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208 results for “gene enrichment”
16S rRNA gene data for aerobic BTEX-degrading enrichments exposed to sulfonamide polyfluorinated substances in fire-fighting foams and transformation products
<p>Per- and polyfluoroalkyl substances (PFASs) from aqueous film forming foams (AFFFs) can hinder bioremediation of co-contaminants, such as trichloroethene (TCE) and benzene, toluene, ethylbenzene, and xylene (BTEX). Anaerobic dechlorination can require bioaugmentation of <em>Dehalococcoides</em> and for BTEX, oxygen is often sparged to stimulate in-situ aerobic biodegradation. We tested PFAS inhibition to TCE and BTEX bioremediation by exposing an anaerobic TCE-dechlorinating co-culture, an aerobic BTEX-degrading enrichment culture, and an anaerobic toluene-degrading enrichment culture to n-dimethyl perfluorohexane sulfonamido amine (AmPr-FHxSA), perfluorohexane sulfonamide (FHxSA), perfluorohexane sulfonic acid (PFHxS), or non-fluorinated surfactant sodium dodecyl sulfate (SDS). The anaerobic TCE-dechlorinating co-culture was resistant to individual PFASs exposures but was inhibited by >1,000x diluted AFFF. FHxSA and AmPr-FHxSA inhibited the aerobic BTEX-degrading enrichment. The anaerobic toluene-degrading enrichment was not inhibited by AFFF or individual PFASs. Increases in amino acids in the anaerobic TCE-dechlorinating co-culture compared to the control indicated stress response, while the BTEX culture exhibited lower concentrations of all amino acids upon exposure to most surfactants (both fluorinated and non-fluorinated) compared to the control. These data suggest the main mechanisms of microbial toxicity are related to interactions with cell membrane synthesis as well as protein stress signaling.</p>
S1_The_differentially_expressed_genes_enriched_in_GO_clusters
<p>This is supporting information to the article <em>Downregulation of ammonium uptake improves the growth and tolerance of Kluyveromyces marxianus at high temperature</em>, which has been submitted to <em>MicrobiologyOpen</em>.</p>
Genes with differential expression across ancestries are enriched in ancestry-specific disease effects likely due to gene-by-environment interactions
<p>This repository contains raw data, preprocessing scripts, and analysis code to replicate S-LDXR analysis from Wang et al.</p> <p>The project directory is organized as follows:<br>- `compute_de.r`: The script to compute anc-de genes<br>- `create_annot.100kb.sh`: code to create annotations for S-LDXR<br>- `create_annot.r`: R function used to create annotations for S-LDXR<br>- `DEstats.tgz`: Differential gene expression statistics between EAS and EUR for each 7 main cell types + PCs of each cell within each cell type<br>- `list_genes.txt`: Gene list as QCed as in Gazal et al. 2022 Nat Genet<br>- `Lupus_study_adjusted_compressed.h5ad.gz`: The single-cell dataset of Perez*, Gordon*, Subramaniam* et al. 2022 Science used in this study<br>- `README.sh`: This README file<br>- `sldxr_annotations.tgz`: Main S-LDXR annotations used in this study<br>- `sldxr_ref_files.tgz`: S-LDXR reference files (baseline-LD-X annotations, regression weights and EAS and EUR 1000G genotype reference files)<br>- `sumstats.tgz`: GWAS summary statistics of 31 traits in EAS and EUR populations<br>- `code_figures.tgz`: Code files for main figures</p>
Data from: Using targeted enrichment of nuclear genes to increase phylogenetic resolution in the neotropical rain forest genus Inga (Leguminosae: Mimosoideae)
Evolutionary radiations are prominent and pervasive across many plant lineages in diverse geographical and ecological settings; in neotropical rainforests there is growing evidence suggesting that a significant fraction of species richness is the result of recent radiations. Understanding the evolutionary trajectories and mechanisms underlying these radiations demands much greater phylogenetic resolution than is currently available for these groups. The neotropical tree genus Inga (Leguminosae) is a good example, with ~300 extant species and a crown age of 2-10 MY, yet over 6kb of plastid and nuclear DNA sequence data gives only poor phylogenetic resolution among species. Here we explore the use of larger-scale nuclear gene data obtained though targeted enrichment to increase phylogenetic resolution within Inga. Transcriptome data from three Inga species were used to select 264 nuclear loci for targeted enrichment and sequencing. Following quality control to remove probable paralogs from these sequence data, the final dataset comprised 259,313 bases from 194 loci for 24 accessions representing 22 Inga species and an outgroup (Zygia). Bayesian phylogenies reconstructed using either all loci concatenated or a subset of 60 loci in a gene-tree/species-tree approach yielded highly resolved phylogenies. We used coalescent approaches to show that the same targeted enrichment data also have significant power to discriminate among alternative within-species population histories in the widespread species I. umbellifera. In either application, targeted enrichment simplifies the informatics challenge of identifying orthologous loci associated with de novo genome sequencing. We conclude that targeted enrichment provides the large volumes of phylogenetically-informative sequence data required to resolve relationships within recent plant species radiations, both at the species level and for within-species phylogeographic studies.
Safety and Efficacy of Gene Therapy of the Sickle Cell Disease by Transplantation of an Autologous CD34+ Enriched Cell Fraction That Contains CD34+ Cells Transduced ex Vivo With the GLOBE1 Lentiviral
ClinicalTrials.gov study NCT03964792. IPD Sharing: Not stated. Countries: 1. Publications: 1.
16S rRNA gene data for aerobic BTEX-degrading enrichments exposed to sulfonamide polyfluorinated substances in fire-fighting foams and transformation products
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Data from: Targeted gene enrichment and high-throughput sequencing for environmental biomonitoring: a case study using freshwater macroinvertebrates
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Data from: Using targeted enrichment of nuclear genes to increase phylogenetic resolution in the neotropical rain forest genus Inga (Leguminosae: Mimosoideae)
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A phylogenomic perspective on gene tree conflict and character evolution in Caprifoliaceae using target enrichment data, with Zabelioideae recognized as a new subfamily
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Data from: Schneider et al. (2020). Phylogenomics of the tropical plant family Ochnaceae using targeted enrichment of nuclear genes and 250+ taxa. Taxon.
<p>DNA sequence alignments with all loci concatenated (e.g., "Alignment_concatenated_xxx_dataset") or for each locus separated (see folders "Gene_alignments_xxx_dataset"). The individual gene alignments are identified by their locus number. Numbers in the sequence headers of the fasta files correspond to the Lab IDs of specimens (see related publication for detailed voucher information). These alignments were used for the phylogenetic analyses in the related publication. The bait set contains the probe sequences used for the targeted enrichment of nuclear loci of Ochnaceae.</p>
Data from: Pan-genome dynamics of Pseudomonas gene complements enriched across hexachlorocyclohexane dumpsite
Background: Phylogenetic heterogeneity across Pseudomonas genus is complemented by its diverse genome architecture enriched by accessory genetic elements (plasmids, transposons, and integrons) conferring resistance across this genus. Here, we sequenced a stress tolerant genotype i.e. Pseudomonas sp. strain RL isolated from a hexachlorocyclohexane (HCH) contaminated pond (45 mg of total HCH g−1 sediment) and further compared its gene repertoire with 17 reference ecotypes belonging to P. stutzeri, P. mendocina, P. aeruginosa, P. psychrotolerans and P. denitrificans, representing metabolically diverse ecosystems (i.e. marine, clinical, and soil/sludge). Metagenomic data from HCH contaminated pond sediment and similar HCH contaminated sites were further used to analyze the pan-genome dynamics of Pseudomonas genotypes enriched across increasing HCH gradient. Results: Although strain RL demonstrated clear species demarcation (ANI ≤ 80.03%) from the rest of its phylogenetic relatives, it was found to be closest to P. stutzeri clade which was further complemented functionally. Comparative functional analysis elucidated strain specific enrichment of metabolic pathways like α-linoleic acid degradation and carbazole degradation in Pseudomonas sp. strain RL and P. stutzeri XLDN-R, respectively. Composition based methods (%codon bias and %G + C difference) further highlighted the significance of horizontal gene transfer (HGT) in evolution of nitrogen metabolism, two-component system (TCS) and methionine metabolism across the Pseudomonas genomes used in this study. An intact mobile class-I integron (3,552 bp) with a captured gene cassette encoding for dihydrofolate reductase (dhfra1) was detected in strain RL, distinctly demarcated from other integron harboring species (i.e. P. aeruginosa, P. stutzeri, and P. putida). Mobility of this integron was confirmed by its association with Tnp21-like transposon (95% identity) suggesting stress specific mobilization across HCH contaminated sites. Metagenomics data from pond sediment and recently surveyed HCH adulterated soils revealed the in situ enrichment of integron associated transposase gene (TnpA6100) across increasing HCH contamination (0.7 to 450 mg HCH g−1 of soil). Conclusions: Unlocking the potential of comparative genomics supplemented with metagenomics, we have attempted to resolve the environment and strain specific demarcations across 18 Pseudomonas gene complements. Pan-genome analyses of these strains indicate at astoundingly diverse metabolic strategies and provide genetic basis for the cosmopolitan existence of this taxon.
Table S2: Gene set enrichment analysis and KEGG
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Gene Ontology Enrichment Analysis of High and Moderate Impact SNPs and InDels in CHMX_Ch1 and QO Genomes
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Fig. 3 in Phylogenomics of the tropical plant family Ochnaceae using targeted enrichment of nuclear genes and 250+ taxa
Fig. 3. Continued. RAxML tree based on the concatenated 83 nuclear loci of the LEO dataset. Numbers on the branches are bootstrap values (BS)>50%; additionally, LPP and quartet support values (QSV) from MSC analysis (see suppl. Fig. S4) are given in the order BS/LLP/QSV for nodes along the backbone of Ochneae. The indicated classification of subfamilies and tribes follows Schneider & al. (2014). Numbers in parentheses after species names correspond to the specimen IDs (only for species with multiple accessions).
Data from: Target gene enrichment in the cyclophyllidean cestodes, the most diverse group of tapeworms
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Data from: Pan-genome dynamics of Pseudomonas gene complements enriched across hexachlorocyclohexane dumpsite
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Identification of genes with enriched expression in early developing mouse cone photoreceptors
GEO Series GSE132272. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Monovalent and unpoised status of most genes in undifferentiated cell-enriched Drosophila testis
GEO Series GSE19325. Drosophila melanogaster. 9 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.
Improving gene set enrichment analysis (GSEA) by using regulation directionality
GEO Series GSE208571. Bacillus subtilis. 4 samples. Type: Expression profiling by high throughput sequencing.
Gene expression data for body versus head samples for detection of genes with enriched expression in salivary glands of the spider mite Tetranychus urticae
GEO Series GSE81128. Tetranychus urticae. 4 samples. Type: Expression profiling by high throughput sequencing.
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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)
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DANDI Archive for NWB datasets
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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.