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Part 1: Document Description
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Citation |
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Title: |
LipidSearch Dataset for Lipidomics in: Aggregating in vitro-grown adipocytes to produce macroscale cell-cultured fat with tunable lipid compositions for food applications |
Identification Number: |
doi:10.7910/DVN/DXGQNH |
Distributor: |
Harvard Dataverse |
Date of Distribution: |
2023-01-11 |
Version: |
1 |
Bibliographic Citation: |
Yuen Jr, John, 2023, "LipidSearch Dataset for Lipidomics in: Aggregating in vitro-grown adipocytes to produce macroscale cell-cultured fat with tunable lipid compositions for food applications", https://doi.org/10.7910/DVN/DXGQNH, Harvard Dataverse, V1 |
Citation |
|
Title: |
LipidSearch Dataset for Lipidomics in: Aggregating in vitro-grown adipocytes to produce macroscale cell-cultured fat with tunable lipid compositions for food applications |
Identification Number: |
doi:10.7910/DVN/DXGQNH |
Authoring Entity: |
Yuen Jr, John (Tufts University) |
Software used in Production: |
LipidSearch |
Grant Number: |
1954-1558 |
Distributor: |
Harvard Dataverse |
Access Authority: |
David Kaplan |
Depositor: |
Yuen Jr, John |
Date of Deposit: |
2023-01-01 |
Holdings Information: |
https://doi.org/10.7910/DVN/DXGQNH |
Study Scope |
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Keywords: |
Agricultural Sciences, Engineering, Medicine, Health and Life Sciences, Other, lipidomics, cultured fat, cultivated fat, in vitro meat, cultivated meat, cultured meat, cell-cultured meat, lab grown meat, adipocytes, adipose, fatty acid composition, lipid supplementation |
Abstract: |
<p> Included here are the datasets received from the Mass Spectrometry Facility (John Asara Laboratory) at the Beth Israel Deaconess Medical Center in Boston, Massachusetts, United States. The datasets are the peak aligned and lipid species-identified LC-MS/MS data output from LipidSearch (ThermoFisher). </p> <p> Samples of in vitro and in vivo adipose tissue were lipid extracted using methyl tert-butyl ether (MTBE) and dried under nitrogen, then submitted to the John Asara Laboratory at the Beth Israel Deaconess Medical Center. LC-MS/MS (lipidomics) was performed on the samples in accordance with Breitkopf et al. 2017. (https://link.springer.com/article/10.1007/s11306-016-1157-8) </p> <p> In our paper "Aggregating in vitro-grown Adipocytes to Produce Macroscale Cell-Cultured Fat with Tunable Lipid Compositions for Food Applications", we processed these datasets to quantify the triacylglyceride and phospholipid contents of our various adipose samples in accordance with https://github.com/mksaad28/Yuen_et_al </p> <p> This dataset includes data on other lipids that are not triacylglycerides/phospholipids. The dataset additionally includes lipidomics data of commercially bought beef and chicken fat, which were not used in our paper. </p> |
Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Bibliographic Citation: |
<p>https://doi.org/10.1101/2022.06.08.495192</p> <p>bioaXiV pre-print name: Macroscale Adipose Tissue from Cellular Aggregates: A Simplified Method of Mass Producing Cell-Cultured Fat for Food Applications</p> <p>Final published title: Aggregating in vitro-grown Adipocytes to Produce Macroscale Cell-Cultured Fat with Tunable Lipid Compositions for Food Applications</p> |
Label: |
Adipocyte_Aggregation_Lipidomics_Raw_Data.xlsx |
Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
Label: |
LipidSearch_Nonpolar_Lipid_Class_Key_2019.xlsx |
Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
Label: |
README.md |
Notes: |
text/markdown |