Assessing absolute microbial abundancies by spike-in based calibration
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PROVIDER: PRJEB11953 | ENA |
REPOSITORIES: ENA
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Project description:Normalization of high-throughput small RNA sequencing (sRNA-Seq) data is required to compare sRNA levels across different samples. Commonly used relative normalization approaches can cause erroneous conclusions due to fluctuating small RNA populations between tissues. We developed a set of sRNA spike-in oligonucleotides (sRNA spike-ins) that enable absolute normalization of sRNA-Seq data across independent experiments, as well as the genome-wide estimation of sRNA:mRNA stoichiometries when used together with mRNA spike-in oligonucleotides.
2017-07-19 | GSE98553 | GEO
Project description:Calibration array used to assess probe specific binding behaviour across eight different amounts of DNA starting material. This calibration step was performed to select one best out of three probes per gene based on probe responsiveness on increasing DNA staring material. It was further used to calibrate a subsequent microarray experiment to account for probe specific binding behaviour as part of the normalization process (see also Dennenmoser et al. 2017 Copy number increases of transposable elements and protein coding genes in an invasive fish of hybrid origin).
2017-07-01 | GSE93063 | GEO
Project description:We designed spike-in controls for cfMeDIP-seq experiments. These spike-in controls mitigate batch effects and allow for absolute quantification of cell-free DNA.
| EGAS00001005069 | EGA
Project description:This study aims to assess the reliability of spike-in normalization for analyzing single-cell RNA sequencing data. This is done by performing mixture experiments where two different sets of spike-in RNA (ERCC and SIRV) are added separately to a single mouse cell (416B or trophoblast stem cells (TSCs)), followed by generation of sequencing libraries using a modified version of the Smart-seq2 protocol. The aim is to measure the variance of the log-ratio of the total counts between the two spike-in sets. This will quantify how precisely the spike-in RNA was added to each well. As a control, addition was also performed with a premixed solution of both spike-ins, to quantify the variability in the log-ratios due to the experimental protocol. The same data can also be used to measure the well-to-well variability in the differences in behaviour between the two spike-in sets. The data contain four batches of libraries (block), using different batches of cells that were processed and sequenced separately. Each batch contains libraries with all three types of spike-in addition (ERCC+SIRV, SIRV+ERCC or Premixed). The 416B cells also contain a CBFB-MYH11 oncogene, which is expressed in half of the cells (Induced) and silent in the other half (Control).
2017-05-31 | E-MTAB-5522 | biostudies-arrayexpress
Project description:By reporting molar abundances of proteins, absolute quantification determines their stoichiometry in complexes, pathways or networks and also relates them to abundances of non-protein biomolecules. Typically, absolute quantification relies either on protein- specific isotopically labelled peptide standards or on a semi-empirical calibration against the average abundance of peptides chosen from arbitrary selected standard proteins. Here we developed a generic protein standard FUGIS (Fully unlabelled Generic Internal Standard) that requires no isotopic labelling, synthesis of standards or external calibration and is applicable to proteins of any organismal origin. FUGIS is co-digested with analysed proteins and enables their absolute quantification in the same LC-MS/MS run. By using FUGIS, median based absolute quantification (MBAQ) workflow provides similar quantification accuracy compared to isotopically-labelled peptide standards and outperforms methods based on external calibration or selection of best ionized reporter peptides (Top3 quantification) with a median quantification error less than 15%
2021-11-30 | PXD026886 | Pride
Project description:Picky is an optimal microarray design software which designed the NSF Rice 45K Array. A series of microarray experiments using a one-chip version of this array were conducted to validate as well as to develop a calibration method for Picky designed microarrays. Synthesized samples with known content were used in the validation. PICKY designed microarrays were found to be highly reliable. The PICKY predicted closest nontarget information was used to quantitatively calibrate the best microarray hybridization conditions using the same microarrays and synthesized samples. Because this method works under most microarray protocols, it is generally applicable in any lab that uses PICKY as their microarray design tool. The associate publication provides more details about the experiment design and discussions about its results. Keywords: Microarray Calibration 20 probes on the NSF Rice Oligonucleotide 45K Array grouped into two sets were chosen for microarray calibration. 40 antisense oligonucleotides were synthesized based on the target and closest nontarget gene sequences for each of the chosen probes. 5 different experiments were designed with varied concentrations and dye labeling schemes for the 40 antisense oligos. Two hybridizations were conducted for each experiment at each calibration temperature. 7 sets of experiments were conducted at 70, 60, 55, 53, 50, 48 and 45 degree C using a total of 70 microarrays. Each microarray is scanned at multiple PMT settings to obtain multiple data files. After inspection, weak signal results at 70 degree C and a few contaminated microarray results were discarded. Altogether, 165 valid GenePix GPR files were produced and included in this series.
2010-06-21 | E-GEOD-14717 | biostudies-arrayexpress
Project description:<p>Quantitative NMR metabolomics is a powerful tool to have access to valuable information on metabolism. Unfortunately, the quantitative analysis of metabolic samples is often hampered by peak overlap. Two-dimensional (2D) spectroscopy offers a promising alternative and quantitative results can be obtained provided that a calibration approach is employed. However, the duration of 2D NMR experiments is barely compatible with the metabolomic study of a large number of samples. This drawback can be circumvented by relying on “ultrafast” experiments capable of recording 2D spectra in a single-scan. While such experiments are not sensitive enough to match the concentrations of metabolic samples, a compromise can be reached by hybrid strategies capable of recording 2D NMR spectra of extracts in a few minutes only. The purpose of this study is to demonstrate that these multi-scan single-shot experiments can be successfully applied to the absolute quantification of major metabolites in plant extracts. Fast COSY experiments are recorded in 5 min on tomato fruit pericarp extracts at different stages of development. The concentration of eight major metabolites is determined with a trueness better than 10 % and a technical repeatability of a few percent. The experiments performed at two magnetic fields lead to similar quantitative results, in coherence with the metabolism of tomato fruit. The results show that fast 2D NMR methods form a promising tool for fast targeted metabolomics, and open promising perspective towards the automated and high-throughput quantitative analysis of large groups of plant and other samples for metabolomics and for the modelling of metabolism.</p><p><br></p><p><strong>Calibration Standard 700 MHz samples</strong> protocols and data are reported in the current study <a href='https://www.ebi.ac.uk/metabolights/MTBLS134' rel='noopener noreferrer' target='_blank'><strong>MTBLS134</strong></a>.</p><p><strong>Tomato 500 MHz samples</strong> protocols and data are reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS131' rel='noopener noreferrer' target='_blank'><strong>MTBLS131</strong></a>.</p><p><strong>Tomato 700 MHz samples</strong> protocols and data are reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS132' rel='noopener noreferrer' target='_blank'><strong>MTBLS132</strong></a>.</p><p><strong>Calibration Standard 500 MHz samples</strong> protocols and data are reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS133' rel='noopener noreferrer' target='_blank'><strong>MTBLS133</strong></a>.</p>
2015-11-11 | MTBLS134 | MetaboLights
Project description:<p>Quantitative NMR metabolomics is a powerful tool to have access to valuable information on metabolism. Unfortunately, the quantitative analysis of metabolic samples is often hampered by peak overlap. Two-dimensional (2D) spectroscopy offers a promising alternative and quantitative results can be obtained provided that a calibration approach is employed. However, the duration of 2D NMR experiments is barely compatible with the metabolomic study of a large number of samples. This drawback can be circumvented by relying on “ultrafast” experiments capable of recording 2D spectra in a single-scan. While such experiments are not sensitive enough to match the concentrations of metabolic samples, a compromise can be reached by hybrid strategies capable of recording 2D NMR spectra of extracts in a few minutes only. The purpose of this study is to demonstrate that these multi-scan single-shot experiments can be successfully applied to the absolute quantification of major metabolites in plant extracts. Fast COSY experiments are recorded in 5 min on tomato fruit pericarp extracts at different stages of development. The concentration of eight major metabolites is determined with a trueness better than 10 % and a technical repeatability of a few percent. The experiments performed at two magnetic fields lead to similar quantitative results, in coherence with the metabolism of tomato fruit. The results show that fast 2D NMR methods form a promising tool for fast targeted metabolomics, and open promising perspective towards the automated and high-throughput quantitative analysis of large groups of plant and other samples for metabolomics and for the modelling of metabolism.</p><p><br></p><p><strong>Calibration Standard 500 MHz samples</strong> protocols and data are reported in the current study <a href='https://www.ebi.ac.uk/metabolights/MTBLS133' rel='noopener noreferrer' target='_blank'><strong>MTBLS133</strong></a>.</p><p><strong>Tomato 500 MHz samples</strong> protocols and data are reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS131' rel='noopener noreferrer' target='_blank'><strong>MTBLS131</strong></a>.</p><p><strong>Tomato 700 MHz samples</strong> protocols and data are reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS132' rel='noopener noreferrer' target='_blank'><strong>MTBLS132</strong></a>.</p><p><strong>Calibration Standard 700 MHz samples</strong> protocols and data are reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS134' rel='noopener noreferrer' target='_blank'><strong>MTBLS134</strong></a>.</p>
2015-11-11 | MTBLS133 | MetaboLights
Project description:Picky is an optimal microarray design software which designed the NSF Rice 45K Array. A series of microarray experiments using a one-chip version of this array were conducted to validate as well as to develop a calibration method for Picky designed microarrays. Synthesized samples with known content were used in the validation. PICKY designed microarrays were found to be highly reliable. The PICKY predicted closest nontarget information was used to quantitatively calibrate the best microarray hybridization conditions using the same microarrays and synthesized samples. Because this method works under most microarray protocols, it is generally applicable in any lab that uses PICKY as their microarray design tool. The associate publication provides more details about the experiment design and discussions about its results. Keywords: Microarray Calibration
2009-10-22 | GSE14717 | GEO