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713 results for “H3”
Suppl. Information to "The tropical coral Pocillopora acuta displays an unusual chromatin structure and shows histone H3 clipping plasticity upon bleaching"
<p><strong>Supplementary File 1:</strong> Multiple alignment for protein sequences of core histones with Pocillopora acuta, Pocillopora damicornis, Acropora digitifera, Nematostella vectensis, Hydra vulgaris, Schistosoma mansoni and Mus musculus. A. Histone H2A; B. Histone H2B; C. Histone H3; D. Histone H4. An asterisk (*) means that the amino acid is conserved between all species.</p> <p><strong>Supplementary File 2</strong>: Original (uncropped and unedited) images used for Figures 1 to 4.</p> <p><strong>Supplementary File 3:</strong> <em>P. acuta</em> nuclei and <em>Symbiodinium</em> count on a Thoma cell counting chamber done over three different nuclei extractions. For each extraction, two counts were performed. P. acuta nuclei were stained with Hoechst 33342 and display a blue fluorescence at 350 nm. Symbiodinium are not damaged by our extraction method and are not permeable to Hoechst. They display a red fluorescence because of their chlorophyl content. Observations were done on a Leica DMLB with objective PL Fluotar 40x and 100x. A text version of the data in the Excel file below.</p> <p>Extraction #1 replicate 1: 102 <em>P. acuta</em> nuclei (Blue) ; 2 <em>Symbiodinium</em> (Red)<br> Extraction #1 replicate 2: 112 <em>P. acuta</em> nuclei (Blue) ; 2 <em>Symbiodinium</em> (Red)</p> <p>Extraction #1 replicate 1: 42 <em>P. acuta </em>nuclei (Blue) ; 0 <em>Symbiodinium</em> (Red)<br> Extraction #1 replicate 2: 55 <em>P. acuta </em>nuclei (Blue) ; 1 <em>Symbiodinium</em> (Red)</p> <p>Extraction #1 replicate 1: 215 <em>P. acuta </em>nuclei (Blue) ; 3 <em>Symbiodinium</em> (Red)<br> Extraction #1 replicate 2: 257 <em>P. acuta</em> nuclei (Blue) ; 5 <em>Symbiodinium</em> (Red)</p> <p>Made at IHPE.</p>
Text-fig. 6. Megamphicyon carnutense (ANTUNES et GINSBURG, 1977), from Tuchořice, the Czech Republic, lower teeth. a: NMPv 11708, left p4, a1 – occlusal view, a2 – buccal view, a3 – lingual view; b: NM-Pv 11709, left p4, b1 – occlusal view, b2 – buccal view, b3 – lingual view; c: NM-Pv 11710, left m1, c1 – lingual view, c2 – occlusal view, c3 – buccal view; d: NM-Pv 11711, left m1, d1 – lingual view, d2 – occlusal view, d3 – buccal view; e: NM-Pv 11747, left m1–m3, e1 – occlusal view, e2 – lingual view, e3 – buccal view; f: NM-Pv 11713, left m2, f1 – lingual view, f2 – occlusal view, f3 – buccal view; g: NM-Pv 11714, left m2, g1 – lingual view, g2 – occlusal view, g3 – buccal view; h: NM-Pv 11718, right m2, h1 – lingual view, h2 – occlusal view, h3 – buccal view, h4 – distal view; i: NM-Pv 11716, left m2 in occlusal view; j: NM-Pv 11717, left m2, j1 – occlusal view, j2 – buccal view; k: NMPv 11696, right m2–m3, k1 – lingual view, k2 – buccal view, k3 – occlusal view. in The Amphicyoninae (Amphicyonidae, Carnivora, Mammalia) Of The Early Miocene From Tuchořice, The Czech Republic
Text-fig. 6. Megamphicyon carnutense (ANTUNES et GINSBURG, 1977), from Tuchořice, the Czech Republic, lower teeth. a: NMPv 11708, left p4, a1 – occlusal view, a2 – buccal view, a3 – lingual view; b: NM-Pv 11709, left p4, b1 – occlusal view, b2 – buccal view, b3 – lingual view; c: NM-Pv 11710, left m1, c1 – lingual view, c2 – occlusal view, c3 – buccal view; d: NM-Pv 11711, left m1, d1 – lingual view, d2 – occlusal view, d3 – buccal view; e: NM-Pv 11747, left m1–m3, e1 – occlusal view, e2 – lingual view, e3 – buccal view; f: NM-Pv 11713, left m2, f1 – lingual view, f2 – occlusal view, f3 – buccal view; g: NM-Pv 11714, left m2, g1 – lingual view, g2 – occlusal view, g3 – buccal view; h: NM-Pv 11718, right m2, h1 – lingual view, h2 – occlusal view, h3 – buccal view, h4 – distal view; i: NM-Pv 11716, left m2 in occlusal view; j: NM-Pv 11717, left m2, j1 – occlusal view, j2 – buccal view; k: NMPv 11696, right m2–m3, k1 – lingual view, k2 – buccal view, k3 – occlusal view.
AbDb processed and pickled for use in deep learning CDR-H3 Structure prediction
<p>This is a pickle file, ready for training by the neural network described in "Improving CDR-H3 modelling in Antibodies" found at the following URL:</p> <p><a href="https://github.com/OniDaito/MRes">https://github.com/OniDaito/MRes</a></p> <p>The data is derived from the AbDb dataset found at:</p> <p><a href="http://www.bioinf.org.uk/abs/abdb/">http://www.bioinf.org.uk/abs/abdb/</a></p>
Text-fig. 11. Lower teeth of Masillamys mattaueri (HARTENBERGER) from Mas de Gimel (Hérault, France; MP 10, late early Eocene). a) MGL 641, left p4; a1 – occlusal view, a2 – buccal aspect, a3 – lingual aspect. b) MGL 220, right p4; b1 – occlusal view, b2 – buccal aspect, b3 – lingual aspect. c) MGL 233, right m1; c1 – occlusal view, c2 – buccal aspect, c3 – lingual aspect. d) MGL 665, right m1; d1 – occlusal view, d2 – buccal aspect, d3 – lingual aspect. e) MGL 225, holotype, right m2; e1 – occlusal view, e2 – buccal aspect, e3 – lingual aspect. f) MGL 222, left m1; f1 – lingual aspect, f2 – occlusal view, f3 – buccal aspect. g) MGL 231, right m2; g1 – occlusal view, g2 – buccal aspect, g3 – lingual aspect. h) MGL 646, left m3; h1 – buccal aspect, h2 – lingual aspect, h3 – occlusal view. i) MGL 619, right m3; i1 – buccal aspect, i2 – lingual aspect, i3 – occlusal view. Scale bar 1 mm. in A Reevaluation Of The Taxonomic Status Of The Rodent Masillamys Tobien, 1954 From Messel (Germany, Late Early To Early Middle Eocene, 48-47 M.Y.)
Text-fig. 11. Lower teeth of Masillamys mattaueri (HARTENBERGER) from Mas de Gimel (Hérault, France; MP 10, late early Eocene). a) MGL 641, left p4; a1 – occlusal view, a2 – buccal aspect, a3 – lingual aspect. b) MGL 220, right p4; b1 – occlusal view, b2 – buccal aspect, b3 – lingual aspect. c) MGL 233, right m1; c1 – occlusal view, c2 – buccal aspect, c3 – lingual aspect. d) MGL 665, right m1; d1 – occlusal view, d2 – buccal aspect, d3 – lingual aspect. e) MGL 225, holotype, right m2; e1 – occlusal view, e2 – buccal aspect, e3 – lingual aspect. f) MGL 222, left m1; f1 – lingual aspect, f2 – occlusal view, f3 – buccal aspect. g) MGL 231, right m2; g1 – occlusal view, g2 – buccal aspect, g3 – lingual aspect. h) MGL 646, left m3; h1 – buccal aspect, h2 – lingual aspect, h3 – occlusal view. i) MGL 619, right m3; i1 – buccal aspect, i2 – lingual aspect, i3 – occlusal view. Scale bar 1 mm.
Petroglyph H3 Khatm Al Melaha, Kalba, Sharjah
DStretch Version, Petroglyph H3 Khatm Al Melaha, Kalba, Sharjah. Anthropomorphic. Impossible to discern. We have little confidence in this drawing. [Fossati 2019 Messages from the Past: Rock Art of the Al-Hajar Mountains (Oman)]. Khatm Al Melaha is an archaeological site on the coast of the Oman Sea near Kalba in Sharjah, UAE. It is one of the largest rock art sites in the UAE. Over 175 stones with petroglyphs were documented and close to 400 motifs were identified. Every rock with a glyph was given an ID number and a GPS coordinate. In total 25455 terrestrial photographs, 5244 drone photographs, 44 drone videos, and 182 GPS points (+/- 1cm) were done in a single day. Petroglyphs were identified using Radiance Scaling in Meshlab, materials lighting in Substance Painter, and by changing conditions in Sketchfab. Some carvings were completely invisible when viewing. Drawings were done only when a line could be identified using one of these techniques. Reality Capture and DStretch Source: Objaverse 1.0 / Sketchfab
Total H3 acetylation in house sparrows
<p class="MsoNormal">Epigenetic mechanisms are increasingly understood to have major impacts across ecology. However, one molecular epigenetic mechanism, DNA methylation, currently dominates the literature. A second mechanism, histone modification, is likely important to ecologically relevant phenotypes and thus warrants investigation, especially because molecular interplay between methylation and histone acetylation can strongly affect gene expression. There are a limited number of histone acetylation studies on non-model organisms, yet those that exist show that it can impact gene expression and phenotypic plasticity. Wild birds provide an excellent system to investigate histone acetylation, as free-living individuals must rapidly adjust to environmental change. Here, we screen histone acetylation in the house sparrow (<em>Passer domesticus</em>); we studied this species because DNA methylation was important in the spread of this bird globally. This species has one of the broadest geographic distributions in the world, and part of this success is related to the way that it uses methylation to its gene expression. Here, we verify that a commercially available assay that was developed for mammals can be used in house sparrows. We detected high variance in histone acetylation among individuals in both liver and spleen tissue. Further, house sparrows with higher epigenetic potential in the <em>TLR-4</em> promoter (i.e., CpG content) had higher histone acetylation in liver. Also, there was a negative correlation between histone acetylation in spleen and <em>TLR-4 </em>expression. In addition to validating a method for measuring histone acetylation in wild songbirds, this study also shows that histone acetylation varies in an ecologically relevant way, adding a new study option for ecological epigenetics.</p>
Dataset: Measurements and simulations of rate coefficients for the deuterated forms of the H2+ + H2 and H3+ + H2 reactive systems at low temperature
<p>Raw measurement data and processign scripts used to produce the reaction rate results in the paper: "Measurements and simulations of rate coefficients for the<br>deuterated forms of the H2+ + H2 and H3+ + H2 reactive systems at low temperature" by Miguel Jiménez-Redondo, Olli Sipilä, Pavol Jusko, and Paola Caselli;</p> <p>DOI: <a href="https://doi.org/10.1051/0004-6361/202451757">10.1051/0004-6361/202451757</a></p>
Nepal Uber H3 level 6 database
<p>Database for characterization of sub national units for Nepal using Uber H3 level 6 hexagons. Data includes crop, livestock, population a well as climate data. H3 hexagons have unique identifiers that can be used to sum or average underlying data covered by area. As compared to square pixels, hexagons are better to fully cover a countries area. The lower the level used the better the fit.</p> <p>Data sources used:</p> <p>Livestock: FAO GLW (Cattle, Goats, Sheep, Chicken, Buffaloes) year 2015</p> <p>Population Meta for Good 2018</p> <p>Crops: IFPRI SPAM 2010 (</p> <p>Climate: Worldclim 2.1</p> <p>Elevation: SRTM CSI CGIAR</p> <table> <tbody> <tr> <td>buffalo2015</td> <td> </td> <td>Buffaloes</td> </tr> <tr> <td>cattle2015</td> <td> </td> <td>Cattle</td> </tr> <tr> <td>chicken2015</td> <td> </td> <td>Chicken</td> </tr> <tr> <td>sheep2015</td> <td> </td> <td>Sheep</td> </tr> <tr> <td>goats2015</td> <td> </td> <td>Goats</td> </tr> <tr> <td>hareabana</td> <td> </td> <td>banana area ha</td> </tr> <tr> <td>hareabanaplnt</td> <td> </td> <td>banana plantan area ha</td> </tr> <tr> <td>hareabarl</td> <td> </td> <td>barley area ha</td> </tr> <tr> <td>hareabean</td> <td> </td> <td>bean area ha</td> </tr> <tr> <td>hareachic</td> <td> </td> <td>chickpea area ha</td> </tr> <tr> <td>hareafoodcrp</td> <td> </td> <td>foodcrops area ha</td> </tr> <tr> <td>harealent</td> <td> </td> <td>lentil area ha</td> </tr> <tr> <td>hareamaiz</td> <td> </td> <td>maize area ha</td> </tr> <tr> <td>hareaocer</td> <td> </td> <td>other cereals area ha</td> </tr> <tr> <td>hareaopul</td> <td> </td> <td>other pulses area ha</td> </tr> <tr> <td>hareaorts</td> <td> </td> <td>other roots and tubers area ha</td> </tr> <tr> <td>hareapige</td> <td> </td> <td>pigeonpea area ha</td> </tr> <tr> <td>hareapota</td> <td> </td> <td>potato area ha</td> </tr> <tr> <td>harearice</td> <td> </td> <td>rice area ha</td> </tr> <tr> <td>hareasmil</td> <td> </td> <td>millet area ha</td> </tr> <tr> <td>hareasoyb</td> <td> </td> <td>soybean area ha</td> </tr> <tr> <td>hareawhea</td> <td> </td> <td>wheat area ha</td> </tr> <tr> <td>precann</td> <td> </td> <td>annual rainfall</td> </tr> <tr> <td>tmax_ann</td> <td> </td> <td>longterm annual tmax (1970-2000)</td> </tr> <tr> <td>tmin_ann</td> <td> </td> <td>longterm annual tmin (1970-2000)</td> </tr> <tr> <td>world250meter</td> <td> </td> <td>Elevation m a.b.s.l.</td> </tr> </tbody> </table> <p>Caveats:</p> <p>Hexagon size can be smaller than actual pixel size like SPAM, values can be lower or higher depending on location and pixel below. Use as indicator of importance not absolute value.</p> <p> </p>
Veliparib, Radiation Therapy, and Temozolomide in Treating Patients With Newly Diagnosed Malignant Glioma Without H3 K27M or BRAFV600 Mutations
ClinicalTrials.gov study NCT03581292. IPD Sharing: Not stated. Countries: 5. Publications: 1.
Phase I Study of Autologous CAR T-Cells Targeting the B7-H3 Antigen in Recurrent Epithelial Ovarian
ClinicalTrials.gov study NCT04670068. IPD Sharing: NO. Countries: 1. Publications: 1.
ONC201 in Adults With Recurrent H3 K27M-mutant Glioma
ClinicalTrials.gov study NCT03295396. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Total H3 acetylation in house sparrows
Open the record for dataset details and reuse information.
Supplementary data from: Assessing the structural boundaries of broadly reactive antibody interactions with diverse H3 influenza hemagglutinin proteins
Open the record for dataset details and reuse information.
FIGURE 3. Bayesian majority-rule consensus tree inferred from 16S and H3 in Revision of the genus Pseudopomatias and its relatives (Gastropoda: Cyclophoroidea: Pupinidae)
FIGURE 3. Bayesian majority-rule consensus tree inferred from 16S and H3 sequences. Posterior probability percentage estimates are indicated above branches. The scale bar represents the estimated number of nucleotide substitutions per site. The tree was rooted with Pomacea insularum (not indicated).
Mainz um 800, H3
Source: Objaverse 1.0 / Sketchfab
Figure 7. The maximum-likelihood phylogram for H3 in A case of biodiversity overestimation in the Balkan Belgrandiella A. J. Wagner, 1927 (Caenogastropoda: Hydrobiidae): molecular divergence not paralleled by high morphological variation
Figure 7. The maximum-likelihood phylogram for H3 haplotypes. Bootstrap support and Bayesian posterior probabilities are shown.
Figure 3 in Phylogenetic relationships in the genus Agathemera (Insecta: Phasmatodea) inferred from the genes 16S, COI and H3
Figure 3. Reconstruction of the ancestral states for the development of the mesonotal lobules obtained with the ML analysis: model MK1 superimposed on the phylogeny obtained with ML analysis of the three combined genes. An image of the mesonotal lobules are shown for each species, and the habitus of 'A. crassa' and 'A. mesoauriculae' is shown for clade 'A' and 'B', respectively.
Figure 2 in Phylogenetic relationships in the genus Agathemera (Insecta: Phasmatodea) inferred from the genes 16S, COI and H3
Figure 2. Phylogeny obtained by ML analysis of the markers 16S + COI + H3 used together. The shaded area represents the genus Agathemera and the boxes show lineages 'A' and 'B'. Over each node is the Bayesian a posterior probability and below the line are bootstrap estimations for ML/MP. Shaded boxes above nodes show partitioned Bremer support values; from top to bottom: 16S, COI, and H3.
Figure 1 in Phylogenetic relationships in the genus Agathemera (Insecta: Phasmatodea) inferred from the genes 16S, COI and H3
Figure 1. Distribution of the eight species of Agathemera in South America. Symbols signify collection localities; shaded areas indicate approximate ranges of distribution.
Figure 13. Maximum likelihood phylogram computed for H3 in Litthabitellidae: a new family of the Truncatelloidea (Mollusca: Caenogastropoda)
Figure 13. Maximum likelihood phylogram computed for H3 sequences; bootstrap support and Bayesian posterior probabilities are shown when bootstrap supports>65%.
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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.