Summary of Study ST001173

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 PR000785. The data can be accessed directly via it's Project DOI: 10.21228/M86T1D This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

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Study IDST001173
Study TitleCombinatorial metabolic mixtures for encoding abstract digital data
Study TypeMALDI MS
Study SummaryWe present several kilobyte-scale image datasets stored in synthetic metabolomes, which are decoded with accuracy exceeding 98-99% using multi-mass logistic regression.
Institute
Brown University
DepartmentEngineering
LaboratoryRosenstein Lab
Last NameKennedy
First NameEamonn
AddressBarus & Holley room 353, 184 Hope St
Emaileamonn_kennedy@brown.edu
Phone7737507192
Submit Date2019-04-19
PublicationsE. Kennedy et al. “Encoding information in synthetic metabolomes” Plos One, accepted, 2019
Raw Data AvailableYes
Raw Data File Type(s)hdf5
Analysis Type DetailMALDI-MS
Release Date2019-05-15
Release Version1
Eamonn Kennedy Eamonn Kennedy
https://dx.doi.org/10.21228/M86T1D
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

Select appropriate tab below to view additional metadata details:


Project:

Project ID:PR000785
Project DOI:doi: 10.21228/M86T1D
Project Title:Combinatorial metabolic mixtures for encoding abstract digital data
Project Type:FTICR-MS acquisition of 1536-spot MALDI plates, comprising thousands of mixtures of common metabolites
Project Summary:This data comprises FT-ICR MS readouts of 1536-spot MALDI plates. Each spectra is a measure of a specific metabolic mixture from a library of 36 common metabolites. The combinatorial mixtures of metabolites are used to encode abstract digital data (images). A comprehensive list of the metabolites and specific mixture present in each spot on each plate are provided in metadata files. Data is provided in open-source .hdf5 files.
Institute:Brown University
Department:Engineering
Laboratory:Rosenstein Lab
Last Name:Kennedy
First Name:Eamonn
Address:Barus & Holley room 446, 184 Hope St
Email:eamonn_kennedy@brown.edu
Phone:7737507192
Funding Source:DARPA
Publications:E. Kennedy et al. “Encoding information in synthetic metabolomes” Plos One, accepted, 2019
Contributors:Eamonn Kennedy, Christopher E. Arcadia, Joseph Geiser Peter M. Weber, Christopher Rose, Brenda M. Rubenstein and Jacob K. Rosenstein

Subject:

Subject ID:SU001239
Subject Type:Synthetic
Subject Species:Escherichia coli
Taxonomy ID:562

Factors:

Subject type: Synthetic; Subject species: Escherichia coli (Factor headings shown in green)

mb_sample_id local_sample_id Sample Type
SA081500e0114p03t02standard
SA081501e0112p01t01standard
SA081502e0117p01t01standard
Showing results 1 to 3 of 3

Collection:

Collection ID:CO001233
Collection Summary:Extensive details of the collection parameters are provided in metadata .mat files (see in raw data zip file : README.pdf). Briefly, a Solarix 7T was used to collect FTICR MS data of thousands of MALDI spots comprised of synthetic metabolite mixtures.
Collection Protocol ID:NA
Collection Protocol Filename:There are multiple provided, e.g. please see : raw data zip file, e0114p03t02_instrument_settings.mat
Sample Type:Synthetic Mixture
Collection Method:FTICR MS
Collection Location:Brown University
Collection Frequency:2000
Collection Duration:shot_count: 500, 4x averaging, 1 second duration
Volumeoramount Collected:0.1 nL
Storage Conditions:Room temperature
Collection Vials:1
Storage Vials:36
Collection Tube Temp:RT
Additives:Aminoacridine matrix

Treatment:

Treatment ID:TR001254
Treatment Summary:Combinatorial mixtures of metabolites were deposited using a Labcyte Echo 550 on to a MALDI steel plate at 30-60 nL volumes. Aminoacridine matrix was added in the ratio 0.7:1 to 1:.7 to metabolite concentrations. The spot droplets were air dried. No further treatments were performed prior to data acquisition.

Sample Preparation:

Sampleprep ID:SP001247
Sampleprep Summary:Combinatorial mixtures of metabolites were deposited using a Labcyte Echo 550 on to a MALDI steel plate at 30-60 nL volumes. Aminoacridine matrix was added in the ratio 0.7:1 to 1:.7 to metabolite concentrations. The spot droplets were air dried. No further preparations were performed prior to data acquisition.

Combined analysis:

Analysis ID AN001948
Analysis type MS
Chromatography type None (Direct infusion)
Chromatography system none
Column none
MS Type MALDI
MS instrument type FT-ICR
MS instrument name Bruker Solarix FT-ICR-MS
Ion Mode POSITIVE
Units mM

Chromatography:

Chromatography ID:CH001413
Instrument Name:none
Column Name:none
Chromatography Type:None (Direct infusion)

MS:

MS ID:MS001804
Analysis ID:AN001948
Instrument Name:Bruker Solarix FT-ICR-MS
Instrument Type:FT-ICR
MS Type:MALDI
MS Comments:Extensive details of the data processing are provided in the readme.pdf file, and scripts for directly reading the data in Python are also provided.
Ion Mode:POSITIVE
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