Summary of Study ST002744

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 IDST002744
Study TitleBiomolecular condensates create phospholipid-enriched microenvironments (Part 4)
Study SummaryProteins 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. Here, we confirmed the presence of lipids in MED1 samples and condensates using reversed-phase LC-MS.
Institute
Cornell University
Last NameDumelie
First NameJason
Address1300 York Ave, LC-524, New York City, NY
Emailsrj2003@med.cornell.edu
Phone6466590174
Submit Date2023-06-05
Raw Data AvailableYes
Raw Data File Type(s)mzdata.xml
Analysis Type DetailLC-MS
Release Date2023-07-07
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:SU002851
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 fraction Extraction from condensate
SA289160MED1 Aqueous Sample 6aqueous No heat step
SA289161MED1 Aqueous Sample 5aqueous No heat step
SA289162MED1 Aqueous Sample 4aqueous No heat step
SA289163MED1 Aqueous Sample 9aqueous standard
SA289164MED1 Aqueous Sample 8aqueous standard
SA289165MED1 Aqueous Sample 7aqueous standard
SA289166MED1 Condensate Sample 6condensate No heat step
SA289167MED1 Condensate Sample 5condensate No heat step
SA289168MED1 Condensate Sample 4condensate No heat step
SA289169MED1 Condensate Sample 9condensate standard
SA289170MED1 Condensate Sample 7condensate standard
SA289171MED1 Condensate Sample 8condensate standard
SA289172MED1 Input Sample 4input No heat step
SA289173MED1 Input Sample 6input No heat step
SA289174MED1 Input Sample 5input No heat step
SA289175MED1 Input Sample 9input standard
SA289176MED1 Input Sample 7input standard
SA289177MED1 Input Sample 8input standard
Showing results 1 to 18 of 18

Collection:

Collection ID:CO002844
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 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. The amount of protein in the pellet was measured using the Quick Start Bradford assay to calculate the metabolites’ protein equivalent mass. Mouse metabolites were initially re-suspended in condensate buffer (50 mM NH4HCO3 pH 7.5, 50 mM NaCl, 1 mM DTT) to a protein equivalent concentration of 938 g/l. The chosen final concentration of metabolites is slightly lower than the 200-300 g/l protein concentration observed in cells. Metabolites that were not fully soluble in condensate buffer were removed by centrifugation (2x5 min, 16,000 g each), in which only the supernatant was retained. Purified mCherry tagged MED1 low-complexity domain (37.5 μM) was centrifuged (1 min, 1,000 g) to disrupt any existing condensates and to remove any precipitated proteins. The MED1 (final concentration, 30 μM) was then combined with metabolites (final concentration, 150 g/l protein equivalent) and then phage lambda RNA (final concentration, 0.15 μM) in a total volume of 300 µl. An input sample (10 µl) was saved and then the sample was allowed to incubate for 10 min at 25oC. Condensates were then separated from the aqueous environment by centrifugation (10 min, 12,500 g, 25oC). The aqueous phase was removed from the condensate phase and then equal volumes (usually ~ 2 µl) of the aqueous fraction, condensate fraction and input sample were processed for metabolomics using identical approaches as described below. First the samples were diluted in ammonium bicarbonate buffer (50 mM NH4HCO3 pH 7.5) and briefly heated (2 min, 65oC) to disrupt condensates before being added immediately to 4x volume of ice-cold 100% methanol to precipitate protein and RNA. This heating step was excluded for some samples where noted. Protein and RNA were separated from metabolites by vortexing the samples (2 min), followed by incubation at -25oC (10 min) and then centrifugation (5 min, 13,000 rpm). The supernatant was saved and the process was repeated on the pellet two more times after adding 200 µl of 80% methanol each time to the pellet. The three supernatants were combined and centrifuged (10 min, 14000 rpm) to remove any additional macromolecules. The final supernatant was collected and dried using a SpeedVac Concentrator run at 25oC. Notably, in a subset of experiments, metabolites were added to MED1 condensates after the 10 min incubation rather than prior to the incubation.
Sample Type:Liver
Collection Method:80% methanol
Storage Conditions:-80℃

Treatment:

Treatment ID:TR002860
Treatment Summary:Mouse liver metabolites were combined with the condensate-forming low-complexity domain of MED1. Condensates were stimulated with 150 nM RNA and then incubated for 10 min. In a subset of samples, RNA addition occurred 10 min before metabolite addition. Next, condensates were centrifuged to the bottom of a 600 ul tube. Equal fractions from the input sample, aqueous phase and condensate phases were collected separately. Metabolites were extracted from each fraction using 80% methanol in steps that involved disrupting condensates with heat. In a subset of samples, this heat step was omitted.

Sample Preparation:

Sampleprep ID:SP002857
Sampleprep Summary:Dried-down extracts were reconstituted in 150 µl 70% acetonitrile, at a relative protein concentration of ~ 2 µg/µl. These were stored at -20C until used. In these LC-MS experiments, 4 µl of reconstituted extract was injected for LC/MS-based targeted metabolite profiling for each sample.
Processing Storage Conditions:Described in summary
Extract Storage:-20℃

Combined analysis:

Analysis ID AN004449 AN004450
Analysis type MS MS
Chromatography type Reversed phase Reversed phase
Chromatography system Agilent 1290 Infinity II Agilent 1290 Infinity II
Column Agilent Zorbax Eclipse Plus C18 (100 x 2.1mm, 1.8 um) Agilent Zorbax Eclipse Plus C18 (100 x 2.1mm, 1.8 um)
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 Ion abundance

Chromatography:

Chromatography ID:CH003342
Chromatography Summary:This reversed phase platform was adapted with minor modifications from a previously reported Agilent application note (A Comprehensive, Curated, High-Throughput Method for the Detailed Analysis of the Plasma Lipidome, https://www.agilent.com/cs/library/applications/an-plasma-lipidomics-6495-lc-ms-ms-5994-3747en-agilent.pdf) and showed similar lipid retention times for fatty acids and other lipids, as reported. This platform was comprised of an Agilent Model 1290 Infinity II liquid chromatography system coupled to an Agilent 6550 iFunnel time-of-flight MS analyzer. An Agilent ZORBAX Eclipse Plus C18, 100 × 2.1 mm, 1.8 μm reversed phase column was used for the separation. Mobile phases consisted of (A) 10 mM ammonium formate with 5 μM Agilent deactivator additive in 5:3:2 water:acetonitrile:2-propanol and (B) 10 mM ammonium formate in 1:9:90 water:acetonitrile:2-propanol. Column temperature was set at 55°C and autosampler temperature was at 20°C. The flow rate was 0.4 mL/min. The following gradient was applied: 0 min, 15% B; 0-2.5 min, to 50% B; 2.5-2.6 min, to 57%, 2.6-9 min, to 70% B; 9-9.1 min, to 93% B; 9.1-11.1 min, to 96%; 11.1- 15min, 100% B; 15-20 min, 15% B.
Instrument Name:Agilent 1290 Infinity II
Column Name:Agilent Zorbax Eclipse Plus C18 (100 x 2.1mm, 1.8 um)
Column Temperature:55
Flow Gradient:0 min, 15% B; 0-2.5 min, to 50% B; 2.5-2.6 min, to 57%, 2.6-9 min, to 70% B; 9-9.1 min, to 93% B; 9.1-11.1 min, to 96%; 11.1- 15min, 100% B; 15-20 min, 15% B.
Flow Rate:0.4 mL/min
Solvent A:50% water/30% acetonitrile/20% isopropanol;10 mM ammonium formate with 5 µM Agilent deactivator additive
Solvent B:1% water/9% acetonitrile/90% isopropanol;10 mM ammonium formate
Chromatography Type:Reversed phase

MS:

MS ID:MS004196
Analysis ID:AN004449
Instrument Name:Agilent 6550 QTOF
Instrument Type:QTOF
MS Type:ESI
MS Comments:Raw data were analyzed using Mass Hunter Qualitative analysis (10.0), MassHunter Profinder 8.0 and MassProfiler Professional (MPP) 15.1 software (Agilent technologies). Lipid identification was confirmed in the original samples by comparison with the retention times and masses in a lipidomics PCDL of 665 metabolites developed as recommended by the manufacturer (Agilent).
Ion Mode:POSITIVE
  
MS ID:MS004197
Analysis ID:AN004450
Instrument Name:Agilent 6550 QTOF
Instrument Type:QTOF
MS Type:ESI
MS Comments:Raw data were analyzed using Mass Hunter Qualitative analysis (10.0), MassHunter Profinder 8.0 and MassProfiler Professional (MPP) 15.1 software (Agilent technologies). Lipid identification was confirmed in the original samples by comparison with the retention times and masses in a lipidomics PCDL of 665 metabolites developed as recommended by the manufacturer (Agilent).
Ion Mode:NEGATIVE
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