsp;<em>in situ </em>RNA hybridization with Whole Atlas Transcriptome probe (Nanostring) and ii) HTG platform (Immune Response kit) Our dataset comprises samples from donors categorized as HLposHIVnegEBVneg, HLposHIVposEBVpos, or HLposHIVnegEBVpos (HL: Hodgkin Lymphoma). Regions of interest (ROI) were spatially profiled to capture distinct molecular signatures associated with these donor categories.</span></p>

opencc-by-4.0Mar 2024View details →
zenodo48/100

Neutrophil and emergency granulopoietic drivers of sepsis immune suppression and an extreme response to infection

<p>The dysregulated host response to infection leading to organ dysfunction is highly heterogeneous. It is currently poorly delineated by sepsis as a clinical syndromic classification, thus confounding immunotherapy trials. Here we establish the pathophysiology and potential therapeutic targets of a specific extreme response to infection state (sepsis response signature SRS1), characterised by immune compromise and poor outcome. We first derive a whole blood single-cell multi-omic atlas of the sepsis response (2727,993 cells, n=39), finding an increase in IL1R2+ immature neutrophils in SRS1, which we confirmed by CyTOF and RNA-sequencing (n=53). We next uncovered high activity of neutrophil STAT3 gene expression programs in SRS1, which were shared across multiple infectioius disease settings (n=1044) irrespective of the clinical definition of the patient cohorts. We observed elevated plasma G-CSF and IL-6 in SRS1, suggesting heightened emergency granulopoiesis (EG). We therefore characterised patient and healthy control hematopoietic stem cells (HSCs) using single-cell RNA/chromatin accessibility multi-omics (29,366 cells, n=27), identifying SRS1-specific EG transcriptional skewing, together with STAT3 and EG master regulator CEBPB epigenetic signatures. Our findings establish a common cellular axis present across extreme responses to infection, reveal its hematopoietic origin, and nominate G-CSF and IL-6 as potential therapeutic targets for the SRS1 state.</p> <p>&nbsp;</p> <p>The present data deposit includes processed and quality-controlled data tables for:</p> <p>1. Whole blood leukocytes profiled with the BD Rhapsody platform in a cohort of 39 sepsis patients (RNA and protein count matrices, as well as their accompanying metadata table)</p> <p>2. Circulating HSCs in blood profiled with the 10X multiomics platform in a cohort of 27 sepsis patients (RNA and ATAC-seq count matrices, as well as their accompanying metadata tables)</p>

opencc-by-4.0Mar 2023View details →
zenodo44/100

Antagonism between viral infection and innate immunity at the single-cell level -- Immunostaining Imaging Dataset

<p>This dataset accompanies the article &quot;Antagonism between viral infection and innate immunity at the single-cell level&quot;, at the time of submission available as a <a href="https://doi.org/10.1101/2022.11.18.517110">preprint</a>.</p>

opencc-by-4.0Dec 2022View details →
dryad40/100

A model of within-host interactions between host resources, macroparasite infection and immune response

<p>This project was designed to mathematically investigate the of different host parasite-mitigation strategies on host condition. The R code herein comprises:</p> <ul> <li>An ODE model of within-host interactions between a macroparasite (e.g. helminth) infection, host resource levels and host immune response, and the consequent effects on host condition. In brief, resources are ingested and utilised by the host, leading to inceased condition. The host is infected by a parasite, which matures and establishes within the host; both age stages cause harm to the host, decreasing host condition. The presence of the parasite stimulates an immune response, which can either target larval or adult parasites (a resistance strategy), or ameliorate the harm they cause (a tolerance strategy). The host can also reduce resource intake in order to also reduce ingestion of parasite infective stages (an avoidance strategy). Resistance responses have an associated immunopathology, in that the immune response also harms the host.</li> <li>Code to plot model trajectories over time.</li> <li>Code to plot multiple trajectories as a heat map, in which the x-axis is time and the y-axis is a parameter representing the host investment in its parasite-mitigation strategy.</li> <li>Code to calculate the optimum host investment for each strategy, over various sets of parameter values, as determined by maximising mean host condition over a given timeframe, and to plot the output.</li> <li>The same are also provided for an ODE model in which the total immune response is allocated between the two resistance responses and tolerance (a combined strategy). The optimisation code optimises both the total investment in immune repsonse, and how much is allocated to the three different individual strategies.</li> </ul> <p>The model and results are described in detail in the associated manuscript. We also provide here the simulated datasets in which the optimum host investments were calculated over a range of different parameter values, as these take several hours to run on a standard desktop computer..</p>

opencc-zeroMay 2024View details →
zenodo40/100

Fig. 2 in Experimental evaluation of pathogenicity and acquired immunity of Eimeria species, E. uekii and E. raichoi, infecting Japanese rock ptarmigans in a subspecies of the birds

Fig. 2. The number of oocysts per gram of feces (OPG) after inoculation with E. uekii and E. raichoi oocysts. Panels A and B show E. uekii and E. raichoi OPG, respectively. Chicks Nos. 1–3 were inoculated depending on the manner of oocysts E. uekii and E. raichoi as described at the bottom of Figure, and mouse no. 4 was inoculated with oocysts of E. raichoi.

opencc-by-4.0Dec 2023View details →
zenodo40/100

Fig. 1 in Experimental evaluation of pathogenicity and acquired immunity of Eimeria species, E. uekii and E. raichoi, infecting Japanese rock ptarmigans in a subspecies of the birds

Fig. 1. Weight gain of Svalbard rock ptarmigans after inoculation with E. uekii and E. raichoi oocysts. The inoculation doses of E. uekii and E. raichoi were 4 104 and × 17 103 or 4 103 (A), 2 104 and 8 103 (B), 4 103 and 17 or 4 102 (C), and 4 102 and 17 or 4 101 (D), respectively. Group E was administered PBS as a × × × × × × × × control, and group F was inoculated with 4 104 oocysts of E. raichoi that had been passed in turkeys. "n" indicates the numbers of examined chicks.

opencc-by-4.0Dec 2023View details →
zenodo40/100

Fig. 5 in Experimental evaluation of pathogenicity and acquired immunity of Eimeria species, E. uekii and E. raichoi, infecting Japanese rock ptarmigans in a subspecies of the birds

Fig. 5. Histopathological photomicrographs of sections of the intestines of challenged chicks. Panels A and B show the ileum and duodenum of the primary inoculated chick at 7 days PI, respectively. Panels C and D show the ileum and colon of a non-inoculated chick at 7 days PI, respectively. Arrows indicate developmental zoites (sexual stages in panels C and D). Scale bars are 20 μm in panels A and C and 50 μm in panels B and D.

opencc-by-4.0Dec 2023View details →
zenodo40/100

Fig. 4 in Experimental evaluation of pathogenicity and acquired immunity of Eimeria species, E. uekii and E. raichoi, infecting Japanese rock ptarmigans in a subspecies of the birds

Fig. 4. Weight gain of Svalbard rock ptarmigans after challenge inoculation. Panels A and B show the weight of control (PBS) and primary inoculated chicks, respectively. Two-direction arrows indicate the period of challenge inoculation, 4 104 E. uekii and 2 103 E. raichoi for 5 days.

opencc-by-4.0Dec 2023View details →
zenodo40/100

Fig. 3 in Experimental evaluation of pathogenicity and acquired immunity of Eimeria species, E. uekii and E. raichoi, infecting Japanese rock ptarmigans in a subspecies of the birds

Fig. 3. Histopathological photomicrographs of sections from an experimentally inoculated chick (Svalbard rock ptarmigan). Panel A shows the ileum of the chick at 4 days PI after inoculation with 4 × 104 E. uekii and 2 × 103 E. raichoi oocysts. Panel B is a higher magnification of the section. Arrows indicate developmental zoites or mature schizonts (in panel B). Scale bars in panels A and B are 20 μm and 50 μm, respectively.

opencc-by-4.0Dec 2023View details →
zenodo40/100

Data for milk immune factors/nutrients and infection

<p><span>Data for milk immune factors/nutrients and infection</span></p> <p><span><span>&nbsp;</span></span></p> <p><span>Important</span><span> Information</span></p> <p><span>This file (Milk_immune_factors-nutrients&amp;infection_data) contains the dataset used for the journal article manuscript entitled, "</span><span>Lactose in human milk is associated with lower rates of infection during a drought" </span><span>by Fujita and Wander.</span><span> This</span><span> manuscript is under review for publication as of August, 2024. The variables and data are found under the data tab, and the data coding information in the info &amp; code tab. </span></p> <p>&nbsp;</p> <p><span>Please contact Masako Fujita (ORCID 0000-0001-9173-6678, E-mail masakof@msu.edu) for questions regarding the data.</span></p> <p>&nbsp;</p> <p><span>Condition for data use</span><span>: Please cite DOI: </span><span>10.5281/zenodo.13377353 </span><span>for this data file and the article, and acknowledge the support from the grant agencies listed below: </span></p> <p>&nbsp;</p> <p><span>Data source/article:</span></p> <ul> <li><span><span>&nbsp;</span>Fujita M</span><span>. 2024. Data for milk immune factors/nutrients and infection. DOI:<span>&nbsp; </span></span><span>10.5281/zenodo.13377353</span><span>.</span></li> <li><span><span>&nbsp;</span>Fujita M, Wander K</span><span>. [Year] </span><span>Lactose in human milk is associated with lower rates of infection during a drought. [Journal name, article DOI].</span></li> </ul> <p>&nbsp;</p> <p><span>Grant support:</span></p> <ul> <li><span>National Science Foundation (BCS-0622358, BCS-1638167) </span></li> <li><span>Wenner</span><span>-</span><span>Gren Foundation (Gr. 7460, Gr. 9278) </span></li> </ul>

opencc-by-4.0Aug 2024View details →
zenodo40/100

Hepatic transcriptomic analysis reveals differential regulation of metabolic and immune pathways in three strains of chickens with distinct growth rate exposed to mixed parasites infections

<p><span>This dataset was generated from the study investigating hepatic gene expression in three strains of chickens: Ross-308 (R), Lohmann Brown Plus (LB), and Lohmann Dual (LD), 2 weeks after either an experimental infection (n = 18) with both <em>A. galli</em> and <em>H. gallinarum or kept as uninfected control (n = 12)</em>. </span></p>

opencc-by-4.0Aug 2024View details →
dryad40/100

A simulated natural heatwave perturbs bumble bee immunity and resistance to infection

<p><span>As a consequence of ongoing climate change, heatwaves are predicted to increase in frequency, intensity, and duration in many regions. Such extreme events can shift organisms from thermal optima for physiology and behavior, with the thermal stress hypothesis predicting reduced performance at temperatures where the maintenance of biological functions is energetically costly. Performance includes the ability to resist biotic stressors, such as infectious diseases. Climate change is a proposed threat to native bee pollinators, directly and through indirect effects on floral resources, but the thermal stress hypothesis, particularly pertaining to disease resistance, has received limited attention. We exposed adult <em>Bombus impatiens</em> bumble bee workers to simulated, ecologically relevant heatwave or control thermal regimes and assessed longevity, immunity, and resistance to concurrent or future parasite infections. We demonstrate that survival and induced antibacterial immunity are reduced following heatwaves. Supporting that heatwave exposure compromised immunity, the cost of immune activation by a non-pathogenic elicitor was thermal regime dependent, with costs to long-term survival in control but not heatwave exposed bees. However, in the face of real infections, an inability to mount an optimal immune response will be detrimental, which was reflected by higher infections from trypanosome parasite exposure following the heatwave, relative to the control regime. These results demonstrate interactions between heatwave exposure and bumble bee performance, including immune and infection outcomes. Thus, the health of bumble bee pollinator populations may be affected through altered interactions with parasites and pathogens, in addition to other effects of extreme manifestations of climate change.</span></p>

opencc-zeroAug 2023View details →
zenodo40/100

Malaria drives unique regulatory responses across multiple immune cells during human infection

<p>To investigate malaria driven transcriptional changes in specific immune cell subsets, we sorted live PBMCs from 6 malaria infected donors (day 0), and two subsequent time points after drug treatment (day 7 and 28), along with PBMCs from 2 healthy controls. We performed scRNAseq of these cells, and used clustering and sub-clustering to identify specific immune cell subsets. Differential gene analysis between day 0 and day 28 was performed for each cell cluster and sub-cluster. Key transcriptional changes were confirmed at the protein level with additional donor samples.</p>

opencc-by-4.0Sep 2023View details →
dryad40/100

A model of within-host interactions between host resources, macroparasite infection and immune response

Open the record for dataset details and reuse information.

publicMay 2024View details →
dryad40/100

A simulated natural heatwave perturbs bumble bee immunity and resistance to infection

Open the record for dataset details and reuse information.

publicAug 2023View details →
dryad36/100

Data from: Single cell RNA-seq analysis reveals that prenatal arsenic exposure results in long-term, adverse effects on immune gene expression in response to Influenza A infection

<p>Arsenic exposure via drinking water is a serious environmental health concern. Epidemiological studies suggest a strong association between prenatal<i> </i>arsenic exposure and subsequent childhood respiratory infections, as well as morbidity from respiratory diseases in adulthood, long after systemic clearance of arsenic.<i> </i>We investigated the impact of exclusive prenatal arsenic exposure on the inflammatory immune response and respiratory health after an adult influenza A (IAV) lung infection. C57BL/6J mice were exposed to 100 ppb sodium arsenite<i> in utero,</i> and subsequently infected with IAV (H1N1) after maturation to adulthood. Assessment of lung tissue and bronchoalveolar lavage fluid (BALF) at various time points post IAV infection reveals greater lung damage and inflammation in arsenic exposed mice versus control mice. Single-cell RNA sequencing analysis of immune cells harvested from IAV infected lungs suggests that the enhanced inflammatory response is mediated by dysregulation of innate immune function of monocyte derived macrophages, neutrophils, NK cells, and alveolar macrophages. Our results suggest that prenatal arsenic exposure results in lasting effects on the adult host innate immune response to IAV infection, long after exposure to arsenic, leading to greater immunopathology. This study provides the first direct evidence that exclusive prenatal exposure to arsenic in drinking water causes predisposition to a hyperinflammatory response to IAV infection in adult mice, which is associated with significant lung damage.</p>

opencc-zeroMay 2020View details →
dryad36/100

Prior exposure to long day photoperiods alters immune responses and increases susceptibility to parasitic infection in stickleback

<p>Seasonal disease and parasitic infection are common across organisms, including humans, and there is increasing evidence for intrinsic seasonal variation in immune systems. Changes are orchestrated through organisms' physiological clocks using cues such as day length. Ample research in diverse taxa has demonstrated multiple immune responses are modulated by photoperiod, but to date, there have been few experimental demonstrations that photoperiod cues alter susceptibility to infection. We investigated the interactions among photoperiod history, immunity, and susceptibility in laboratory-bred three-spined stickleback, a long-day breeding fish, and its external, directly-reproducing, monogenean parasite <i>Gyrodactylus gasterostei</i>. We demonstrate that previous exposure to long day photoperiods (PLD) increases susceptibility to infection relative to previous exposure to short days (PSD), and modifies the response to infection for the mucin gene <i>muc2</i> and Treg cytokine <i>foxp3a</i> in skin tissues in an intermediate 12L:12D photoperiod experimental trial. Expression of skin <i>muc2</i> is reduced in PLD fish, and negatively associated with parasite abundance. We also observe inflammatory gene expression variation associated with natural inter-population variation in resistance, but find that photoperiod modulation of susceptibility is consistent across host populations. Thus, photoperiod-modulation of the response to infection is important for host susceptibility, highlighting new mechanisms affecting seasonality of host-parasite interactions.</p>

opencc-zeroNov 2020View details →
dryad36/100

Data from: Immune stability predicts tuberculosis infection risk in a wild mammal

Immunity is one of the most variable phenotypic traits in animals; however, some individuals may show less fluctuation in immune traits, resulting in stable patterns of immune variation over time. It is currently unknown whether immune variation has consequences for infectious disease risk. In this study, we identified moderately stable immune traits in wild African buffalo and asked whether the stability of these traits affected bovine tuberculosis (TB) infection risk. We found that adaptive immune traits such as the level of IFN-γ released after white blood cell stimulation, the number of circulating lymphocytes, and the level of antibodies against bovine adenovirus-3 were moderately repeatable (i.e. stable) over time, whereas parameters related to innate immunity either had low repeatability (circulating eosinophil numbers) or were not repeatable (e.g. neutrophil numbers, plasma bacteria killing capacity). Intriguingly, individuals with more repeatable IFN-γ and lymphocyte levels were at a significantly higher risk of acquiring TB infection. In stark contrast, average IFN-γ and lymphocyte levels were poor predictors of TB risk, indicating that immune variability rather than absolute response level better captured variation in disease susceptibility. This work highlights the important and under-appreciated role of immune variability as a predictor of infection risk.

opencc-zeroSep 2019View details →
dryad36/100

Data from: Risk alleles for tuberculosis infection associate with reduced immune reactivity in a wild mammalian host

Integrating biological processes across scales remains a central challenge in disease ecology. Genetic variation drives differences in host immune responses, which, along with environmental factors, generates temporal and spatial infection patterns in natural populations that epidemiologists seek to predict and control. However, genetics and immunology are typically studied in model systems, whereas population-level patterns of infection status and susceptibility are uniquely observable in nature. Despite obvious causal connections, organizational scales from genes to host outcomes to population patterns are rarely linked explicitly. Here we identify two loci near genes involved in macrophage (phagocyte) activation and pathogen degradation that additively increase risk of bovine tuberculosis infection by up to 9-fold in wild African buffalo. Furthermore, we observe genotype-specific variation in IL-12 production indicative of variation in macrophage activation. Here we provide measurable differences in infection resistance at multiple scales by characterizing the genetic and inflammatory variation driving patterns of infection in a wild mammal.

opencc-zeroJun 2019View details →
zenodo36/100

PINK1 deficiency rewires early immune responses in a mouse model of Parkinson's disease triggered by intestinal infection

<p>Parkinson&rsquo;s disease is characterized by a period of non-motor symptoms, including gastrointestinal dysfunction, preceding motor deficits by decades. This long prodrome is suggestive of peripheral immunity involvement in the initiation of disease. We previously developed a model system in PINK1 KO mice displaying PD-like motor symptoms at late stages following intestinal infections. Herein, we map the initiating immune events at the site of infection in this model. Using single-cell RNAseq, we demonstrate that peripheral myeloid cells are the earliest highly dysregulated immune cell type in PINK1 KO infected mice followed by an aberrant T cell response shortly after. We elucidate an increased propensity for antigen presentation mediated by myeloid-CD8+ T cell interaction. PINK1 KO activated myeloid cells acquire a proinflammatory profile inducing cytotoxic T cell responses. Together, our study provides the first evidence that PINK1 is a key regulator of immune functions in the gut underlying early PD-related disease mechanisms.</p>

opencc-by-4.0Jul 2024View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated datasets

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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record