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MB Sample ID: SA116249
Local Sample ID: | F_20m_3b |
Subject ID: | SU001489 |
Subject Type: | Mammal |
Subject Species: | Mus musculus |
Taxonomy ID: | 10090 |
Genotype Strain: | C57BL/6J |
Age Or Age Range: | 4 months & 20 months |
Gender: | Male and female |
Animal Animal Supplier: | Jackson Laboratories |
Animal Housing: | SPF animal facility at USC |
Select appropriate tab below to view additional metadata details:
Subject:
Subject ID: | SU001489 |
Subject Type: | Mammal |
Subject Species: | Mus musculus |
Taxonomy ID: | 10090 |
Genotype Strain: | C57BL/6J |
Age Or Age Range: | 4 months & 20 months |
Gender: | Male and female |
Animal Animal Supplier: | Jackson Laboratories |
Animal Housing: | SPF animal facility at USC |
Factors:
Local Sample ID | MB Sample ID | Factor Level ID | Level Value | Factor Name |
---|---|---|---|---|
F_20m_3b | SA116249 | FL014438 | Female | Sex |
F_20m_3b | SA116249 | FL014438 | Old | Age |
Collection:
Collection ID: | CO001484 |
Collection Summary: | The hindlimb bones of each mouse were harvested and kept on ice in D-PBS (Corning) supplemented with 1% Penicillin/Streptomycin (Corning) until further processing. Muscle tissue was removed from the bones, and the bone marrow from cleaned bones was collected into clean tubes (Amend et al., 2016). Red blood cells from the marrow were removed using Red Blood Cell Lysis (Miltenyi Biotech #130-094-183), according to the manufacturer’s instructions, albeit with no vortexing step to avoid unscheduled neutrophil activation. Neutrophils were isolated from other bone marrow cells using magnetic-assisted cell sorting (Miltenyi Biotech kit #130-097-658). Viability and yield were assessed using trypan blue exclusion and an automated COUNTESS cell counter (Thermo-Fisher Scientific). Purified cells were pelleted at 300g and snap-frozen in liquid nitrogen until processing for RNA, lipid or metabolite isolation. |
Sample Type: | Bone marrow |
Treatment:
Treatment ID: | TR001504 |
Treatment Summary: | There was no treatment. |
Sample Preparation:
Sampleprep ID: | SP001497 |
Sampleprep Summary: | Metabolites and lipids were extracted from neutrophil cell pellets and analyzed in a randomized order. Extraction was performed using a biphasic separation protocol with ice-cold methanol, methyl tert-butyl ether (MTBE) and water (Contrepois et al., 2018). Briefly, 300μL of methanol spiked-in with 54 deuterated internal standards provided with the Lipidyzer platform (SCIEX, cat #5040156, LPISTDKIT-101) was added to the cell pellet, samples were vigorously vortexed for 20 seconds and sonicated in a water bath 3 times for 30 seconds on ice. Lipids were solubilized by adding 1000μL of MTBE and incubated under agitation for 1h at 4°C. After addition of 250μL of ice-cold water, the samples were vortexed for 1 min and centrifuged at 14,000g for 5 min at 20°C. The upper phase containing the lipids was then collected and dried down under nitrogen. The dry lipid extracts were reconstituted with 300μL of 10 mM ammonium acetate in 9:1 methanol:toluene for analaysis. The lower phase containing metabolites was subjected to further protein precipitation by adding 4 times of ice-cold 1:1:1 isopropanol:acetonitrile:water spiked in with 17 labeled internal standards and incubating for 2 hours at -20°C. The supernatant was dried down to completion under nitrogen and re-suspended in 100μL of 1:1 MeOH:Water for analysis. |
Combined analysis:
Analysis ID | AN002365 | AN002366 | AN002367 | AN002368 |
---|---|---|---|---|
Analysis type | MS | MS | MS | MS |
Chromatography type | HILIC | HILIC | Reversed phase | Reversed phase |
Chromatography system | Thermo Dionex Ultimate 3000 RS | Thermo Dionex Ultimate 3000 RS | Thermo Dionex Ultimate 3000 RS | Thermo Dionex Ultimate 3000 RS |
Column | SeQuant ZIC-HILIC (100 x 2.1mm,3.5um) | SeQuant ZIC-HILIC (100 x 2.1mm,3.5um) | Agilent Zorbax SBaq (50 x 2.1mm,1.7um) | Agilent Zorbax SBaq (50 x 2.1mm,1.7um) |
MS Type | ESI | ESI | ESI | ESI |
MS instrument type | Orbitrap | Orbitrap | Orbitrap | Orbitrap |
MS instrument name | Thermo Q Exactive Plus Orbitrap | Thermo Q Exactive Plus Orbitrap | Thermo Q Exactive Plus Orbitrap | Thermo Q Exactive Plus Orbitrap |
Ion Mode | POSITIVE | NEGATIVE | POSITIVE | NEGATIVE |
Units | MS count | MS count | MS count | MS count |
Chromatography:
Chromatography ID: | CH001735 |
Chromatography Summary: | HILIC experiments were performed using a ZIC-HILIC column 2.1x100 mm, 3.5μm, 200Å (Merck Millipore) and mobile phase solvents consisting of 10mM ammonium acetate in 50/50 acetonitrile/water (A) and 10 mM ammonium acetate in 95/5 acetonitrile/water (B).(Contrepois et al., 2015) |
Instrument Name: | Thermo Dionex Ultimate 3000 RS |
Column Name: | SeQuant ZIC-HILIC (100 x 2.1mm,3.5um) |
Column Temperature: | 40 |
Flow Rate: | 0.5 ml/min |
Solvent A: | 95% acetonitrile/5% water; 10 mM ammonium acetate |
Solvent B: | 95% acetonitrile/5% water; 10 mM ammonium acetate |
Chromatography Type: | HILIC |
Chromatography ID: | CH001736 |
Chromatography Summary: | RPLC experiments were performed using a Zorbax SBaq column 2.1 x 50 mm, 1.7 μm, 100Å (Agilent Technologies) and mobile phase solvents consisting of 0.06% acetic acid in water (A) and 0.06% acetic acid in methanol (B). (Contrepois et al., 2015) |
Instrument Name: | Thermo Dionex Ultimate 3000 RS |
Column Name: | Agilent Zorbax SBaq (50 x 2.1mm,1.7um) |
Column Temperature: | 60 |
Flow Rate: | 0.6 ml/min |
Solvent A: | 100% water; 0.06% acetic acid |
Solvent B: | 100% methanol; 0.06% acetic acid |
Chromatography Type: | Reversed phase |
MS:
MS ID: | MS002207 |
Analysis ID: | AN002365 |
Instrument Name: | Thermo Q Exactive Plus Orbitrap |
Instrument Type: | Orbitrap |
MS Type: | ESI |
MS Comments: | Data processing. Data from each mode were independently analyzed using Progenesis QI software v2.3 (Nonlinear Dynamics). Metabolic features from blanks and that didn’t show sufficient linearity upon dilution were discarded. Only metabolic features present in >33% of the samples in each group were kept for further analysis and missing values were imputed by drawing from a random distribution of small values in the corresponding sample (Tyanova et al., 2016). Metabolic feature annotation. Annotation confidence levels for each metabolite were provided following the Metabolomics Standards Initiative (MSI) confidence scheme. Peak annotation was first performed by matching experimental m/z, retention time and MS/MS spectra to an in-house library of analytical-grade standards (level 1). Remaining peaks were identified by matching experimental m/z and fragmentation spectra to publicly available databases including HMDB (http://www.hmdb.ca/), MoNA (http://mona.fiehnlab.ucdavis.edu/) and MassBank (http://www.massbank.jp/) using the R package ‘MetID’ (v0.2.0) (PMID: 30944337) (level 2). Briefly, metabolic feature tables from Progenesis QI were matched to fragmentation spectra with a m/z and a retention time window of ±15 ppm and ±30 s (HILIC) and ± 20 s (RPLC), respectively. When multiple MS/MS spectra match a single metabolic feature, all matched MS/MS spectra were used for the identification. Next, MS1 and MS2 pairs were searched against public databases and a similarity score was calculated using the forward dot–product algorithm which takes into account both fragments and intensities. Metabolites were reported if the similarity score was above 0.4. Level 3 corresponds to unknown metabolites. |
Ion Mode: | POSITIVE |
Capillary Temperature: | 375C |
Capillary Voltage: | 3.4kV |
Collision Energy: | 25 & 35 NCE |
Collision Gas: | N2 |
Dry Gas Temp: | 310C |
MS ID: | MS002208 |
Analysis ID: | AN002366 |
Instrument Name: | Thermo Q Exactive Plus Orbitrap |
Instrument Type: | Orbitrap |
MS Type: | ESI |
MS Comments: | Data processing. Data from each mode were independently analyzed using Progenesis QI software v2.3 (Nonlinear Dynamics). Metabolic features from blanks and that didn’t show sufficient linearity upon dilution were discarded. Only metabolic features present in >33% of the samples in each group were kept for further analysis and missing values were imputed by drawing from a random distribution of small values in the corresponding sample (Tyanova et al., 2016). Metabolic feature annotation. Annotation confidence levels for each metabolite were provided following the Metabolomics Standards Initiative (MSI) confidence scheme. Peak annotation was first performed by matching experimental m/z, retention time and MS/MS spectra to an in-house library of analytical-grade standards (level 1). Remaining peaks were identified by matching experimental m/z and fragmentation spectra to publicly available databases including HMDB (http://www.hmdb.ca/), MoNA (http://mona.fiehnlab.ucdavis.edu/) and MassBank (http://www.massbank.jp/) using the R package ‘MetID’ (v0.2.0) (PMID: 30944337) (level 2). Briefly, metabolic feature tables from Progenesis QI were matched to fragmentation spectra with a m/z and a retention time window of ±15 ppm and ±30 s (HILIC) and ± 20 s (RPLC), respectively. When multiple MS/MS spectra match a single metabolic feature, all matched MS/MS spectra were used for the identification. Next, MS1 and MS2 pairs were searched against public databases and a similarity score was calculated using the forward dot–product algorithm which takes into account both fragments and intensities. Metabolites were reported if the similarity score was above 0.4. Level 3 corresponds to unknown metabolites. |
Ion Mode: | NEGATIVE |
Capillary Temperature: | 375C |
Capillary Voltage: | 3.4kV |
Collision Energy: | 25 & 35 NCE |
Collision Gas: | N2 |
Dry Gas Temp: | 310C |
MS ID: | MS002209 |
Analysis ID: | AN002367 |
Instrument Name: | Thermo Q Exactive Plus Orbitrap |
Instrument Type: | Orbitrap |
MS Type: | ESI |
MS Comments: | Data processing. Data from each mode were independently analyzed using Progenesis QI software v2.3 (Nonlinear Dynamics). Metabolic features from blanks and that didn’t show sufficient linearity upon dilution were discarded. Only metabolic features present in >33% of the samples in each group were kept for further analysis and missing values were imputed by drawing from a random distribution of small values in the corresponding sample (Tyanova et al., 2016). Metabolic feature annotation. Annotation confidence levels for each metabolite were provided following the Metabolomics Standards Initiative (MSI) confidence scheme. Peak annotation was first performed by matching experimental m/z, retention time and MS/MS spectra to an in-house library of analytical-grade standards (level 1). Remaining peaks were identified by matching experimental m/z and fragmentation spectra to publicly available databases including HMDB (http://www.hmdb.ca/), MoNA (http://mona.fiehnlab.ucdavis.edu/) and MassBank (http://www.massbank.jp/) using the R package ‘MetID’ (v0.2.0) (PMID: 30944337) (level 2). Briefly, metabolic feature tables from Progenesis QI were matched to fragmentation spectra with a m/z and a retention time window of ±15 ppm and ±30 s (HILIC) and ± 20 s (RPLC), respectively. When multiple MS/MS spectra match a single metabolic feature, all matched MS/MS spectra were used for the identification. Next, MS1 and MS2 pairs were searched against public databases and a similarity score was calculated using the forward dot–product algorithm which takes into account both fragments and intensities. Metabolites were reported if the similarity score was above 0.4. Level 3 corresponds to unknown metabolites. |
Ion Mode: | POSITIVE |
Capillary Temperature: | 375C |
Capillary Voltage: | 3.4kV |
Collision Energy: | 25 & 50 NCE |
Collision Gas: | N2 |
Dry Gas Temp: | 310C |
MS ID: | MS002210 |
Analysis ID: | AN002368 |
Instrument Name: | Thermo Q Exactive Plus Orbitrap |
Instrument Type: | Orbitrap |
MS Type: | ESI |
MS Comments: | Data processing. Data from each mode were independently analyzed using Progenesis QI software v2.3 (Nonlinear Dynamics). Metabolic features from blanks and that didn’t show sufficient linearity upon dilution were discarded. Only metabolic features present in >33% of the samples in each group were kept for further analysis and missing values were imputed by drawing from a random distribution of small values in the corresponding sample (Tyanova et al., 2016). Metabolic feature annotation. Annotation confidence levels for each metabolite were provided following the Metabolomics Standards Initiative (MSI) confidence scheme. Peak annotation was first performed by matching experimental m/z, retention time and MS/MS spectra to an in-house library of analytical-grade standards (level 1). Remaining peaks were identified by matching experimental m/z and fragmentation spectra to publicly available databases including HMDB (http://www.hmdb.ca/), MoNA (http://mona.fiehnlab.ucdavis.edu/) and MassBank (http://www.massbank.jp/) using the R package ‘MetID’ (v0.2.0) (PMID: 30944337) (level 2). Briefly, metabolic feature tables from Progenesis QI were matched to fragmentation spectra with a m/z and a retention time window of ±15 ppm and ±30 s (HILIC) and ± 20 s (RPLC), respectively. When multiple MS/MS spectra match a single metabolic feature, all matched MS/MS spectra were used for the identification. Next, MS1 and MS2 pairs were searched against public databases and a similarity score was calculated using the forward dot–product algorithm which takes into account both fragments and intensities. Metabolites were reported if the similarity score was above 0.4. Level 3 corresponds to unknown metabolites. |
Ion Mode: | NEGATIVE |
Capillary Temperature: | 375C |
Capillary Voltage: | 3.4kV |
Collision Energy: | 25 & 50 NCE |
Collision Gas: | N2 |
Dry Gas Temp: | 310C |