CHEAR Christiani NMR
Ontology highlight
ABSTRACT:
ORGANISM(S): Human Homo Sapiens
TISSUE(S): Blood
SUBMITTER: 
Timothy Fennell
PROVIDER: ST000826 | MetabolomicsWorkbench | Wed Jul 26 00:00:00 BST 2017
REPOSITORIES: MetabolomicsWorkbench
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| mwtab | Other |
Items per page: 5 1 - 1 of 1 |
Similar Datasets
Project description:Human cord blood serum samples (200) were provided by David Christiani. The 200 study samples, total pool samples, and external CHEAR Plasma Reference Material samples were prepared and analyzed using the Biocrates AbsoluteIDQ p180 Kit.
2017-07-18 | ST000825 | MetabolomicsWorkbench
Project description:Proper QA/QC is an essential component of any analytical procedure. The variability in platforms and approaches used by the untargeted cores requires that each lab develop specific QA/QC protocols, making cross-laboratory assessments challenging. To address the difference in measures across the untargeted cores, the untargeted quality assurance working group (UQAWG) has identified the importance of using the same biological reference sample across the different laboratories. To reach this goal, Dr. Jones and Mr. Walker of Emory University volunteered to take the lead in identifying vendors, requesting quotes, purchasing the pooled material, delivering the specified volumes to each of the lab hubs and storing additional material on-site at Emory University. Based upon discussion with the UQAWG, it was decided that each participating laboratory (five total) will receive 500 mL of plasma and 2000 mL of urine, providing sufficient volume for daily analysis over the next five years. Initially, NIST standard reference materials were considered; however, limited supply and cost makes the use of NIST materials impractical. Vendors, including BioreclamationIVT, Lee Biosolutions Inc and Gemini Bio-Products were contacted to request quotes for preparing pooled plasma and urine meeting the following requirements: K2EDTA recovered whole blood (plasma), equal distribution male/female, equal distribution of Black/Hispanic/Caucasian donors and be collected from greater than 40 donors. In addition, we requested all blood samples be collected in FDA inspected facilities, provide collection details, provide general demographics for each donor and be delivered in 500 mL aliquots. BioreclamationIVT, who also provided the biological samples for the NIH metabolomics ring trial, was selected as the most appropriate vendor due to the ability to provide the requested materials, lead-time to deliver and price. To date, both pools have been purchased. The urine pool was received on July 21, 2016 and the plasma pool will be received July 26, 2016. Upon receipt, both pools will be stored at -80°C. Summary demographics were provided by BioreclamationIVT, the urine pool was created by combining urine samples from 60 males and 60 females with an average age of 38 (range 18-60) and equal distribution of races. The plasma pool was created by combining recovered plasma obtained from 50 males and 50 females with an average age of 38.4 (range 19-72) and equal distribution of races. Both urine and plasma pools will be delivered to the lab hubs frozen in units of 500 mL. Upon receipt, plasma and urine pools should be aliquoted into volumes that provide sufficient material so that freeze-thaw of the pooled material is minimized. For unambiguous identification, the urine pool has been named UrineRef_20160721 and the plasma pool has been named PlasmaRef_20160726. The purpose of providing each untargeted lab hub with the pooled material is two-fold. Through analysis of UrineRef_20160721 (if study samples are urine) or PlasmaRef_20160726 (if study samples are plasma) in each batch of samples analyzed for CHEAR, it will be possible to have a common reference across the different lab hubs. Thus, the ability to compare analyses on different platforms will be greatly improved. The use of a consistent reference material in each batch will also facilitate reference standardization, a concept developed for retrospective quantification of high-resolution metabolomics (Go, Walker et al. 2015). Using reference standardization, quantification post-data acquisition is possible by referencing the pooled material analyzed with each series of samples. The pooled material can be characterized and analytes quantified using traditional analytical chemistry techniques, such as quantification by methods of addition or standardization with a certified reference material, such as NIST SRM 1950. Known concentrations within the pooled material can be used to determine an analyte response factor and calculate sample concentrations based on single-point calibration. The benefit of this approach is that targeted quantification is only required in the pooled sample (i.e. UrineRef_20160721 or PlasmaRef_20160726), chemicals selected for quantification do not need to be selected a priori, and population wide estimates of plasma chemical concentrations can be determined without having to re-analyze samples using a targeted approach. Current Clinical Biomarker Laboratory protocol requires three analytical replicates of pooled reference material per day (three technical replicates per analytical replicate per column configuration, or 18 injections/instrument-day), resulting in analyses of the reference material every 10 samples. Results from untargeted LC-HRMS analyses of pooled CHEAR reference materials. PlasmaRef_20160726 was analyzed with additional NIST reference materials: SRM 1950, SRM 1957 and SRM 1958. UrineRef_20160721 was analyzed with NIST reference materials SRM 3672 and 3673.
2017-02-17 | ST000596 | MetabolomicsWorkbench
Project description:Proper QA/QC is an essential component of any analytical procedure. The variability in platforms and approaches used by the untargeted cores requires that each lab develop specific QA/QC protocols, making cross-laboratory assessments challenging. To address the difference in measures across the untargeted cores, the untargeted quality assurance working group (UQAWG) has identified the importance of using the same biological reference sample across the different laboratories. To reach this goal, Dr. Jones and Mr. Walker of Emory University volunteered to take the lead in identifying vendors, requesting quotes, purchasing the pooled material, delivering the specified volumes to each of the lab hubs and storing additional material on-site at Emory University. Based upon discussion with the UQAWG, it was decided that each participating laboratory (five total) will receive 500 mL of plasma and 2000 mL of urine, providing sufficient volume for daily analysis over the next five years. Initially, NIST standard reference materials were considered; however, limited supply and cost makes the use of NIST materials impractical. Vendors, including BioreclamationIVT, Lee Biosolutions Inc and Gemini Bio-Products were contacted to request quotes for preparing pooled plasma and urine meeting the following requirements: K2EDTA recovered whole blood (plasma), equal distribution male/female, equal distribution of Black/Hispanic/Caucasian donors and be collected from greater than 40 donors. In addition, we requested all blood samples be collected in FDA inspected facilities, provide collection details, provide general demographics for each donor and be delivered in 500 mL aliquots. BioreclamationIVT, who also provided the biological samples for the NIH metabolomics ring trial, was selected as the most appropriate vendor due to the ability to provide the requested materials, lead-time to deliver and price. To date, both pools have been purchased. The urine pool was received on July 21, 2016 and the plasma pool will be received July 26, 2016. Upon receipt, both pools will be stored at -80°C. Summary demographics were provided by BioreclamationIVT, the urine pool was created by combining urine samples from 60 males and 60 females with an average age of 38 (range 18-60) and equal distribution of races. The plasma pool was created by combining recovered plasma obtained from 50 males and 50 females with an average age of 38.4 (range 19-72) and equal distribution of races. Both urine and plasma pools will be delivered to the lab hubs frozen in units of 500 mL. Upon receipt, plasma and urine pools should be aliquoted into volumes that provide sufficient material so that freeze-thaw of the pooled material is minimized. For unambiguous identification, the urine pool has been named UrineRef_20160721 and the plasma pool has been named PlasmaRef_20160726. The purpose of providing each untargeted lab hub with the pooled material is two-fold. Through analysis of UrineRef_20160721 (if study samples are urine) or PlasmaRef_20160726 (if study samples are plasma) in each batch of samples analyzed for CHEAR, it will be possible to have a common reference across the different lab hubs. Thus, the ability to compare analyses on different platforms will be greatly improved. The use of a consistent reference material in each batch will also facilitate reference standardization, a concept developed for retrospective quantification of high-resolution metabolomics (Go, Walker et al. 2015). Using reference standardization, quantification post-data acquisition is possible by referencing the pooled material analyzed with each series of samples. The pooled material can be characterized and analytes quantified using traditional analytical chemistry techniques, such as quantification by methods of addition or standardization with a certified reference material, such as NIST SRM 1950. Known concentrations within the pooled material can be used to determine an analyte response factor and calculate sample concentrations based on single-point calibration. The benefit of this approach is that targeted quantification is only required in the pooled sample (i.e. UrineRef_20160721 or PlasmaRef_20160726), chemicals selected for quantification do not need to be selected a priori, and population wide estimates of plasma chemical concentrations can be determined without having to re-analyze samples using a targeted approach. Current Clinical Biomarker Laboratory protocol requires three analytical replicates of pooled reference material per day (three technical replicates per analytical replicate per column configuration, or 18 injections/instrument-day), resulting in analyses of the reference material every 10 samples. Results from untargeted LC-HRMS analyses of pooled CHEAR reference materials. PlasmaRef_20160726 was analyzed with additional NIST reference materials: SRM 1950, SRM 1957 and SRM 1958. UrineRef_20160721 was analyzed with NIST reference materials SRM 3672 and 3673.
2017-02-21 | ST000595 | MetabolomicsWorkbench
Project description:The naked mole-rat (NMR) is an exceptionally long-lived rodent that does not show increased mortality with age, uniquely defining NMR as a demographically non-aging mammal. Here, we performed bisulfite sequencing on over one hundred NMR blood samples differing in age, assessing more than 3 million common CpG sites. We observed an information loss of the NMR methylome during aging suggesting that NMR ages. Unsupervised clustering based on the 758 CpG sites whose methylation level strongly correlate with age suggests an age-related shift of the NMR methylome. We also developed an epigenetic aging clock that accurately predicts the NMR age spread across the genome. Based on the clock, NMRs age much slower than mice and much faster than humans, consistent with their known maximum lifespans. We further found that patterns of age-related methylation changes of aging clock sites in Tert and Prpf19 showed differences between NMRs and mice. Together, the data indicate that NMRs, like other mammals, epigenetically age even in the absence of demographic aging of this species.
2021-12-19 | GSE179039 | GEO
Project description:To determine the chemical composition of reference urine and plasma samples for untargeted metabolomic analysis in CHEAR untargeted resources.
2017-02-19 | ST000557 | MetabolomicsWorkbench
Project description:External signals regulate continuous transcriptional states in hematopoietic stem cells
| PRJNA698235 | ENA
Project description:In crosslinked MINUTE-ChIP, formaldehyde-fixed chromatin is fragmented using sonication, blunted and ligated to double-stranded DNA adaptors that include a T7 RNA polymerase promoter and a sample barcode sequence. Finally, samples are combined and subsequent ChIP reactions are performed with the pooled samples. ChIP material is prepared into an Illumina-compatible library using linear amplification by virtue of T7 RNA polymerase, reverse transcription and a low-cycle library PCR amplification. Here, we demonstrate a MINUTE-ChIP for Nanog from formaldehyde-fixed cells using fragmentation by sonication.
2024-02-11 | GSE244908 | GEO
Project description:The yeast calibration curve dataset was acquired to compare the accuracy of DIA tools with decreasing contents of target peptides. Four samples (Y1, Y2, Y3 and Y4) with decreasing contents (200, 100, 50 and 25 ng, respectively) of analytes (yeast tryptic peptides) and a high content of background peptides (800 ng human tryptic peptides constantly) were analyzed in triplicate using LC-DIA-MS/MS. The DIA data were processed by different DIA tools based on the spectral library generated from the DDA data. The accuracy of different DIA tools was compared.
2023-10-25 | PXD039399 | Pride
Project description:Naked mole rat (NMR) is a valuable model for aging and cancer research due to its exceptional longevity and resistance to tumorigenesis. In an effort to generate NMR induced pluripotent stem cells (iPSCs) we observed that reprogramming efficiency of NMR fibroblasts in repsonse to OSKM overexpression was drasticaly lower than that of mouse fibroblasts. To understand the cause of NMR resistance to reprogramming we screened for factors that improve reprogramming effciency. We identified that expression of SV40 Large T (LT) dramatically improved reprogramming of NMR fibroblasts. Inactivation of Rb alone, but not p53, was suffcient to improve reprogramming effciency suggesting that NMR chromatin structure is refractory to reprogramming. Analysis of global histone landscape using quantitative mass spectrometry revealed that NMR fibroblasts had higer levels of repressive H3K27 methylation marks, and lower levels of activating H3K27 acetylation mark than the mouse fibroblasts. Furthermore, the NMR cells had lower levels of permissive H2A.Z acetylation marks. ChIP showed that of E-cadherin had repressive H3K9me3 histone mark in the NMR, but was poised with a bivalent H3K4me3/H3K27me3 in the mouse. Expression of LT reduced the levels of H3K9me3 mark on E-cadherin promoter. ATAC-seq revealed that NMR had more open chromatin globally, however, NMR promoters were more closed than mouse promoters. Expression of LT antigen led to massive opening of the NMR promoters including gene promoters required for reprogramming. Cumulatively, these data suggest that NMR has more stable epigenome than mouse, which resists reprogramming and may contribute to NMR longevity and cancer resistance.
2017-06-21 | GSE83585 | GEO
Project description:We profiled Arabidopsis transcriptom using RNA-seq. Each RNA library yielded 223-250 million 101-bp single-end reads (235M on average). Using Tophat and Cufflinks, 30,199~30,650 assembled transcripts were identified in each of 4 samples. Of them, 1340 ones were derived from intergenic regions including 278 long intergenic ncRNAs (LincRNAs). Comparing with the 6,480 lincRNAs we identified by analysis of 200 tiling array data sets, 2,708 lincRNAs were also detected by RNA-seq.
2012-08-23 | GSE38612 | GEO