Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA291852 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We developed a high-throughput sequencing protocol that efficiently captures small RNAs from low input samples while minimizing inherent biases associated with library production. The protocol was builds on previously published method that adds a barcode to samples at the earliest step in preparation such that all downstream manipulations can be performed on a pool of many samples thereby greatly reducing reagent usage and workload. We optimized adapter concentrations and showed modified adapters greatly increases the efficiency of small RNA capture. This work also demonstrates that unique molecular identifiers incorporated into the adapters can be used to bioinformatically remove PCR duplication.
2019-01-31 | GSE109162 | GEO
Project description:Formalin-fixed, paraffin-embedded (FFPE) tissues have many advantages for identification of risk biomarkers, including wide availability and potential for extended follow-up endpoints. However, RNA derived from archival FFPE samples has limited quality. Here we identified parameters that determine which FFPE samples have the potential for successful RNA extraction, library preparation, and generation of usable RNAseq data. We optimized library preparation protocols designed for use with FFPE samples using seven FFPE and Fresh Frozen replicate pairs, and tested optimized protocols using a study set of 130 FFPE biopsies from women with benign breast disease. Metrics from RNA extraction and preparation procedures were collected and compared with bioinformatics sequencing summary statistics. Finally, a decision tree model was built to learn the relationship between pre-sequencing lab metrics and qc pass/fail status as determined by bioinformatics metrics.. Samples that failed bioinformatics qc tended to have low median sample-wise correlation within the cohort (Spearman correlation < 0.75), low number of reads mapped to gene regions (< 25 million), or low number of detectable genes (11,400 # of detected genes with TPM > 4). The median RNA concentration and pre-capture library Qubit values for qc failed samples were 18.9 ng/ul and 2.08 ng/ul respectively, which were significantly lower than those of qc pass samples (40.8 ng/ul and 5.82 ng/ul). We built a decision tree model based on input RNA concentration, input library qubit values, and achieved an F score of 0.848 in predicting QC status (pass/fail) of FFPE samples. We provide a bioinformatics quality control recommendation for FFPE samples from breast tissue by evaluating bioinformatic and sample metrics. Our results suggest a minimum concentration of 25 ng/ul FFPE-extracted RNA for library preparation and 1.7 ng/ul pre-capture library output to achieve adequate RNA-seq data for downstream bioinformatics analysis.
2023-09-29 | GSE244325 | GEO
Project description:Microfluidic platform for next-generation sequencing library preparation with low-input samples
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Project description:We optimzed ATAC-seq library preparation for use with Drosophila melanogaster. The protocol addresses factors specific to fruit flies, such as the insect exoskeleton and smaller genome size. The optimized protocol provides guidelines for sample input, nuclei isolation, and enzymatic reaction times. The data included here were generated using our optimized library preparation workflow.
2022-04-20 | GSE197760 | GEO
Project description:The goal of this study was to titrate the amount of adapters for picogram amounts of ChIP DNA to determine the optimal conditions for library generation. H3K4me3 ChIP DNA from human Raji cells was diluted to the indicated amount and sequencing libraries generated using a range of adapter concentrations. The optimal adapter:DNA ratios were sequenced in technical duplicate to determine the reproducibility at each starting ChIP DNA amount. Additionally, for two samples we altered the number of cycles during the PCR amplification to determine the effect of PCR on library complexity and read duplicates.
2020-08-20 | GSE71700 | GEO
Project description:Systematic assessment of commercially available low-input miRNA library preparation kits
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Project description:Spatial tissue proteomics integrating whole-slide imaging, laser microdissection and ultrasensitive mass spectrometry is a powerful approach to link cellular phenotypes to functional proteome states in (patho)physiology. To be applicable to large patient cohorts and low sample input amounts, including single-cell applications, loss-minimized and streamlined end-to-end workflows are key. We here introduce an automated sample preparation protocol for laser microdissected samples utilizing the cellenONE® robotic system, which has the capacity to process 192 samples in three hours. Following laser microdissection collection directly into the proteoCHIP LF 48 or EVO 96 chip, our optimized protocol facilitates lysis, formalin de-crosslinking and tryptic digest of low-input archival tissue samples. The seamless integration with the Evosep ONE LC system by centrifugation allows ‘on-the-fly’ sample clean-up, particularly pertinent for laser microdissected workflows. We validate our method in human tonsil archival tissue, where we profile proteomes of spatially-defined B-cell, T-cell and epithelial microregions of 4,000 µm2 to a depth of ~2,000 proteins and with high cell type specificity. We finally provide detailed equipment templates and experimental guidelines for broad accessibility.
2024-03-22 | PXD047762 | Pride
Project description:Systematic comparative analysis of strand-specific, cost-effective, RNA-seq library preparation methods for low input samples
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Project description:Optimized ATAC-seq library preparation from Drosophila neurons
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Project description:High-throughput RNA-sequencing has now become the gold standard method for whole-transcriptome gene expression analysis. It is widely used in a number of applications studying various transcriptomes of cells and tissues. It is also being increasingly considered for a number of clinical applications, including expression profiling for diagnostics or alternative transcripts detection. However, RNA sequencing can be challenging in some situations, for instance due to low input quantities or degraded RNA samples. Several protocols have been proposed to overcome some of these challenges, and many are available as commercial kits. Here we perform a comprehensive testing of three recent commercial technologies for RNA-seq library preparation (Truseq, Smarter and Smarter Ultra-Low) on human reference tissue preparations, for standard (1ug), low (100 and 10 ng) and ultra-low (< 1 ng) input quantities, and for mRNA and total RNA, stranded or unstranded. We analyze the results using read quality and alignments metrics, gene detection and differential gene expression metrics. Overall, we show that the Truseq kit performs well at 100 ng input quantity, while the Smarter kit shows degraded performances for 100 and 10 ng input quantities, and that the Smarter Ultra-Low kit performs quite well for input quantities < 1 ng. All the results are discussed in details, and we provide guidelines for the selection of a RNA-seq library preparation kits by biologists.
2019-05-10 | GSE124198 | GEO