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237 results for “trypanosoma”
Fig. 1 in Trypanosoma cruzi infection in mammals in Florida: New insight into the transmission of T. cruzi in the southeastern United States
Fig. 1. Sampling scheme for the multiscale spatial analysis depicting the sampled sites in Florida. In the state-wide map, green circles indicate a sampled area within the estimated distribution of Triatoma sanguisuga in Florida (gray shaded region) and red circles indicate a sampled site outside of this distribution. The inset depicts the paired site design (peridomestic = blue, sylvatic = green, nearest township to the sampled area = red diamonds, and the average distance of capture from the nearest inhabited household = site associated meter distance). The map was created using QGIS Geographic Information System version 3.22.5-Białowie˙za, htt p://qgis.osgeo.org. County layers map (TIGER/Line Shapefile, 2016, state, Florida, Current County Subdivision State-based) and city locations (TIGER/Line Shapefile, Current, State, Florida, Places) was accessed from the United States Census Bureau, https://catalog.data.gov/dataset. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Molecular identification of Trypanosoma theileri complex in Eurasian moose Alces alces (L.)
Fig. 2. Phylogenetic tree of Trypanosoma sp. 18S rRNA partial gene. Maximum-likelihood tree computed with the GTR + I + G model of sequence evolution. Trypanosoma sp. found in our study (haplotype H1 and H2 marked with red color) and downloaded from GenBank. Hosts were listed after GenBank numbers and country of origin. Numbers listed at nodes represent percent support for that node from 1000 bootstrap replicates. The ML tree has been rooted with sequences of Trypanosoma cyclops. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1. The trypanosomes from European moose. A, B in Molecular identification of Trypanosoma theileri complex in Eurasian moose Alces alces (L.)
Fig. 1. The trypanosomes from European moose. A, B. light microscope images; C. drawing scheme. Scale bar 10 μm.
Fig. 2 in Trypanosoma cruzi in domestic and wild mammals in the northeast region of Colombia
Fig. 2. Study area and detection of T. cruzi in domestic and wild mammals. Discrete typing units (DTUs): TcI (T cruzi I genotype), TcII (T cruzi II genotype), UK (unknown genotype).
Fig. 1 in Trypanosoma cruzi in domestic and wild mammals in the northeast region of Colombia
Fig. 1. Environmental characteristics of Villa Lucia village. a) Palms predominate in the vegetation; b) Crops and annexes adjacent to the house are present in the peridomicile.
Known and Predicted GPI-anchored proteins in Trypanosoma brucei
<p>This table is a list of proteins that are either known or predicted to be a GPI-anchored proteins in <em>Trypanosoma brucei</em>. </p>
Suppl. files to: Cellular and molecular targets of nucleotide-tagged trithiola-to-bridged arene ruthenium complexes in the protozoan para-sites Toxoplasma gondii and Trypanosoma brucei
<p>These are supplementary files for the manuscript entitled:</p> <p>Cellular and molecular targets of nucleotide-tagged trithiolato-bridged arene ruthenium complexes in the protozoan parasites <em>Toxoplasma gondii</em>and <em>Trypanosoma brucei</em></p> <p>submitted to International Journal of Molecular Sciences</p> <p>by: <strong>Nicoleta Anghel<sup>1¥</sup>, Joachim Müller<sup>1¥*</sup>, Mauro Serricchio<sup> 2</sup>, Jennifer Jelk <sup>2</sup>, Peter Bütikofer<sup>2</sup>, Ghalia Boubaker<sup>1</sup>, Dennis Imhof<sup>1</sup>, Jessica Ramseier<sup>1</sup>, Oksana Desiatkina<sup>3</sup>, Emilia Păunescu<sup>3</sup>, Sophie Braga-Lagache<sup>4</sup>, Manfred Heller<sup>4</sup>, Julien Furrer<sup>3</sup>, Andrew Hemphill<sup>1*</sup></strong></p>
Fig. 4 in Selenocysteine in Trypanosoma evansi: Identification of the Genes selb, selc, seld, pstk, seltryp and the Selenophosphate Synthetase Protein
Fig. 4. Detection and cellular localization of the SPS protein, encoded by the selD gene, in T. evansi. A) Detection of 43kDa SPS by western blot T. evansi cellular extracts blotted with an anti-SPS antibody. Lane 1 – Protein Ladder, Lane 2 – T. evansi total protein extract. B) Immunocytochemistry analysis on fixed T. evansi for the determination of SPS extranuclear cellular localization.
Fig. 3 in Selenocysteine in Trypanosoma evansi: Identification of the Genes selb, selc, seld, pstk, seltryp and the Selenophosphate Synthetase Protein
Fig. 3. Secondary structure of T. evansi tRNASec simulated with ARAGORN. Highlighted in red are the anticodon TCA and the elongated extra arm that are characteristic of the specific tRNA for selenocysteine.
Fig. 2 in Selenocysteine in Trypanosoma evansi: Identification of the Genes selb, selc, seld, pstk, seltryp and the Selenophosphate Synthetase Protein
Fig. 2. Molecular phylogenetic analysis by Maximum Likehood method generated in Mega 7 and Plotted in iTOL (Interactive Tree of Life). selD (red), selB (green), PSTK (purple), selTRYP (blue). Protein (gene) codes correspond to those described in Table 2.
Fig. 1 in Selenocysteine in Trypanosoma evansi: Identification of the Genes selb, selc, seld, pstk, seltryp and the Selenophosphate Synthetase Protein
Fig. 1. Detection of gene expression of the selenocysteine pathway in T. evansi. Numbers on the sides indicate molecular size in base pairs. Lanes marked as 1: Molecular-weight size marker (100bp lader Ludwig Biotecnologia- Brazil); Lanes marked as 2: PCR product. selD, selB and selTRYP amplicons ran in 1% agarose gels; selC and PSTK ran in 2% agarose gels. The gene amplified in each reaction is indicated on the bottom.
Signatures of hybridization in Trypanosoma brucei
Open the record for dataset details and reuse information.
Trypanosoma brucei bloodstream form tagging: Targeted subcellular protein localisation.
<p>Trypanosoma brucei bloodstream form tagging protein localisation data. Widefield epifluorescence microscope images of protein subcellular localisation in the bloodstream form life cycle stage of the unicellular eukaryotic pathogen Trypanosoma brucei by endogenous tagging with mNeonGreen (mNG). This master deposition includes a summary of the localisations, primer sequences and DOI indexing, provided in a directory structure analogous to the TrypTag genome-wide procyclic form project: <a href="https://doi.org/10.5281/zenodo.6862298">https://doi.org/10.5281/zenodo.6862298</a> It does not include any microscopy data, which are spread over multiple Zenodo DOIs. Instead, this deposition and the raw and processed data directories include an index to each DOI.</p> <p><strong>localisations.tsv</strong><br> Tab-delimited table, which can be opened in Excel, of localisation annotations for each gene tagged. Also includes primer sequences used, the 96 well plate in which tagging was carried out organised with one row per gene ID, with sets of columns for N and C terminal tagging.</p> <p><strong>geneselection.tsv</strong><br> Tab-delimited table of criteria used for gene selection for tagging. This includes presence/absence of a <em>Leishmania major </em>or <em>Trypanosoma cruzi </em>ortholog, localisation and signal intensity by procyclic form tagging (TrypTag) and upregulation at mRNA level.</p> <p><strong>id_doi_index.tsv</strong><br> Tab-delimited table listing all Trypanosoma brucei Lister 427 gene IDs, if tagging was attempted at the N or C terminus and, if so, the Zenodo DOI at which to find the microscopy data. To download data for a particular gene ID, find its entry in this table, go to the corresponding Zenodo DOI and download <plateid_date>.zip for the raw microscopy data or <plateid_date>_processed.zip for the processed microscopy data. In the latter, images are named by gene ID and tagged terminus.</p> <p><strong>plate_doi_index.tsv</strong><br> Tab-delimited table listing all 96 plates which were part of the targeted bloodstream form tagging project and the Zenodo DOI at which the data can be found. Downloading the data from all of these Zenodo DOIs gives the full microscopy dataset.</p> <p><strong>trypTag_BSF_master.zip</strong><br> Zip file containing the master directory structure for the targeted bloodstream form tagging project database. This contains all internal code which was used to build the bloodstream form tagging database from the raw microscopy data.</p> <p><strong>readme.docx</strong><br> Documentation on data access and rebuilding the database using trypTag_BSF_master.zip</p>
TrypTag: Genome-wide subcellular protein localisation in Trypanosoma brucei.
<p>TrypTag genome-wide protein localisation project data. Widefield epifluorescence microscope images of protein subcellular localisation in the unicellular eukaryotic pathogen <em>Trypanosoma brucei</em> by endogenous tagging with mNeonGreen (mNG). This master deposition includes a summary of the localisations, scripts, code and primer sequences used to build the TrypTag database, provided in the master directory structure. It does not include any microscopy data, which are spread over multiple Zenodo DOIs. Instead, this deposition and the raw and processed data directories include an index linking gene IDs to each Zenodo DOI. Data can also be browsed at <a href="http://tryptag.org/">TrypTag.org</a>.</p> <p>If you use this data resource please cite Billington <em>et al.</em> 2023 <em>Nature Microbiology </em>(<a href="https://doi.org/10.1038/s41564-022-01295-6">doi:10.1038/s41564-022-01295-6</a>). We recommend including this citation in the results or methods if TrypTag was used as part of a discovery process. If directly using TrypTag images, please also indicate in the figure legend or similar which images are from TrypTag. If carrying out a large-scale data analysis, please also cite this Zenodo deposition.</p> <p>Data can be mined via the cellular localization imaging or cellular component GO term searches at the genome database <a href="https://tritrypdb.org/">TriTrypDB.org</a> (part of <a href="https://veupathdb.org/">VEuPathDB</a>). If you do, please also <a href="https://tritrypdb.org/tritrypdb/app/static-content/about.html">cite</a> the genome database.</p> <p>You may also find the following papers informative: Dean <em>et al.</em> 2016 <em>Trends in Parasitology</em> (<a href="https://doi.org/10.1016/j.pt.2016.10.009">doi:10.1016/j.pt.2016.10.009</a>), which describes the original project aims and workflow. Halliday <em>et al.</em> 2019 <em>Molecular and Biochemical Parasitology</em> (<a href="https://doi.org/10.1016/j.molbiopara.2018.12.003">doi:10.1016/j.molbiopara.2018.12.003</a>), which describes the localisation ontology with example images and comparison to <em>Leishmania</em>.</p>
Data from: Quantitative PCR as a marker for preemptive therapy and its role in therapeutic control in Trypanosoma cruzi/HIV coinfection
<p><strong>Background: </strong><em>Trypanosoma cruzi</em> and HIV coinfection can evolve with depression of cellular immunity and increased parasitemia. We applied quantitative PCR (qPCR) as a marker for preemptive antiparasitic treatment to avoid fatal Chagas disease reactivation and analyzed the outcome of treated cases.</p> <p><strong>Methodology:</strong> This mixed cross-sectional and longitudinal study included 171 Chagas disease patients, 60 coinfected with HIV. Of these 60 patients, ten showed Chagas disease reactivation, confirmed by parasites identified in the blood, cerebrospinal fluid, or tissues, 12 exhibited high parasitemia but no reactivation, and 38 had low parasitemia and no reactivation.</p> <p><strong>Results</strong>: We showed, for the first time, the success of the timely introduction of benznidazole in the non-reactivated group with high levels of parasitemia detected by qPCR and the absence of parasites in reactivated cases with at least 58 days of benznidazole. HIV+ and HIV+ without reactivation had a 4.0 – 5.1 higher chance of having parasitemia than HIV seronegative cases. A positive correlation was found between parasite and viral loads. Remarkably, treated <em>T. cruzi/</em>HIV-coinfected patients had 77.3% conversion from positive to negative parasitemia compared to 19.1% of untreated patients. Additionally, untreated patients showed ~13.6 times higher odds of having positive parasitemia in the follow-up period compared with treated patients. Treated and untreated patients showed no differences regarding the evolution of Chagas disease. The main factors associated with all-cause mortality were higher parasitemia, lower CD4 counts/µL, higher viral load, and absence of antiretroviral therapy.</p> <p><strong>Conclusion</strong>: We recommend qPCR prospective monitoring of <em>T. cruzi</em> parasitemia in HIV+ patients and point out the value of pre-emptive therapy for patients with temporary high parasitemia. In parallel, an early antiretroviral therapy introduction is advisable, aiming at viral load control, immune response restoration, and major survival. We also suggest an earlier antiparasitic treatment for all coinfected patients, followed by effectiveness analysis alongside antiretroviral therapy.</p>
Figure 1 in Genetic structure of Trypanosoma congolense "forest type" circulating in domestic animals and tsetse flies in the South-West region of Cameroon
Figure 1. Allelic frequency at each locus by host.
Fig. 4 in First record of Trypanosoma infection in Mediterranean mouse (Mus macedonicus Petrov & Ružić, 1983) in Bulgaria
Fig. 4. Morphological characteristics of the adult trypomastigote form of Trypanosoma musculi.
Fig. 1 in The neglected diversity: Description and molecular characterisation of Trypanosoma haploblephari Yeld and Smit, 2006 from endemic catsharks (Scyliorhinidae) in South Africa, the first trypanosome sequence data from sharks globally
Fig. 1. Map of sampling sites on the south coast of South Africa.
Fig. 1 in Bartonella, Blechomonas and Trypanosoma in fleas from the long-tailed ground squirrel (Spermophilus undulatus) in northwestern China
Fig. 1. Map of northwestern China showing sampling sites and coordinates.
Current knowledge regarding Trypanosoma cruzi and Chagas disease in Mexico: a systematic review
<p><span>The aim of this review was to systematize, evaluate and synthesize original research specific to Mexico on <em>Trypanosoma</em> <em>cruzi</em>, the zoonosis, vectors (Triatominae: Hemiptera: Reduviidae), Chagas disease (CD) using PRISMA methodology. The evidence was identified through four search engines, selected using inclusion criteria, assigned to 13 topics, and evaluated using technical criteria. Of 1,410 records identified, 659 (46.7%) were chosen for technical evaluation, of which 221 (15.7%) were rated as the highest quality. PubMed contributed 95% of the records, while BibTri, Lilacs and Scielo contributed the remaining 5%. Publication rate was constant between 1950 and 1990, although there was an exponential increase from 1995 to 2020. Publication quality also increased from 5.3% of registries in 1990 to 49.8% in 2020. Systemic, economic, anthropological and social aspects of CD in Mexico were the topics least represented (8%). Despite the remarkable increase in knowledge generated in the last two decades in Mexico, this systematic review highlights the failure to incorporate academic expertise as well as civil society and existing evidence into care, prevention, and control of CD for public health policy in the country.</span></p>
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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)
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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.