Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1047889 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR27027196_1.fastq.gz | Fastqsanger.gz | |||
| SRR27027196_2.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 2 of 2 |
Similar Datasets
Project description:Constructing high-quality haplotype-resolved genome assemblies has substantially improved the ability to detect and characterize genetic variants. A targeted approach providing readily access to the rich information from haplotype-resolved genome assemblies will be appealing to groups of basic researchers and medical scientists focused on specific genomic regions. Here, using the 4.5 megabase, notoriously difficult-to-assemble major histocompatibility complex (MHC) region as an example, we demonstrated an approach to construct haplotype-resolved assembly of the targeted genomic region with the CRISPR-based enrichment. Compared to the results from haplotype-resolved genome assembly, our targeted approach achieved comparable completeness and accuracy with reduced computing complexity, sequencing cost, as well as the amount of starting materials. Moreover, using the targeted assembled personal MHC haplotypes as the reference both improves the quantification accuracy for sequencing data and enables allele-specific functional genomics analyses of the MHC region. Given its highly efficient use of resources, our approach can greatly facilitate population genetic studies of targeted regions, and may pave a new way to elucidate the molecular mechanisms in disease etiology.
2022-11-15 | GSE192501 | GEO
Project description:Constructing high-quality haplotype-resolved genome assemblies has substantially improved the ability to detect and characterize genetic variants. A targeted approach providing readily access to the rich information from haplotype-resolved genome assemblies will be appealing to groups of basic researchers and medical scientists focused on specific genomic regions. Here, using the 4.5 megabase, notoriously difficult-to-assemble major histocompatibility complex (MHC) region as an example, we demonstrated an approach to construct haplotype-resolved assembly of the targeted genomic region with the CRISPR-based enrichment. Compared to the results from haplotype-resolved genome assembly, our targeted approach achieved comparable completeness and accuracy with reduced computing complexity, sequencing cost, as well as the amount of starting materials. Moreover, using the targeted assembled personal MHC haplotypes as the reference both improves the quantification accuracy for sequencing data and enables allele-specific functional genomics analyses of the MHC region. Given its highly efficient use of resources, our approach can greatly facilitate population genetic studies of targeted regions, and may pave a new way to elucidate the molecular mechanisms in disease etiology.
2022-11-15 | GSE192499 | GEO
Project description:Haplotype-resolved African cassava genome assembly
| PRJNA745365 | ENA
Project description:Trans-homolog interactions encompass potent regulatory functions, which have been studied extensively in Drosophila, where homologs are paired in somatic cells and pairing-dependent gene regulation, or transvection, is well-documented. Nevertheless, the structure of pairing and whether its functional impact is genome-wide have eluded analysis. Accordingly, we generated a diploid cell line from divergent parents and applied haplotype-resolved Hi-C, discovering that homologs pair relatively precisely genome-wide in addition to establishing trans-homolog domains and compartments. We also elucidated the structure of pairing with unprecedented detail, documenting significant variation across the genome. In particular, we characterized two forms: tight pairing, consisting of contiguous small domains, and loose pairing, consisting of single larger domains. Strikingly, active genomic regions (A-type compartments, active chromatin, expressed genes) correlated with tight pairing, suggesting that pairing has a functional role genome-wide. Finally, using RNAi and haplotype-resolved Hi-C, we show that disruption of pairing-promoting factors results in global changes in pairing.
2018-10-16 | GSE121256 | GEO
Project description:<p>The section <em>Oleifera</em> (Theaceae) has attracted attention for the high levels of unsaturated fatty acids found in its seeds. Here, we report the chromosome-scale genome of the sect. <em>Oleifera</em> using diploid wild <em>Camellia lanceoleosa</em> with a final size of 3.00 Gb and an N50 scaffold size of 186.43 Mb. Repetitive sequences accounted for 80.63% and were distributed unevenly across the genome. <em>Camellia lanceoleosa</em> underwent a whole-genome duplication event approximately 65 million years ago (65 Mya), prior to the divergence of <em>C</em>. <em>lanceoleosa</em> and <em>Camellia sinensis</em> (approx. 6-7 Mya). Syntenic comparisons of these two species elucidated the genomic rearrangement, appearing to be driven in part by the activity of transposable elements. The expanded and positively selected genes in <em>C</em>. <em>lanceoleosa</em> were significantly enriched in oil biosynthesis, and the expansion of homomeric <em>acetyl-coenzyme A carboxylase</em> (<em>ACCase</em>) genes and the seed-biased expression of genes encoding heteromeric ACCase, diacylglycerol acyltransferase, glyceraldehyde-3-phosphate dehydrogenase and stearoyl-ACP desaturase could be of primary importance for the high oil and oleic acid content found in <em>C. lanceoleosa</em>. Theanine and catechins were present in the leaves of <em>C</em>. <em>lanceoleosa</em>. However, caffeine can not be dectected in the leaves but was abundant in the seeds and roots. The functional and transcriptional divergence of genes encoding SAM-dependent <em>N</em>-methyltransferases may be associated with caffeine accumulation and distribution. Gene expression profiles, structural composition and chromosomal location suggest that the late-acting self-incompatibility of <em>C. lanceoleosa</em> is likely to have favoured a novel mechanism co-occurring with gametophytic self-incompatibility. This study provides valuable resources for quantitative and qualitative improvements and genome assembly of polyploid plants in sect. <em>Oleifera</em>.</p>
2022-07-14 | MTBLS3769 | MetaboLights
Project description:Haplotype-resolved Manihot esculenta Genome sequencing and assembly
| PRJNA758570 | ENA
Project description:Haplotype-resolved genome assembly of flowering cherry Cerasus speciosa haplotype-2 (alternate haplotype)
| PRJDB18835 | ENA
Project description:Haplotype-resolved genome assembly of flowering cherry Cerasus speciosa haplotype-1 (principal haplotype)
| PRJDB18834 | ENA
Project description:Two complementary protein extraction methodologies coupled with an automated proteomic platform were employed to analyze tissue-specific proteomes and characterize biological and metabolic processes in sweet potato. A total of 74,255 peptides corresponding to 4,321 nonredundant proteins were successfully identified. Data were compared to predicted protein accessions for Ipomea species and mapped on the sweet potato transcriptome and haplotype-resolved genome. A proteogenomics analysis successfully mapped 12,902 peptides against the transcriptome or genome, representing 90.4% of the total 14,275 uniquely identified peptides, predicted 741 new protein-coding genes, and specified 2726 loci where annotations can be further improved. Overall, 39,916 peptides mapped to 3,143 unique proteins in leaves, and 34,339 peptides mapped to 2,928 unique proteins in roots; 32% and 27% unique identified proteins were leaves- and roots-specific, respectively.
2019-05-30 | PXD012999 | Pride
Project description:Allelic differences between the two sets of chromosomes can affect the propensity of inheritance in humans, but the extent of such differences in the human genome has yet to be fully explored. Here, we delineate allelic chromatin modifications and transcriptomes amongst a broad set of human tissues, enabled by a chromosome-span haplotype reconstruction strategy1. The resulting haplotype-resolved epigenomic maps reveal extensive allele bias in the transcription of human genes as well as chromatin state, allowing us to infer cis-regulatory relationships between genes and their control sequences. These maps also uncover a new class of cis regulatory elements and detail activities of repetitive elements in various human tissues. The rich datasets described here will enhance our understanding of the mechanisms controlling tissue-specific gene expression programs. One replicate of Hi-C experiment in four human tissues with four different individuals (Thymus STL001, Aorta STL002, Leftventricle STL003, and Liver STL011).
2015-02-18 | E-GEOD-58752 | biostudies-arrayexpress