Ontology highlight
ABSTRACT:
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR229910.fastq.gz | Fastqsanger.gz | |||
| ERR229910_1.fastq.gz | Fastqsanger.gz | |||
| ERR229910_2.fastq.gz | Fastqsanger.gz | |||
| ERR229911.fastq.gz | Fastqsanger.gz | |||
| ERR229911_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 15 |
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Project description:An archaeological bone fragment from Baishiya Karst Cave, China, was identified as stemming from a hominin through ZooMS (Zooarchaeology by Mass Spectrometry). Shotgun palaeoproteomic analyses were thereafter conducted on the specimen to refine the taxonomic identification and perform phylogenetic analyses. The reconstruted proteome shows that the newly described Baishiya Karst Cave individual, Xiahe 2, is most closely related to the high-coverage published genome from a Denisovan individual.
2024-05-22 | PXD047932 | Pride
Project description:Samples were used for a study on the ability to use deamidation rates to assess relative chronology at Denisova Cave. The majority of the samples for the study were analyzed using peptide mass fingerprinting (data publicly available - see associated manuscript for details). 15 samples from 7 layers in Denisova Cave were chosen for LC-MS/MS analysis. Prior to analysis samples were demineralized in hydrochloric acid, gelatinized in ammonium bicarbonate, digested with trypsin, and desalted with C18 ZipTips. Data was processed using Byonic with SwissProt as the database to obtain a focused database of just the proteins present in the samples. This focused database was combined with curated collagen sequences (database presented here) and used for analysis with MaxQuant and deamiDATE. For more details see associated publication.
Provided here are the raw files, peak lists for Byonic, results files for Byonic, sequence database (focused database and currated collagen sequences), metadata file with information linking the file names here to the file names of the peptide mass fingerprinting samples, and a zip file of the Max Quant and deamiDATE results.
2020-12-02 | MSV000086548 | MassIVE
Project description:A 30-fold coverage Vindija Neandertal genome from Croatia
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Project description:1.4x coverage of the genome of the Mezmaiskaya1 Neandertal
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Project description:Organisms adapt to and survive in environments with varying nutrient availability. Cis-regulatory changes play important roles in adaptation and phenotypic evolution. To what extent cis-regulatory elements contribute to metabolic adaptation is less understood. Here we have utilized a unique vertebrate model, Astyanax mexicanus, that survives in nutrient rich surface and nutrient deprived cave water to uncover gene regulatory networks in metabolic adaptation. We performed genome-wide analysis of accessible chromatin and histone modifications in the liver tissue of one surface and two independently derived cave populations, providing the first genome-wide epigenetic landscape in this organism. We find that many cis-regulatory elements differ between surface and the cavefish, while the two independently derived cave populations have evolved remarkably similar regulatory signatures. Changes in gene regulatory networks between the surface and cave morphotypes point to global changes in key metabolic pathways.
2021-09-07 | GSE153049 | GEO
Project description:Organisms adapt to and survive in environments with varying nutrient availability. Cis-regulatory changes play important roles in adaptation and phenotypic evolution. To what extent cis-regulatory elements contribute to metabolic adaptation is less understood. Here we have utilized a unique vertebrate model, Astyanax mexicanus, that survives in nutrient rich surface and nutrient deprived cave water to uncover gene regulatory networks in metabolic adaptation. We performed genome-wide analysis of accessible chromatin and histone modifications in the liver tissue of one surface and two independently derived cave populations, providing the first genome-wide epigenetic landscape in this organism. We find that many cis-regulatory elements differ between surface and the cavefish, while the two independently derived cave populations have evolved remarkably similar regulatory signatures. Changes in gene regulatory networks between the surface and cave morphotypes point to global changes in key metabolic pathways.
2021-09-07 | GSE153048 | GEO
Project description:DNA methylation is a key component of the mammalian epigenome, playing a regulatory role in development, disease, and other processes. Robust, high-throughput single-cell DNA methylation assays are now possible (sciMET); however, the genome-wide nature of DNA methylation results in a high sequencing burden per cell. Here, we leverage target enrichment with sciMET to capture sufficient information per cell for cell type assignment using substantially fewer sequence reads (sciMET-cap). Sufficient off-target coverage further enables the production of near-complete methylomes for individual cell types. We characterize sciMET-cap on human PBMCs and brain (middle frontal gyrus).
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Project description:Age estimates for hominins at Denisova Cave: genetic data
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Project description:Microarray-based enrichment of selected genomic loci is a powerful method for genome complexity reduction. Since the vast majority of exons in vertebrate genomes are smaller than 150 nt, we have explored the use of short fragment libraries (85-110bp) to achieve higher enrichment specificity by reducing carryover and adverse effects of flanking intronic sequences. These short fragment libraries were enriched for 1.69 Mb of exonic sequences, using custom 244K microarrays, and sequenced using AB/SOLiD. High enrichment specificity (60 M-bM-^@M-^S 75%) was obtained at 67-213x average coverage, with 77-92% and 90-98% of targeted regions covered with more than 25% and 10% of the average coverage, respectively. As a more appropriate measure of the evenness of coverage, which is relatively independent of sequencing depth, we introduce the evenness of coverage parameter E. E values up to 75% were achieved. To verify the accuracy of SNP/mutation detection we evaluated 384 known non-reference SNPs in the targeted regions. At ~ 200x average sequence coverage, we were able to survey 96.4% of 1.69 Mb of genomic sequence with only 4.2% false negative calls while 3.6% of targeted regions were marked as unsurveyed. A total of 1197 new variants were detected. Verification revealed only 8 false positive calls, resulting in an overall false positive rate of less than 1 per ~200,000 bp (0.0005%, equivalent to an overall phred score of 55). 4 samples + capture design file
2010-02-01 | E-GEOD-18542 | biostudies-arrayexpress