Summary of Study ST002751

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001509. The data can be accessed directly via it's Project DOI: 10.21228/M8N71K This work is supported by NIH grant, U2C- DK119886.

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This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST002751
Study TitleBiomolecular condensates create phospholipid-enriched microenvironments (Part 5)
Study TypeMetabolomes of mouse liver
Study SummaryIn this study we used LC-MS and MS/MS to characterize the metabolomes of the input mouse liver metabolites used in the first two studies of this submission.
Institute
Cornell University
DepartmentDepartment of Pharmacology
LaboratoryDr. Samie Jaffrey
Last NameDumelie
First NameJason
Address1300 York Ave, LC-524, New York City, NY
Emailsrj2003@med.cornell.edu
Phone6465690174
Submit Date2023-06-14
Raw Data AvailableYes
Raw Data File Type(s)mzdata.xml
Analysis Type DetailLC-MS
Release Date2023-07-10
Release Version1
Jason Dumelie Jason Dumelie
https://dx.doi.org/10.21228/M8N71K
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Project:

Project ID:PR001509
Project DOI:doi: 10.21228/M8N71K
Project Title:Biomolecular condensates create phospholipid-enriched microenvironments
Project Type:Metabolomics of in vitro condensates
Project Summary:Proteins and RNA are able to phase separate from the aqueous cellular environment to form sub-cellular compartments called condensates. This process results in a protein-RNA mixture that is chemically distinct from the surrounding aqueous phase. Here we use mass spectrometry to characterize the metabolomes of condensates. To test this, we prepared mixtures of phase-separated proteins and cellular metabolites and identified metabolites enriched in the condensate phase. These proteins included SARS-CoV-2 nucleocapsid, as well as low complexity domains of MED1 and HNRNPA1.
Institute:Cornell University
Department:Department of Pharmacology
Laboratory:Dr. Samie Jaffrey
Last Name:Dumelie
First Name:Jason
Address:1300 York Ave, LC-524, New York City, NY
Email:jdumes98@gmail.com
Phone:6465690174
Funding Source:This work was supported by the National Institutes of Health grants R35NS111631 and R01CA186702 (S.R.J.); R01AR076029, R21ES032347 and R21NS118633 (Q.C.); and NIH P01 HD067244 and support from the Starr Cancer Consortium I13-0037 (S.S.G.).
Publications:Under revision
Contributors:Jason G. Dumelie, Qiuying Chen, Dawson Miller, Nabeel Attarwala, Steven S. Gross and Samie R. Jaffrey1

Subject:

Subject ID:SU002858
Subject Type:Mammal
Subject Species:Mus musculus
Taxonomy ID:10090

Factors:

Subject type: Mammal; Subject species: Mus musculus (Factor headings shown in green)

mb_sample_id local_sample_id Factor
SA289465ANP_experiment_set_3_replicate_72 μl
SA289466ANP_experiment_set_3_replicate_82 μl
SA289467ANP_experiment_set_3_replicate_62 μl
SA289468ANP_experiment_set_3_replicate_52 μl
SA289469ANP_experiment_set_3_replicate_22 μl
SA289470ANP_experiment_set_3_replicate_32 μl
SA289471ANP_experiment_set_3_replicate_42 μl
SA289472ANP_experiment_set_3_replicate_14 μl
Showing results 1 to 8 of 8

Collection:

Collection ID:CO002851
Collection Summary:Mouse metabolites were collected from the liver of female mice using methanol extraction. After euthanizing a mouse, the liver was immediately frozen in liquid nitrogen. We then used cold (-20C or colder) 80% methanol to extract metabolites. First, 1 ml of 80% methanol was added to the liver and incubated for 10 min at -20oC. Glass beads were added to the liver and then the liver was lysed by bead-beating for 45 s using a Tissuelyser cell disrupter (Qiagen). The lysate was incubated for 10 min at -20oC and centrifuged (13200 rpm, 5 min) to separate metabolites from macromolecules. The supernatant was collected and 200 µl of 80% methanol was added to the pellet. The incubation, shaking and centrifugation steps were repeated twice to extract more metabolites from the pellet. The three supernatants were combined and centrifuged (14000 rpm, 10 min) to separate any remaining macromolecules from the metabolites. The combined supernatants were dried using a SpeedVac Concentrator (Savant, SPD131DDA) at 25oC and the dried metabolite samples were stored at -80oC.
Sample Type:Liver
Collection Method:80% methanol
Storage Conditions:-80℃

Treatment:

Treatment ID:TR002867
Treatment Summary:All samples were treated identically for this sub-study, except a higher volume (4 μl ANP_experiment_set_3_replicate_1) of one sample was injected than for the other samples (2 μl).

Sample Preparation:

Sampleprep ID:SP002864
Sampleprep Summary:On the day of metabolite analysis, dried-down extracts were reconstituted in 150 µl 70% acetonitrile, at a relative protein concentration of ~ 2 µg/µl. Either 4 µl (replicate 1) or 2 µl (all other replicates) of this reconstituted extract was injected for LC/MS-based targeted and untargeted metabolite profiling.
Extract Storage:-80℃

Combined analysis:

Analysis ID AN004463 AN004464
Analysis type MS MS
Chromatography type Normal phase Normal phase
Chromatography system Agilent Model 1290 Infinity II liquid chromatography system Agilent Model 1290 Infinity II liquid chromatography system
Column Cogent Diamond Hydride (150 × 2.1 mm, 4um) Cogent Diamond Hydride (150 × 2.1 mm, 4um)
MS Type ESI ESI
MS instrument type QTOF QTOF
MS instrument name Agilent 6550 QTOF Agilent 6550 QTOF
Ion Mode POSITIVE NEGATIVE
Units Ion abundance (peak area) Ion abundance (peak area)

Chromatography:

Chromatography ID:CH003350
Chromatography Summary:Tissue extracts were analyzed by LC/MS as described previously, using a platform comprised of an Agilent Model 1290 Infinity II liquid chromatography system coupled to an Agilent 6550 iFunnel time-of-flight MS analyzer. Chromatography of metabolites utilized aqueous normal phase (ANP) chromatography on a Diamond Hydride column (Microsolv). Mobile phases consisted of: (A) 50% isopropanol, containing 0.025% acetic acid, and (B) 90% acetonitrile containing 5 mM ammonium acetate. To eliminate the interference of metal ions on chromatographic peak integrity and electrospray ionization, EDTA was added to the mobile phase at a final concentration of 5 µM. The following gradient was applied: 0-1.0 min, 99% B; 1.0-15.0 min, to 20% B; 15.0 to 29.0, 0% B; 29.1 to 37min, 99% B.
Instrument Name:Agilent Model 1290 Infinity II liquid chromatography system
Column Name:Cogent Diamond Hydride (150 × 2.1 mm, 4um)
Column Temperature:26
Flow Gradient:The following gradient was applied: 0-1.0 min, 99% B; 1.0-15.0 min, to 20% B; 15.0 to 29.0, 0% B; 29.1 to 37min, 99% B.
Flow Rate:0.3 mL/min
Solvent A:50% isopropanol/50% water; 0.025% acetic acid
Solvent B:90% acetonitrile/10% water; 5 mM ammonium acetate
Chromatography Type:Normal phase

MS:

MS ID:MS004210
Analysis ID:AN004463
Instrument Name:Agilent 6550 QTOF
Instrument Type:QTOF
MS Type:ESI
MS Comments:LC/MS-based targeted and untargeted metabolite profiling. For targeted analysis, raw LC/MS data was extracted by MassProfinder 8.0 (Agilent Technologies) using an in-house annotated personal metabolite database that contains 863 metabolites (Agilent Technologies). Additionally, molecular feature extraction (MFE) was performed for untargeted metabolite profiling using MassProfinder 8.0 (Agilent Technologies). The untargeted molecular features were imported into MassProfiler Professional 15.1 (MPP, Agilent Technologies) and searched against Metlin personal metabolite database (PCDL database 8.0), Human Metabolome Database (HMDB) and an in-house phospholipid database for tentative metabolite ID assignments, based on monoisotopic neutral mass (< 5 ppm mass accuracy) matches. Furthermore, a molecular formula generator (MFG) algorithm in MPP was used to generate and score empirical molecular formulae, based on a weighted consideration of monoisotopic mass accuracy, isotope abundance ratios, and spacing between isotope peaks. A tentative compound ID was assigned when PCDL database and MFG scores concurred for a given candidate molecule. Tentatively assigned molecules were reextracted using Profinder 8.0 for confirmation of untargeted results. Only non-lipid metabolites that were identified in study ST002349 were retained for this analysis.
Ion Mode:POSITIVE
  
MS ID:MS004211
Analysis ID:AN004464
Instrument Name:Agilent 6550 QTOF
Instrument Type:QTOF
MS Type:ESI
MS Comments:LC/MS-based targeted and untargeted metabolite profiling. For targeted analysis, raw LC/MS data was extracted by MassProfinder 8.0 (Agilent Technologies) using an in-house annotated personal metabolite database that contains 863 metabolites (Agilent Technologies). Additionally, molecular feature extraction (MFE) was performed for untargeted metabolite profiling using MassProfinder 8.0 (Agilent Technologies). The untargeted molecular features were imported into MassProfiler Professional 15.1 (MPP, Agilent Technologies) and searched against Metlin personal metabolite database (PCDL database 8.0), Human Metabolome Database (HMDB) and an in-house phospholipid database for tentative metabolite ID assignments, based on monoisotopic neutral mass (< 5 ppm mass accuracy) matches. Furthermore, a molecular formula generator (MFG) algorithm in MPP was used to generate and score empirical molecular formulae, based on a weighted consideration of monoisotopic mass accuracy, isotope abundance ratios, and spacing between isotope peaks. A tentative compound ID was assigned when PCDL database and MFG scores concurred for a given candidate molecule. Tentatively assigned molecules were reextracted using Profinder 8.0 for confirmation of untargeted results. Only non-lipid metabolites that were identified in study ST002349 were retained for this analysis.
Ion Mode:NEGATIVE
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