7edb0be3-676e-4472-a7d0-c8a6585f966b - samples
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ABSTRACT:
PROVIDER: EGAD00001007019 | EGA |
REPOSITORIES: EGA
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Project description:The early detection of tissue and organ damage associated with autoimmune diseases (AID) has been identified as key to improve long-term survival, but non-invasive biomarkers are lacking. Elevated cell-free DNA (cfDNA) levels have been observed in AID and inflammatory bowel disease (IBD), prompting interest to use cfDNA as a potential non-invasive diagnostic and prognostic biomarker. Despite these known disease-related changes in concentration, it remains impossible to identify AID and IBD patients through cfDNA analysis alone. By using unsupervised clustering on large sets of shallow whole-genome sequencing (sWGS) cfDNA data, we uncover AID- and IBD-specific genome-wide patterns in plasma cfDNA in both the obstetric and general AID and IBD populations. Supervised learning of the genome-wide patterns allows AID prediction with 50% sensitivity at 95% specificity. Importantly, the method can identify pregnant women with AID during routine non-invasive prenatal screening. Since AID pregnancies have an increased risk of severe complications, early recognition or detection of new onset AID can redirect pregnancy management and limit potential adverse events. This method opens up new avenues for screening, diagnosis and monitoring of AID and IBD.
2022-09-14 | E-MTAB-11607 | biostudies-arrayexpress
Project description:Background Ribosome depleted RNA-seq is well suited for understanding coding- and noncoding transcript expression in clinical samples with diverse input RNA quality and mass. Current choices for RNA extraction include phase-separation (e.g., ThermoFisher TRIzol) approaches to column-based (e.g., Norgen Spin Columns) approaches. Each method, however, has been noted to have differing effects on the properties of the extracted nucleic acids, precluding the straightforward bioinformatic comparison of data generated by the two methods. Methods In this study, we present differences in data differing only in total RNA extraction approaches (phase separation vs. column) from clinical samples processed by the same tissue bank and sequencing facility personnel. We use data from seven samples with libraries generated from RNA extracted with both extraction methods to characterize the effect of ‘differentially extracted’ genes (DExGs) on transcriptomic profiles. We then use another set of 148 samples extracted with one or the other method to confirm the differences observed in the 7-sample dataset. Results The large number of samples employed in this study allows us to find significant differences in important quality control parameters as well as many DExGs between the two methods. We identify several biophysical properties which are potential drivers of these differences. Conclusions We show that partial correction of extraction method mediated differences can be achieved but full correction is not possible. These results lay the foundation for principled decision making of RNA extraction methods for use in clinical samples in a translational environment, particularly in light of recent reagent shortages during the COVID-19 pandemic.
2023-09-28 | GSE158705 | GEO
Project description:Cell free DNA (cfDNA) in human plasma carries abundant information on physiological condition, especially in cancer patients such as esophageal cancer. Next-generation sequencing (NGS) as a rapidly developed technology could decode the information effectively. As a key step of NGS, using existing methods to construct cfDNA sequencing libraries is limited by several shortcomings. In this study, we developed a new NGS library construction method for highly degraded DNA, cfDNA as example, based on Single strand Adaptor Library Preparation (SALP). With the high ligation efficiency of single strand adaptor (SSA) which overhangs 3 random bases at 3' end of a double-strand DNA, the new method could construct the sequencing library with high sensitivity without using specific enzymes except T4 DNA ligase and Taq polymerase. With the special designed barcode T adaptor (BTA), multiple libraries constructed from different samples can be amplified in unbiased strategy and facility to compare. Using this method, this study successfully sequenced and compared totally 20 cfDNA samples derived from esophageal cancer patients and healthy people in whole genome scale. This study also compared the chromatin state between cancer patients and healthy people using cfDNA, identified the significant difference between different health condition. Our findings extend the application of cfDNA beyond the analysis with degraded DNA fragments itself, to the transcription regulation level, which also provide an important clue for biopsy of esophageal cancer and other diseases.
2019-04-12 | GSE116345 | GEO
Project description:Metaproteomic studies of full-scale activated sludge systems require reproducible protein extraction methods. A systematic evaluation of three different extractions protocols, each in combination with three different methods of cell lysis, and a commercial kit were evaluated. Criteria used for comparison of each method included the extracted protein concentration and the number of identified proteins and peptides as well as their phylogenetic, cell localization and functional distribution and quantitative reproducibility. Furthermore, the advantage of using specific metagenomes and a 2-step database approach was illustrated. The results recommend a protocol for protein extraction from activated sludge based on the protein extraction reagent B-Per and bead beating.
2014-08-15 | PXD000862 | Pride
Project description:cfDNA (Cell-free DNA) was extracted from serum exosome of gastric cancer patient. We analyzed cfDNA by aCGH (array comparative genomic hybridization).
2018-03-31 | GSE108602 | GEO
Project description:The goal of this study was to optimize protein extraction methods to study root-associated bacteria in Arabidopsis. For this we inoculated Arabidopsis seedlings grown in agar plates with a synthetic community (SynSom) composed of four different strains (Variovorax paradoxus, Arthrobacter sp, Agrobacterium sp. and Pseudomonas sp.. Twelve days after inoculation we extracted proteins from the roots using six different protein extraction methods each in triplicates. These methods were a combination of different extraction buffers (SDS or Triton-based) and mechanical disruption methods (bead-beating, N2 grinding, glass homogenizer and freeze-thaw cycles) We found that bead-beating the roots with lysing matrix E in SDT lysis buffer yielded the highest numbers of microbial protein identification and enhanced the detection of proteins derived from gram positive bacteria.
2022-09-08 | PXD026330 | Pride
Project description:As a non-invasive blood testing, the detection of cell-free DNA (cfDNA) methylation in plasma is raising increasing interest due to its diagnostic and biology applications. Although extensively used in cfDNA methylation analysis, bisulfite sequencing is less cost-effective. Through enriching methylated cfDNA fragments with MeDIP followed by deep sequencing, we aimed to characterize cfDNA methylome in cancer patients. In this study, we investigated the cfDNA methylation patterns in lung cancer patients by MeDIP-seq. MEDIPS package was used for the identification of differentially methylated regions (DMRs) between patients and normal ones. Overall, we identified 330 differentially methylated regions (DMRs) in gene promoter regions, 33 hypermethylation and 297 hypomethylation respectively, by comparing lung cancer patients and healthy individuals as controls. The 33 hypermethylation regions represent 32 genes. Some of the genes had been previously reported to be associated with lung cancers, such as GAS7, AQP10, HLF, CHRNA9 and HOPX. Taken together, our study provided an alternative method of cfDNA methylation analysis in lung cancer patients with potential clinical applications.
2019-03-31 | E-MTAB-7163 | biostudies-arrayexpress
Project description:Current methods for mapping the tissue-of-origin of circulating cell-free DNA (cfDNA) are still insufficient. Here, we have extended a previously developed methylated CpG tandems amplification and sequencing (MCTA-Seq) method for quantitative analysis of tissue-of-origin of plasma cfDNA. By comparing paired plasma cfDNA and white blood cell genomic DNA, we have demonstrated that the liver is the major non-hematopoietic tissue contributing to plasma cfDNA in healthy adults, accounting for approximately 2%. Furthermore, we have detected changes in liver-derived DNA in patients with benign liver diseases and increases in pancreas-derived DNA in acute pancreatitis patients. Interestingly, our results suggest that DNA derived from pathological tissues makes a minor contribution to the increased cfDNA in many clinical cases. Finally, we have identified a tissue-specific hypermethylated cfDNA marker located in the intragenic regions of tissue-specifichighlyexpressed genes. This study represents valuable progress in the field of cfDNA and offers promise for clinical research and medical diagnostics using the described method.
2019-07-01 | GSE118690 | GEO
Project description:Purpose: To identify significantly different individual mRNA species or genetic pathways in the GCNAKO mutant sample when compared to the wildtype sample. GCNA is encoded by CG14814 (Flybase ID: FBgn0023515). Method: Total RNA was extracted using the Qiagen miRNEasy kit, followed by on column DNAse digest using the Qiagen DNAse digest kit. We used the miRNEasy kit to ensure collection of small RNA species as well as total RNA. RNA was collected from three independent bological replicates of freshly dissected Drosophila ovaries ( 100 ovaries per replicate), collected from 1-3 day old female Drosophila. Ovaries were flash frozen in liquid nitrogen after dissection to preserve the RNA species and prevent degradation. RNAse free conditions were maintained throughout the extraction protocol. RNA quality was tested by the sequencing core before sequencing the RNA.
2019-10-22 | GSE127220 | GEO
Project description:We developed a new method to extract cfNA (containing cfDNA, cfRNA and viral RNA) from serum/plasma based on the adsorption of nucleic acids by MOF materials (Co-IRMOF-74-IV), and compared the extraction capability with commercial kit method. We conducted a comprehensive characterization of the cell-free RNA in a small number of clinical samples, including patients with HCC (n=14), CHB (n=17) and normal individuals (n=8). And then we build a model with 6 cfRNA signature to diagnose liver cancer, and indicated high diagnostic efficiency (AUC=0.905) in the independent validation cohort (HCC n=7, CHB n=4 and normal individuals n=8)
2023-08-01 | GSE210775 | GEO