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549 results for “rRNA”

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16S rRNA Sequencing Data of Fecal Microbiota in an Italian Cohort of Patients with CDKL5 Deficiency Disorder

<h3>Summary of the study&nbsp;</h3> <p>CDKL5 deficiency disorder (CDD) is a neurodevelopmental condition characterized by global developmental delay, early-onset seizures, intellectual disability, visual and motor impairments, distinct from Rett Syndrome (RTT) due to the absence of a clear regression period. Gastrointestinal (GI) disturbances and signs of subclinical immune dysregulation are common in CDD patients, yet the underlying causes are unknown. Recent studies hint at a possible link between neurological disorders and gut microbiota, an unexplored area in CDD. In this groundbreaking study, we examined fecal microbiota in CDD patients and their healthy relatives, revealing differences in bacterial diversity and composition. We further investigated microbiota changes based on various factors, including the severity of GI issues, seizure frequency, sleep disorders, food intake type, neuro-behavioral features (assessed through the RTT Behaviour Questionnaire &ndash; RSBQ), and ambulation capacity.&nbsp;</p> <p>Our findings suggest a potential connection between CDD, microbiota, and symptom severity. This study represents the first exploration of the gut-microbiota-brain axis in CDD patients, contributing to the growing body of research on the role of gut microbiota in neurodevelopmental disorders. It opens doors to potential interventions targeting intestinal microbes to enhance the well-being of individuals with CDD.</p> <h3>Mehods</h3> <p>The Dataset represent the raw data (.fastq) obtained from the sequencing of the fecal samples from 17 Italian Patients with CDD, and 17 Healthy Relatives (i.e. siblings or mother), collected at a single time-point.</p> <p>Samples from Patients affected by CDD are called CDD, samples from Healthy Relatives are called HC-CDD (i.e. healthy controls of patients affected by CDD). For details about the sample names see the &ldquo;Explanation Table&rdquo;.</p> <p>Bacterial DNA was extracted from fecal samples using the QIAmp Powerfexal DNA Kit (Qiagen, Germany) following the manufacturer's protocol. The 16S rRNA sequencing and analysis was performed by a service offered by Zymo Research (Germany).</p> <p><em>Targeted Library Preparation</em>: The DNA samples were prepared for targeted sequencing with the Quick-16S&trade; NGS Library Prep Kit (Zymo Research). The primer sets used were Quick-16S&trade; Primer Set V3-V4 (Zymo Research). The sequencing library was prepared using an innovative library preparation process in which PCR reactions were performed in real-time PCR machines to control cycles and therefore limit PCR chimera formation. The final PCR products were quantified with qPCR fluorescence readings and pooled together based on equal molarity. The final pooled library was cleaned up with the Select-a-Size DNA Clean &amp; Concentrator&trade;, then quantified with TapeStation&reg; (Agilent Technologies, Santa Clara, CA) and Qubit&reg; (Thermo Fisher Scientific, Waltham, WA).&nbsp;&nbsp;</p> <p><em>Sequencing:</em> The final library was sequenced on Illumina&reg; MiSeq&trade; with a v3 reagent kit (600 cycles).&nbsp;</p>

opencc-by-4.0Jan 2024View details →
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The processed clean data of 16S rRNA V4 amplicon sequecnces for the six stage of phenolic microbiome domestication

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2024View details →
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Bacteria and archaea of the Columbia and Willamette Rivers, 16S rRNA gene amplicon library metadata

<p>Bacterial and archaeal communities in the Columbia and Willamette Rivers in the Portland, OR, USA, region were characterized by 16S rRNA gene amplicon sequencing as part of the Lewis &amp; Clark College spring 2022 Microbial Ecology course. Whole-water (&gt;0.2 &micro;m) samples were collected from: the Willamette River; the Columbia River above the confluence with the Willamette; and the Columbia River just downstream of the confluence with the Willamette.</p> <p>This dataset provides additional metadata to supplement the DNA sequences archived with the NCBI SRA at&nbsp;<a href="https://www.ncbi.nlm.nih.gov/sra/PRJNA865380">https://www.ncbi.nlm.nih.gov/sra/PRJNA865380</a></p>

opencc-by-4.0Aug 2022View details →
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Tara Pacific 16S rRNA ASV table for bacterial communities of crustose coralline algae from the Tuamotu archipelago (French Polynesia)

<p>This data is the result of the primary analysis of the 16S rRNA gene sequencing data collected from the CCA samples collected&nbsp; during the Tara Pacific expedition. The analysis was conducted using cutadapt/snakemake/dada2 and usearch. A full README is contained within the parent data upload (<a href="https://doi.org/10.5281/zenodo.4451892">https://doi.org/10.5281/zenodo.4451892</a>).</p>

opencc-by-4.0May 2024View details →
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Figure 6 in A new mite species Fagacarus absalom sp. n. (Astigmata: Acaridae) from the Eastern Palearctic, with 18 rRNA molecular barcodes

Figure 6 Fagacarus absalom sp. n., female (A), male (B) and heteromorphic deutonymph (C–E), DIC photomicrographs: A, B – gnathosoma (arrows point to the filter apparatus); C – dorsal view; D – ventral view; E – dorsal setaed1 ande1.

opencc-by-4.0Apr 2024View details →
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Figure 5 in A new mite species Fagacarus absalom sp. n. (Astigmata: Acaridae) from the Eastern Palearctic, with 18 rRNA molecular barcodes

Figure 5 Fagacarus absalom sp. n., heteromorphic deutonymph: A – leg I, dorsal view; B – tarsus I, ventral view; C – leg II, dorsal view; D – tarsus II, ventral view; E – leg III, ventral view; F – leg IV, ventral view; G – anal disk.

opencc-by-4.0Apr 2024View details →
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Figure 3 in A new mite species Fagacarus absalom sp. n. (Astigmata: Acaridae) from the Eastern Palearctic, with 18 rRNA molecular barcodes

Figure 3 Fagacarus absalom sp. n., female (B, C) and male (A, D, E): A – chelicera; B – gnathosoma, ventral view; C – spermatheca; D – genital capsule.

opencc-by-4.0Apr 2024View details →
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Figure 2 in A new mite species Fagacarus absalom sp. n. (Astigmata: Acaridae) from the Eastern Palearctic, with 18 rRNA molecular barcodes

Figure 2 Fagacarus absalom sp. n., female (A–H) and male (I, J): A–D – legs I–IV, posterior (I, II) and anterior (III, IV) views; E–H – tarsus I–IV, anterior (I, II) and posteror (III, IV) views; I – leg IV, anterior view; J – tarsus IV, posterior view.

opencc-by-4.0Apr 2024View details →
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Figure 1 in A new mite species Fagacarus absalom sp. n. (Astigmata: Acaridae) from the Eastern Palearctic, with 18 rRNA molecular barcodes

Figure 1 Fagacarus absalom sp. n., female (A, B) and male (C, D): A, C – ventral view; B, D – dorsal view.

opencc-by-4.0Apr 2024View details →
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Fig. 4 in MITOCHONDRIAL 16S AND 12S rRNA SEQUENCE ANALYSIS IN FOUR SALMONID SPECIES FROM ROMANIA

Fig. 4. Majority with bootstrap support consensus trees for combined data (16S rRNA and 12S rRNA). (a) Combined data Neighbor Joining tree, distance model Kimura 2 Parameters, transition/transversion ratio 2.3; (b) combined data Maximum Parsimony tree; (c) combined data Maxi-

opencc-by-4.0Aug 2011View details →
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Fig. 3. Majority with bootstrap support consensus trees for 12S in MITOCHONDRIAL 16S AND 12S rRNA SEQUENCE ANALYSIS IN FOUR SALMONID SPECIES FROM ROMANIA

Fig. 3. Majority with bootstrap support consensus trees for 12S rRNA. (a) 12S rRNA Maximum Parsimony tree; (b) 12S rRNA Neighbor Joining tree, distance model Kimura 2 Parameters, transi-

opencc-by-4.0Aug 2011View details →
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Fig. 2. Majority with bootstrap support consensus trees for 16S in MITOCHONDRIAL 16S AND 12S rRNA SEQUENCE ANALYSIS IN FOUR SALMONID SPECIES FROM ROMANIA

Fig. 2. Majority with bootstrap support consensus trees for 16S rRNA. (a) 16S rRNA Neighbor Joining tree, distance model Kimura 2 Parameters, transition/transversion ratio 2.3; (b) 16S rRNA Maximum Parsimony tree; (c) 16S rRNA Maximum Likelihood tree

opencc-by-4.0Aug 2011View details →
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Fig. 5 in Morphological and Morphogenetic Redescriptions and SSU rRNA Gene-based Phylogeny of the Poorly-known Species Euplotes amieti Dragesco, 1970 (Ciliophora, Euplotida)

Fig. 5. Phylogenetic tree based on SSU rRNA gene sequences, showing the position of Euplotes amieti (arrow) by Maximum Likelihood (ML) and Bayesian inference (BI). Numbers near branches denote ML bootstrap value/BI posterior probability value. '–' indicates topologies that differ between the ML and BI phylogenies. Fully supported (100%/1.00) branches are marked with solid circles. All branches are drawn to scale. The scale bar corresponds to 5 substitutions per 100 nucleotide positions. GenBank accession numbers are given for each species. Systematic classification is mainly according to Lynn (2008). Euplotid clades I–VI were designated according to Yi et al. (2009).

opencc-by-4.0Dec 2015View details →
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Fig. 1. Euplotes amieti Dragesco, 1970 in Morphological and Morphogenetic Redescriptions and SSU rRNA Gene-based Phylogeny of the Poorly-known Species Euplotes amieti Dragesco, 1970 (Ciliophora, Euplotida)

Fig. 1. Euplotes amieti Dragesco, 1970 in vivo (A), after protargol (B–D) and silver nitrate (E, F) impregnation. (A) Ventral view of a representative cell. Arrows indicate caudal cirri. (B) Different shapes of macronucleus. (C, D) Ventral (C) and dorsal (D) view, showing the infraciliature and nuclear apparatus. Arrow shows the sigmoidal adoral zone. (E, F) Silverline system on ventral (E) and dorsal side (F). Arrow shows the sigmoidal adoral zone. AZM, adoral zone of membranelles; CC, caudal cirri; CVP, contractile vacuole pore; FVC, frontoventral cirri; MC, marginal cirri; PM, paroral membrane; TC, transverse cirri. Scale bars: 100 μm.

opencc-by-4.0Dec 2015View details →
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Fig. 4 in Morphological and Morphogenetic Redescriptions and SSU rRNA Gene-based Phylogeny of the Poorly-known Species Euplotes amieti Dragesco, 1970 (Ciliophora, Euplotida)

Fig. 4. Photomicrographs of Euplotes amieti during morphogenesis after protargol impregnation. (A) Ventral view of a middle divider showing the migration of cirri and the division of the macronucleus. (B, C) Ventral view of an early divider demonstrating two sets of frontal-ventral-transverse cirral streaks (arrowheads) and the oral primordium in opisthe (arrow). (D) To show new cirri derived from the frontal-ventral-transverse cirral anlagen. (E) Ventral view, arrows point to the paroral membrane (PM) in the proter and the development of the PM-anlage in the opisthe; arrowhead indicates the frontal cirrus I/1 in the opisthe formed de novo. (F) Ventral view, indicating the marginal anlagen of the proter (arrow) and the opisthe (arrowhead). (G) Arrowheads showing the dorsal kinety anlage of an early divider. (H) Portion of the ventral view, showing the marginal cirri in the proter (arrow) and the opisthe (arrowhead). (I) Dorsal view, arrowheads indicating the development of the dorsal kinety anlage. (J) Portion of the dorsal view, to show the newly formed caudal cirri in the proter (arrowheads). Scale bars: 100 μm.

opencc-by-4.0Dec 2015View details →
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Fig. 3 in Morphological and Morphogenetic Redescriptions and SSU rRNA Gene-based Phylogeny of the Poorly-known Species Euplotes amieti Dragesco, 1970 (Ciliophora, Euplotida)

Fig. 3. Morphogenesis of Euplotes amieti after protargol impregnation. (A, B) Ventral (A) and dorsal (B) view of the same specimen at an early stage to show the five frontal-ventral-transverse cirral streaks and oral primordium within which membranelles are forming (arrow). (C, D) Ventral (C) and dorsal (D) view of the same specimen at a middle stage to show the completion of the cirral formation, the differen- tiation of caudal cirri at posterior ends of the two rightmost dorsal anlagen (arrowheads), the de novo formation of the new marginal cirri and the frontal cirrus I/1 in both proter and opisthe (arrows). (E, F) Ventral (E) and dorsal (F) view, showing the migration of newly formed cirri and the development of dorsal kineties, arrowheads show the marginal cirri. (G, H) Ventral (G) and dorsal (H) side of the same divider at a late stage showing infraciliature and nuclear apparatus. Scale bars: A–D = 100 μm; E–H = 150 μm.

opencc-by-4.0Dec 2015View details →
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Fig. 9 in Constraints on Phylogenetic Interrelationships among Four Free-living Litostomatean Lineages Inferred from 18S rRNA gene-ITS Region sequences and Secondary Structure of the ITS2 molecule

Fig. 9. Evolutionary hypothesis of interrelationships among the four free-living litostomatean lineages studied. This scenario was suggested on the basis of morphology and the consensus secondary structure of the ITS2 molecules. CK – circumoral kinety, DB – dorsal brush, OB – oral bulge, OO – oral bulge opening, P – proboscis, PE – perioral kinety, PR – preoral kineties, SK – somatic kineties.

opencc-by-4.0Dec 2017View details →
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Fig. 5 in Constraints on Phylogenetic Interrelationships among Four Free-living Litostomatean Lineages Inferred from 18S rRNA gene-ITS Region sequences and Secondary Structure of the ITS2 molecule

Fig. 5. Quartet likelihood-mapping showing distribution of phylogenetic signal in the 18S-A and the CON-1 alignment for three possible relationships among the four main free-living litostomatean lineages studied. The corners of the triangles show the percentage of fully resolved trees, i.e., phylogenetically informative signal. The rectangular areas show the percentage of trees that are in conflict. The central triangle shows the percentage of unresolved star-like trees, i.e., phylogenetically uninformative signal. Coding of free-living litostomatean lineages: H – Haptorida, P – Pleurostomatida, R – Rhynchostomatia, S – Spathidiida.

opencc-by-4.0Dec 2017View details →
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Fig. 4 in Constraints on Phylogenetic Interrelationships among Four Free-living Litostomatean Lineages Inferred from 18S rRNA gene-ITS Region sequences and Secondary Structure of the ITS2 molecule

Fig. 4. Super-network of 66 free-living litostomatean taxa constructed from 80 randomly selected post-burn-in trees from the Bayesian inference of the 18S-A–D, ITSR-C and ITSR-D as well as the CON-1 and CON-2 alignments. The super-network was constructed in the program SplitsTree, using the Z-closure option, tree size weighted mean, ten runs, and the refined heuristic technique. For details on taxa and characteristics of the alignments analyzed, see Supplementary Table S1 and S2.

opencc-by-4.0Dec 2017View details →
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Fig. 3 in Constraints on Phylogenetic Interrelationships among Four Free-living Litostomatean Lineages Inferred from 18S rRNA gene-ITS Region sequences and Secondary Structure of the ITS2 molecule

Fig. 3. Phylogeny based on the 18S rRNA gene and the ITS1-5.8S-ITS2 region of 56 free-living litostomatean taxa (alignment CON-1). Posterior probabilities for the Bayesian inference and bootstrap values for maximum likelihood were mapped onto the 50% majority rule ML tree. Dashes indicate posterior probabilities below 0.50 and ML bootstrap values below 50%. The scale bar indicates five substitutions per ten nucleotide positions. For details on taxa, evolutionary model used, and characteristics of the CON-1 alignment, see Supplementary Table S1 and S2.

opencc-by-4.0Dec 2017View details →

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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.

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