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520
datasets available to search
ShareScore release 0.9.0
Dataset results
520 results for “Host interactions”
The mechanism of promoting proliferation of rumen epithelial cells in Tan sheep by adding succinate to the diet based on the interaction between rumen microbiota and host.
GEO Series GSE233696. Ovis aries. 12 samples. Type: Expression profiling by high throughput sequencing.
Dual-transcriptomic analysis of human nasal transcriptome and microbiome reveals host-bacteria interactions associated with symptomatic respiratory infection
GEO Series GSE309135. Homo sapiens. 202 samples. Type: Expression profiling by high throughput sequencing; Other.
Response of barley roots during the non-host interaction with the plasmodiophorid virus vector Polymyxa betae
GEO Series GSE17240. Hordeum vulgare. 6 samples. Type: Expression profiling by array.
The microbiome buffers tadpole hosts from the deleterious effects of heat stress: a hologenomic approach to understand host-microbe interactions under warming conditions.
GEO Series GSE208646. Lithobates clamitans. 20 samples. Type: Expression profiling by high throughput sequencing.
Dual RNA sequencing of Helicobacter pylori and host cell transcriptomes reveals ontologically distinct host-pathogen interaction
GEO Series GSE243405. Helicobacter pylori; Homo sapiens. 21 samples. Type: Expression profiling by high throughput sequencing.
Dual RNA-sequencing of macrophages infected with Mycobacterium avium reveals host-pathogen interaction in the context of clarithromycin treatment
GEO Series GSE213117. Mycobacterium avium subsp. hominissuis. 6 samples. Type: Expression profiling by high throughput sequencing.
Response of barley roots during the host interaction with the plasmodiophorid virus vector Polymyxa graminis
GEO Series GSE17238. Hordeum vulgare. 6 samples. Type: Expression profiling by array.
High Resolution Spatial Mapping of Microbiome-Host Interactions via in situ Polyadenylation and Spatial RNA Sequencing [Ileum, without in situ Polyadenylation]
GEO Series GSE277196. Mus musculus. 1 samples. Type: Other.
Genes expressed in salivary glands and gut of Hessian fly larvae are likely involved in interactions with host plants
GEO Series GSE18414. Mayetiola destructor. 26 samples. Type: Expression profiling by array.
High Resolution Spatial Mapping of Microbiome-Host Interactions via in situ Polyadenylation and Spatial RNA Sequencing
GEO Series GSE276866. Mus musculus. 8 samples. Type: Other.
High Resolution Spatial Mapping of Microbiome-Host Interactions via in situ Polyadenylation and Spatial RNA Sequencing [Spatial transcriptomics]
GEO Series GSE316608. Mus musculus. 3 samples. Type: Other.
Supplementary materials for "The importance of biological variables in SDMs of species with strict interactions: a case study with a hairworm and its hosts"
<p>Species distribution model (SDM) has conventionally been based mainly on abiotic factors, i.e., temperature and precipitation variables. Although recent studies have shown that incorporating biotic factors may improve the model performance, only few empirical studies could effectively incorporate biotic factors in SDMs. Here we used a parasite and host system to investigate whether incorporating biotic information can improve SDM. Specifically, SDM of the parasite based on hosts’ distributions can be helpful because the distribution of the parasite may depend on the dispersal ability of the hosts. We evaluated the most important layer, including the SDMs of its three hosts, for predicting the distribution of the parasitic horsehair worm <em>Chordodes formosanus</em>.<br> We retrieved presence points for three host species and the parasite. We first built the three hosts’ SDMs. We subsequently built SDMs for the parasite with MaxEnt implemented in ENMeval by using bioclim variables (chosen according to VIF values) and the aforementioned host SDMs built at 30 seconds scale. In addition, we evaluated niche overlap among hosts and parasite according to five similarity indices (Schoener’s D, I statistic, relative rank, Pearson correlation coefficient and the rank correlation coefficient rho).<br> According to percentage and permutation importance, the presence of the Taiwanese giant mantis, <em>Titanodula formosana</em>, was the main variable that explained the distribution of <em>C. formosanus</em>. In addition, habitat suitability models showed high similarity between hosts and the parasite, according to niche overlap estimations.<br> Accounting for biological interaction is critical for SDM as shown here that the distribution of the main final host effectively predicts the distribution of the parasite. Additionally, SDMs can be helpful to prioritize host sampling and by consequence parasite sampling, too. SDMs are reliable tools for host and parasite conservation management and it is hoped their use will help to improve biological and ecological knowledge of parasites.</p>
High Resolution Spatial Mapping of Microbiome-Host Interactions via in situ Polyadenylation and Spatial RNA Sequencing (Stereoseq)
GEO Series GSE308507. Mus musculus. 5 samples. Type: Other.
The LsrB protein is required for Agrobacterium tumefaciens interaction with host plants
GEO Series GSE108845. Agrobacterium fabrum str. C58. 2 samples. Type: Expression profiling by high throughput sequencing.
Modelling host-Trypanosoma brucei gambiense interactions in vitro using human induced pluripotent stem cell-derived cortical brain organoids
GEO Series GSE220766. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Tumor-Host Signaling Interaction Reveals a Systemic, Age-Dependent Splenic Immune Influence on Tumor Development
GEO Series GSE73451. Mus musculus. 72 samples. Type: Expression profiling by array.
Host-pathogen interactions in human polyomavirus 7 (HPyV7)-associated skin disease
GEO Series GSE148169. Homo sapiens. 7 samples. Type: Expression profiling by high throughput sequencing.
Heat disrupts host-parasitoid interactions mediated by a viral symbiont
GEO Series GSE273477. Manduca sexta. 93 samples. Type: Expression profiling by high throughput sequencing.
Semiochemical interaction between Aulacophora foeveicollis and host plant Cucurbita maxima
<p>File entitled "Raw data Female_final olf bioassay" and " Raw data male_final olf bioassay" demonstrates the datasheet regarding the Olfactometric Bioassay analysis of male and female <em>Aulacophora foeveicollis. </em>File entitled "Raw data male female AF" showcases the datasheet for EAG experiment of <em>Aulacophora foeveicollis.</em></p>
Data from: Parasite have variable effects on the outcomes of host species interactions
<p>Despite the ubiquitous nature of parasitism, the general effects of how parasitism alters the outcome of host species interactions such as competition, mutualism, predation, and reproduction remain unknown. Using a meta-analysis of 178 studies, we examined how the outcomes of diverse species interactions differed between parasitized and non-parasitized hosts. We also evaluated how the effects of parasitism on species interactions varied geographically with latitude. Overall, parasitism had relatively large deleterious effects on the outcome of host species interactions. However, there was considerable variation among interactions in these outcomes, with reproduction severely negatively affected, marginal effects on competition, and muted effects on predation – the latter results emanating because of the surprising tendency of parasitism to frequently reduce the effects of competition and predation. The effects of parasites did not differ between macro- and microparasites, nor did the shared evolutionary histories of hosts and parasites have an effect. Parasites had detrimental effects on the outcomes of species interactions near the equator, but more variable effects at temperate and higher latitudes. These results highlight the need to better understand how parasitism can affect the multitude of complex species interactions that structure biological communities.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research 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.
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.