LIPID MAPS® Highlights

Selected content from the LIPID MAPS® Consortium, including new and updated tools, data interfaces, tutorials, meeting notices, and more.

New look to the LMSD lipid pages

26th May 2021

We’ve just updated the pages for each lipid in the LMSD database to give them a fresh look and a few extra features. All the information that was there before is still present, but the page is slightly rearranged.
We’ve added a taxonomy section to indicate which species we curated the lipid from, and the paper describing it. Of course many lipids are ubiquitous, but these data should help inform your study. For instance, in a human lipidomics study, one is unlikely to encounter lipids found in starfish (such as 24-northornasterol A). Populating this information for the lipids we already have is an ongoing task, but as we add new lipids, we’ll definitely show where they have come from.
Updating the LMSD pages enables us to add other exciting features we have planned, so watch this space!

LIPID MAPS® Highlights Archive

Spring School Recordings are now Live!

10th May 2021

Visit our LIPID MAPS YouTube channel to listen to the whole week of recordings. There are over 40 presentations for you to watch, with 33 speakers who are top-level experts in lipid biology and lipidomics. The presentations include a variety of tools, resources and research.
All of the presentations are clearly displayed so you can choose which themes/topics you would like to watch!
Our YouTube channel hosts our live webinar series, and a vast array of tutorials, including BioPAN. Plus you can listen to our recently launched Podcasts with Bill Christie and Matthew Conroy.
Don’t forget if you subscribe to our YouTube channel you will receive alerts when we upload new recordings!

Lipid Calculator

9th April 2021

Lipid Calculator is an iPhone app that can calculate the accurate mono-isotopic molecular weight of tens of thousands lipid molecular species as well as positive and negative molecular ions and several molecular ion adducts.
This application provided by LIPIDMAPS can be used to support lipid biochemists in their lipidomic investigations when electrospray ionization mass spectrometry is employed.
LipidCalc can calculate the accurate mono-isotopic molecular weight of tens of thousands lipid molecular species as well as positive and negative molecular ions and several molecular ion adducts.
View in App Store

12th March 2021

We are looking for experts in lipid biochemistry to help create a new knowledge base.
During the next 6 months LIPID MAPS will be working with WikiPathways to support expert community curation of lipids and pathways/networks for lipidomics. We plan to create new pathways and then integrate these with LIPID MAPS Structure Database (LMSD) to enable development of tools for lipidomics systems biology.

To do this, we need our curation team to work with domain experts in specific lipid pathways so we can capture high quality accurate biochemical information, including reactions, genes, organism/tissue localisation of lipids and their reactions.
Are you working on a lipid metabolic pathway, and are interested to be involved?
Curated information will be tagged with publications and contributors will be credited.
Please get in touch with Valerie O’Donnell: o-donnellvb@cardiff.ac.uk

Lipid Trends has arrived!

9th March 2021

This new Lipid Trends page, highlights novel and exciting articles and research trends, that are of interest to the lipid community. A curated collection of hot picks from the world of lipid research will be available for you!

Suggestions for articles to be presented on Lipid Trends may submitted here. The committee will review articles and curate the upcoming trends.

Standardizing Reference Nomenclature

30th November 2020

RefMet provides a standardized reference nomenclature for metabolite species (including over 100,000 lipid annotations) identified by analytical chemistry techniques.

The recent Nature Methods publication "RefMet: a reference nomenclature for metabolomics" describes this resource which is available as an online name-conversion tool on this website.

22nd November 2020

LIPID MAPS is delighted to announce the development of new partnerships from our recent sponsors from both Merck and SCIEX.
Merck have become sponsors of the webinar series, whilst SCIEX are our first sponsors of the Spring School.
We would like to thank both companies for their support and look forward to working with them throughout 2021. The sponsorship enables us to forge partnerships and assists with the sustainability of LIPID MAPS, a community driven free resource.

LIPID MAPS® Job Vacancy

16th November 2020

LIPID MAPS® is looking for a biocurator to co-ordinate and either lead or support, based on level of expertise, on a major curation and tool development project, focused on network and pathway analysis of lipidomics data at lipid, protein and gene level that will be hosted on LIPID MAPS. Part of the role will include linking with other external lipid/pathways/small module databases and participate in collaborative work to generate information for new interoperable resources. This will include updating current content in LIPID MAPS gene and proteome database.

New publications from LIPID MAPS

14th October 2020

How to describe a lipid by name? Our new paper in J. Lipid Res. on Classification, Nomenclature and Shorthand Notation for MS-derived lipid structures details how to describe lipids at all levels of structural annotation, with COMP_DB updated to facilitate Bulk searches for MS data.

Updated LipidFinder 2.0, software for post processing lipidomics MS data is now available on the LIPIDMAPS website and described in Bioinformatics. New features include artefact filtering, contaminant removal, FDA, bulk-structure identification and API link with XCMS.

New nomenclature tools

10th June 2020

New tools, aimed at facilitating data sharing and cross-study comparison of lipidomics data sets:
  • Convert lipid names to standardized nomenclature
  • Displays levels of lipid structural resolution

New tool available on LIPID MAPS®: BioPAN

1st March 2020

BioPan allows you to perform a pathway analysis from a lipidomics dataset. In this analysis, systematic changes in lipid pathways can be explored at different levels: lipid class and lipid species. Those pathways will be highlighted and changes in enzyme activity will also be predicted.

LIPID MAPS® Webinar Series: Progress in Quantitative Lipidomics

1st February 2020

Phospholipids and Glycerides to be presented by Professor Emeritus Robert "Bob" Murphy
Tuesday, February 25th, 2020 - 9am PST / 12pm EST / 5pm GMT

LIPID MAPS® Webinar Series: Progress in Quantitative Lipidomics

1st January 2020

Phospholipids and Glycerides to be presented by Professor Emeritus Robert "Bob" Murphy
Tuesday, February 25th, 2020 - 9am PST / 12pm EST / 5pm GMT

December, 2019

LIPID MAPS® Webinar Series: Progress in Quantitative Lipidomics
Lipidomics of Free and Complexed Fatty Acids, Eicosanoids and Related Oxylipins
Tuesday, Dec 10th, 2019                                                             Register Now!
9am PST / 12pm EST / 5pm GMT / 12am CST (December 11th)
to be presented by Professor Edward Dennis

November, 2019

LIPID MAPS® WikiPathways   —  LIPID MAPS® has contributed a set of 10 pathways to the WikiPathways project. Pathways include metabolism of cholesterol, eicosanoids, glycerolipids, omega fatty acids, and sphingolipids.

October, 2019

LIPID MAPS® Webinar Series
Watch now
Updated 10/16/2019

— How to navigate the omics of sphingo and glycosphingo lipidomics

Thank you to our attendees who helped launch our Webinar Series with Professor Al Merrill. If you were unable to join us, the webinars were recorded and are available to watch now.

Our future webinars will include presentations from Professor Ed Dennis, Professor Robert Murphy, Professor William Griffiths and Professor Michael Wakelam. Dates and times for upcoming webinars will be announced on the Lipidomics Gateway soon. You can also follow us on twitter @lipidmaps for updates.

September, 2019

LIPID MAPS® Webinar Series
Learn more / Register
Updated 08/28/2019

— How to navigate the omics of sphingo and glycosphingo lipidomics

Wednesday, October 2nd, 2019 and Tuesday, October 15th, 2019 mark the beginning of our upcoming webinar series featuring presentations from several lipidomics experts, who will introduce basic features related to structure, function, and metabolism, and discuss biochemistry and analysis of various lipid classes. The series will begin with two webinars by Alfred H. Merrill, a pioneer in the field of sphingolipids.

Stay tuned for details!

August, 2019

LIPID MAPS® Webinar Series Learn more / Register
— How to navigate the omics of sphingo and glycosphingo lipidomics

Wednesday, October 2nd, 2019 and Tuesday, October 15th, 2019 mark the beginning of our upcoming webinar series featuring presentations from several lipidomics experts, who will introduce basic features related to structure, function, and metabolism, and discuss biochemistry and analysis of various lipid classes. The series will begin with two webinars by Alfred H. Merrill, a pioneer in the field of sphingolipids.

Stay tuned for details!

July, 2019

Lipidomics Analysis SoftwareDownload software developed by the LIPID MAPS® Consortium or link to resources offered on external websites.

June, 2019

Lipidomics Methods and Protocols Methods and protocols organized by lipid category, covering: Fatty acyls, Glycerolipids, Glycerophospholipids, Sphingolipids, Sterol lipids, Prenol lipids, Multiple lipid categories.

May, 2019

The LipidWeb

We are pleased to announce the availability of "The LipidWeb" — a wonderful encyclopedia of lipids from Bill Christie. The LipidWeb, developed and maintained by Bill since 1999, provides a well-rounded introduction to lipids for readers who are new to the field; tutorials on lipid analysis by GC-MS; references to over 12,000 journal articles, with dozens of references to articles describing novel analytical methodology added each month; and Bill's popular weekly blog, "Lipid Matters".

We are delighted to partner with Bill in providing this important educational resource for the lipidomics community.

Apr, 2019

Lipidomic Ion Mobility Database — Ion Mobility Data mapped to the LIPID MAPS® classification system

The Lipidomic Ion Mobility database was developed in collaboration with the McLean research group at Vanderbilt University, Nashville, TN who have generated a repository (The Unified Compendium) of > 3800 experimentally acquired CCS values obtained from traceable molecular standards and measured with drift tube-mass spectrometers. A subset of 835 lipid measurements has been mapped to the LIPID MAPS® classification system and is available as a searchable database that contains representatives from 7 of the 8 major lipid categories.

Mar, 2019

MS Bulk Structure Searches — Perform searches on a variety of lipid classes with a list of precursor ions or peaklist.

To better serve the needs of the lipidomics research community, we have, in collaboration with the Lipidomics Standards Initiative (LSI), developed a new set of interfaces for searching LIPID MAPS® databases with a list of MS precursor ions. These interfaces enable users to find "bulk", or "chain composition" structures corresponding to specified precursor ions, ion adducts, and mass tolerance, with options to filter by lipid class. Search results inlcude links to examples of discrete structures in the LIPID MAPS® Structure Database (LMSD) and computationally-generated lists of structures from all chain lengths, where applicable.

Feb, 2019

Instructional Videos — Introduction to Lipids by Edward A. Dennis

These instructional videos, now available via YouTube, were prepared for students in the UCSD School of Medicine and School of Pharmacy and Pharmaceutical Sciences by Professor Edward A. Dennis, Department of Chemistry and Biochemistry and Department of Pharmacology, School of Medicine, University of California, San Diego. The videos cover:

  • Fats and Energy Metabolism
  • Lipoprotein Structure and Receptor Function
  • Cholesterol Regulation and Homeostasis
  • Bioenergetics and Mitochondrial Functioning
  • Specialized Lipids and Disease

Jan, 2019

LIPID MAPS® Structure Database (LMSD) Structure-Data File (SDF) Download

The LIPID MAPS® Structure Database (LMSD) now contains over 43,000 entries. Download the latest exports of structures and annotations — updated January 3rd, 2019 — from the LIPID MAPS® Structure Database (LMSD) as an SDF.

Annotations include:
LM_ID, COMMON_NAME, SYSTEMATIC NAME, CATEGORY, MAIN CLASS, SUB CLASS,
CLASS LEVEL4, PUBCHEM COMPOUND ID, EXACT MASS, FORMULA, INCHI KEY,
INCHI STRING, SMILES, MOLFILE, ABBREVIATION, STATUS

Dec, 2018

We are delighted to announce that Avanti Polar Lipids have generously made available to LIPID MAPS® their new tutorial videos hosted by Prof Bob Murphy. These instructional tutorials cover a range of common analytical issues in lipid mass spectrometry. Avanti were core members of the LIPID MAPS® consortium since 2003 and we are grateful for their continued support. Read more about Avanti on our Sponsors page.

Nov, 2018

Statistical Analysis Tools for User-Uploaded Data — Load your own table of processed data grouped by experimental conditions and perform online statistical analyses.

Analysis options include:

  • Normalization and scaling
  • Bargraphs and Boxplots
  • Univariate Analysis (Volcano plots and ANOVA analysis)
  • Class enrichment analysis via RefMet and Volcano plots
  • Clustering and Correlation
  • Multivariate Analysis (PCA, LDA analysis)
  • Classification/Feature Analysis (Random-Forest, OPLS-DA/VIP analysis)

Oct, 2018

  • Partnership with Lipid Standards Initiative (LSI) — The LIPID MAPS® Consortium (LIPID MAPS®) has partnered with the Lipid Standards Initiative (LSI) in a collaborative effort to better serve the needs of lipidomics researchers. LSI aims to create a common standard for minimum acceptable data quality and reporting for lipidomics. Read more about LSI on our Academic Partners page.
  • Lipidomics Methods and Protocols — organized by lipid category

Sept, 2018

New tools and a new in-silico database

  • LipidFinder: A computational workflow for discovery of lipidsLipidFinder is an open-source Python workflow that searches a number of different databases to obtain putative identification of lipids, and assigns them to a class based on the LIPID MAPS® classification system. The software quickly distinguishes and quantifies lipid-like features from contaminants, adducts and noise in high resolution liquid chromatography/mass spectrometry (LC/MS) datasets that have been pre-aligned using XCMS.
  • Search a computationally-generated database of oxidized glycerophospholipid chain-composition masses — A virtual database composed of major classes of oxidized lipid species has been generated from a list of commonly occurring acyl/alkyl chains (listed below). Chain positions and double bond regiochemistry and geometry are not specified. Search the database by entering a list of precursor ion m/z values in the text box, optionally restrict the search to certain lipid classes and then select an appropriate ion type and mass tolerance range.
  • LIPID MAPS® In-Silico Structure Database (LMISSD) — The LIPID MAPS® In-Silico Structure Database (LMISSD) is a relational database generated by computational expansion of headgroups and chains for a large number of commonly occurring lipid classes. It has been designed from an analytical chemistry perspective such that a hierarchy of sum composition, chain composition and exact structures may be browsed for the various lipid classes. It contains over 1.1 million structures and is a separate entity from the curated LIPID MAPS® Structure Database (LMSD) which is a repository for experimentally identified lipids.

Aug, 2018

New tools and a new in-silico database

  • LipidFinder: A computational workflow for discovery of lipidsLipidFinder is an open-source Python workflow that searches a number of different databases to obtain putative identification of lipids, and assigns them to a class based on the LIPID MAPS® classification system. The software quickly distinguishes and quantifies lipid-like features from contaminants, adducts and noise in high resolution liquid chromatography/mass spectrometry (LC/MS) datasets that have been pre-aligned using XCMS.
  • Search a computationally-generated database of oxidized glycerophospholipid chain-composition masses — A virtual database composed of major classes of oxidized lipid species has been generated from a list of commonly occurring acyl/alkyl chains (listed below). Chain positions and double bond regiochemistry and geometry are not specified. Search the database by entering a list of precursor ion m/z values in the text box, optionally restrict the search to certain lipid classes and then select an appropriate ion type and mass tolerance range.
  • LIPID MAPS® In-Silico Structure Database (LMISSD) — The LIPID MAPS® In-Silico Structure Database (LMISSD) is a relational database generated by computational expansion of headgroups and chains for a large number of commonly occurring lipid classes. It has been designed from an analytical chemistry perspective such that a hierarchy of sum composition, chain composition and exact structures may be browsed for the various lipid classes. It contains over 1.1 million structures and is a separate entity from the curated LIPID MAPS® Structure Database (LMSD) which is a repository for experimentally identified lipids.

July, 2018

We welcome your inquiries and feedback!

Please let us know what you think of our updated website and let us know what you might like to see in the future. Your input helps us to better understand the needs of our users and to improve the quality and availability of resources on the LIPID MAPS Lipidomics Gateway.

June, 2018

Colleagues,

We are delighted to launch the new LIPID MAPS Lipidomics Gateway, funded by the Wellcome Trust and jointly hosted by Cardiff University, Babraham Institute and University of California San Diego (UCSD). These are exciting times as we move forward with Phase II of this global project.

Our new site provides easier access to the most utilized areas: Lipid Classification System; Structure Database; and Tools. Curation has restarted, with over 500+ new lipid molecules added in the last few months with many now featured in our structure drawing tools.

Back in 2016, we asked you what you would like to see on LIPID MAPS, and in response we provide new features including raw MS data deposition in collaboration with Metabolomics Workbench (which already hosts over 500 lipidomics studies), and statistical analysis tools. We include a contact form for you to get in touch with us and provide feedback. We also have a registration facility, and will be using this as a mailing list in the coming months to send out a periodic newsletter. Registration is quick and easy.

Over the coming months, new features will be added including updated protocols and systems biology/pathway tools. We are keen to hear from potential partners in the areas of education, outreach and standardisation, as well as commercial partners. We are committed to working with our users to provide more and better tools to our global research community, and remain at heart a community driven open-access resource.


Best wishes,

LIPID MAPS

April, 2018

Subcellular fractionation studies on macrophages Measurements of lipid quanitities present in various cell fractions (cytoplasm, ER, mitochondria, nucleus, plasma membrane) for control and treatment with Kdo2-Lipid A. Experiments were conducted with RAW264.7 cells.

March, 2018

Subcellular fractionation studies on macrophages Measurements of lipid quanitities present in various cell fractions (cytoplasm, ER, mitochondria, nucleus, plasma membrane) for control and treatment with Kdo2-Lipid A. Experiments were conducted with RAW264.7 cells.

February, 2018

LIPID MAPS Structure Database (LMSD) Structure-Data File (SDF) Download

Download the latest exports of structures and annotations — updated December 12, 2017 — from the LIPID MAPS Structure Database (LMSD) as an SDF.

Annotations include:
LM_ID, COMMON_NAME, CATEGORY, MAIN_CLASS, SUB_CLASS, CHEBI_ID, INCHI_KEY,LIPID_MAPS_CMPD_URL, PUBCHEM_SUBSTANCE_URL, SYSTEMATIC_NAME, SYNONYMS,EXACT_MASS, FORMULA, LIPIDBANK_ID, PUBCHEM_SID, KEGG_ID, HMDBID, INCHI KEY, INCHI STRING, STATUS

January, 2018

PlantFA Database

LIPID MAPS has recently incorporated several hundred plant fatty acid structures, including common names and other annotations from the PlantFA Database (https://plantfadb.org/) at Michigan State University. This resource provides updates and enhancements to the Seed Oil Fatty Acid (SOFA) database at the Max Rubner-Institute (http://sofa.mri.bund.de). The PlantFA Database contains data and references for hundreds of fatty acids synthesized by thousands of plants along with their phylogenetic relationships. Currently the LIPID MAPS Structure Database contains over 550 plant fatty acids with links to the corresponding PlantFA online source, for example Coniferonic acid with a PlantFA id of 10121.

December, 2017

Lipidomics Services

LIPID MAPS methodology and protocols are freely available in our Lipidomics methods and protocols sections. MS standards are available from Avanti Polar Lipids, Inc.

Lipidomics analyses using these protocols and standards are available from the LIPID MAPS Lipidomics Core at UC San Diego and from Avanti on a fee for service basis.

November, 2017

The LIPID MAPS Structure Database (LMSD) is a relational database encompassing structures and annotations of biologically relevant lipids and includes representative examples from each category of the LIPID MAPS Lipid Classification System. LMSD is the largest public lipid-only database in the world, containing over 40,000 unique lipid structures. Entries include lipids from human, mouse, plants, bacteria, fungi, algae and marine organisms, and computationally generated structures (annotated as such).

October, 2017

The LIPID MAPS Structure Database (LMSD) is a relational database encompassing structures and annotations of biologically relevant lipids and includes representative examples from each category of the LIPID MAPS Lipid Classification System. LMSD is the largest public lipid-only database in the world, containing over 40,000 unique lipid structures. Entries include lipids from human, mouse, plants, bacteria, fungi, algae and marine organisms, and computationally generated structures (annotated as such).

September, 2017

LIPID MAPS Protocols - Protocols developed by the LIPID MAPS Consortium for equipment and supplies, procedures, and solutions. Procedure protocols include protocols for primary macrophages, treatment with Kdo2-Lipid A, treatment with 25-OHC, subcellular fractionation, extraction and analysis of various lipid categories, and more. Solution protocols include protocols for Kdo2-Lipid A, growth mediums for primary and cultured macrophages, stock solutions, standards, and more.

August, 2017

We are pleased to announce a collaboration with William (Bill) W. Christie, who has kindly agreed to share some of the valuable lipid resources from his website, 'The Lipid Web'. To that end, his blog, "Lipid Matters - A Personal Blog" is now available via the LIPID MAPS Lipidomics Gateway.

The July 19th, 2017 entry begins:

In the search for new antibiotics, lipopeptides appear to offer great potential if problems of toxicity can be overcome. Paenibacillus sp. have proved to be of special interest, and a new report describes a fresh isolate that produces novel cyclic and linear lipopeptides . . . more lipid matters

July, 2017

LIPID MAPS Structure Drawing Tools - Draw and save complex lipid structures using either a simple menu-based interface or by entering an abbreviation (where appropriate). Structures are rendered with Javascript / Ketcher and may be saved in a number of formats.

June, 2017

LIPID MAPS mass spectrometry combinatorial expansion package - The LIPID MAPS mass spectrometry combinatorial expansion package contains a set of PHP scripts to generate datasets contining species name, m/z and molecular formula for some of the main lipid categories: Glycerophospholipids (GP); Glycerolipids (GP); Cardiolipins (GP); Sphingolipids (SP). Generate a tabular output of lipid species containing the species abbreviation, nominal mass, exact mass (or m/z if charged), molecular formula, ion type (if specified) by a combinatorial expansion of a user-specified range of chain lengths and chain-length-to-double-bond restrictions. The output is printed to standard output (screen) but may conveniently be saved to a tab-delimited file.

May, 2017

Lipidomics Services - LIPID MAPS methodology and protocols are freely available in our Lipidomics methods and protocols sections. MS standards are available from Avanti Polar Lipids, Inc.

Lipidomics analyses using these protocols and standards are available from the LIPID MAPS Lipidomics Core at UC San Diego and from Avanti on a fee for service basis.

April, 2017

LIPID MAPS Classification updates: The LIPID MAPS Classification system, comprised of eight lipid categories -- Fatty Acyls, Glycerolipids, Glycerophospholipids, Sphingolipids, Sterol Lipids, Prenol Lipids, Saccharolipids, and Polyketides, each with its own subclassification hierarchy -- now includes a new Polyketides class, "Phenolic lipids", with 5 subclasses; In addition, there are now 3 new subclasses of Octadecanoids; 3 new subclasses of Eicosanoids; and 7 new subclasses of Docosanoids.

March, 2017

LIPID MAPS REST service The LIPID MAPS REST service enables access to a variety of data (including lipid structures and lipid-related genes/proteins) using HTTP requests. These requests may be carried out using a web browser or may be embedded in 3rd party applications or scripts to enable programmatic access. Most modern programming languages including PHP, Perl, Python, Java and Javascript have the capability to create HTTP request and interact with datasets such as this REST service.

Funding opportunity - The NBIA Disorders Association is accepting applications for one-year grants for related to the early detection, diagnosis, or treatment of patients with two forms of NBIA: Beta-propeller Protein-Associated Neurodegeneration (BPAN), and Fatty Acid Hydroxylase-associated Neurodegeneration (FAHN), caused by a mutation in the FA2H gene.

February, 2017

Keystone Symposia
on Molecular and Cellular Biology:
Lipidomics and Bioactive Lipids in Metabolism and Disease

Feb 26 - Mar 2, 2017
Tahoe City, California, USA

January, 2017

Keystone Symposia
on Molecular and Cellular Biology:
Lipidomics and Bioactive Lipids in Metabolism and Disease

Feb 26 - Mar 2, 2017
Tahoe City, California, USA

December, 2016

Keystone Symposia
on Molecular and Cellular Biology:
Lipidomics and Bioactive Lipids in Metabolism and Disease

Feb 26 - Mar 2, 2017
Tahoe City, California, USA

November, 2016

LIPID MAPS Proteome Database (LMPD) - The LIPID MAPS Proteome Database (LMPD) of lipid-related genes and proteins contains data for over 8,500 genes and over 12,500 proteins from Homo sapiens, Mus musculus, Rattus norvegicus, Saccharomyces cerevisiae, Caenorhabditis elegans, Escherichia coli, Macaca mulata, Drosophila melanogaster, Arabidopsis thaliana and Danio rerio.

October, 2016

LIPID MAPS Proteome Database (LMPD) - The LIPID MAPS Proteome Database (LMPD) of lipid-related genes and proteins contains data for over 8,500 genes and over 12,500 proteins from Homo sapiens, Mus musculus, Rattus norvegicus, Saccharomyces cerevisiae, Caenorhabditis elegans, Escherichia coli, Macaca mulata, Drosophila melanogaster, Arabidopsis thaliana and Danio rerio.

September, 2016

LIPID MAPS Proteome Database (LMPD) - The LIPID MAPS Proteome Database (LMPD) of lipid-related genes and proteins contains data for over 8,500 genes and over 12,500 proteins from Homo sapiens, Mus musculus, Rattus norvegicus, Saccharomyces cerevisiae, Caenorhabditis elegans, Escherichia coli, Macaca mulata, Drosophila melanogaster, Arabidopsis thaliana and Danio rerio.

August, 2016

MS Analysis Tools - Perform searches with precursor ion or product ion peaklists on a variety of lipid classes, where structures are generated by computational methods or are present in the LIPID MAPS structure database. Display various structural properties (exact mass, formula, abbreviation, etc.) for matched ions with links to molecular structures and isotopic distribution profiles where appropriate. Generate in-silico product ion peaklists for glycosphingolipids.

July, 2016

Structure Drawing Tools - Draw and save complex lipid structures using either a simple menu-based interface or by entering an abbreviation (where appropriate). Structures are rendered using Javascript / Ketcher and may be saved in a number of formats.

June, 2016

LIPID MAPS lipid standards - MS/MS spectra and more for over 500 lipid standards used by the LIPID MAPS Consortium, searchable by lipid category

May, 2016

postersession
LIPID MAPS Annual Meeting 2016: Lipidomics Impact on Metabolic, Cancer, Cardiovascular and Inflammatory Diseases

Poster abstracts (.pdf) are now available!

April, 2016


LIPID MAPS Annual Meeting 2016: Lipidomics Impact on Metabolic, Cancer, Cardiovascular and Inflammatory Diseases

Important dates

April 01, 2016 - Early registration deadline
March 25, 2016 - Poster abstract deadline
April 10, 2016 - Hotel reservation deadline
April 28, 2016 - Registration cancellation deadline
May 17-18, 2016 - Meeting dates

March, 2016


LIPID MAPS Annual Meeting 2016: Lipidomics Impact on Metabolic, Cancer, Cardiovascular and Inflammatory Diseases

Important dates

April 01, 2016 - Early registration deadline
March 25, 2016 - Poster abstract deadline
April 10, 2016 - Hotel reservation deadline
April 28, 2016 - Registration cancellation deadline
May 17-18, 2016 - Meeting dates

February, 2016

LIPID MAPS Annual Meeting 2016: Lipidomics Impact on Metabolic, Cancer, Cardiovascular and Inflammatory Diseases - Register now to ensure your spot!

Early Registration deadline: March 25, 2016

January, 2016

Key Lipidomics Publications - View a growing list of key publications from members of the LIPID MAPS Consortium and other lipidomics researchers.

LIPID MAPS Annual Meeting 2016: Lipidomics Impact on Metabolic, Cancer, Cardiovascular and Inflammatory Diseases - Register now to ensure your spot!

December, 2015

The LIPID MAPS Proteome Database (LMPD) of lipid-related genes and proteins contains data for over 8,500 genes and over 12,500 proteins from Homo sapiens, Mus musculus, Rattus norvegicus, Saccharomyces cerevisiae, Caenorhabditis elegans, Escherichia coli, Macaca mulata, Drosophila melanogaster, Arabidopsis thaliana and Danio rerio.

LIPID MAPS Annual Meeting 2016: Lipidomics Impact on Metabolic, Cancer, Cardiovascular and Inflammatory Diseases - Register now to ensure your spot!

November, 2015

Lipid of the Month Archive - The LIPID MAPS Lipid of the Month Archive currently lists lipids highlighted from August, 2012 - present. For each lipid, the structure, lipid name, and a brief description are shown. Each lipid is linked to the corresponding entry in the LIPID MAPS Structure Database (LMSD), where LIPID MAPS Classification information, external database IDs, and other annotations may be viewed and downloaded.

LIPID MAPS Annual Meeting 2016: Lipidomics Impact on Metabolic, Cancer, Cardiovascular and Inflammatory Diseases - See the updated list of speakers!

October, 2015

Search a virtual database of lipid classes or the LIPID MAPS structure database (LMSD) with a list of precursor ions. - A database composed of major classes of lipid species has been generated from a list of commonly occurring acyl/alkyl chains. Chain positions and double bond regiochemistry and geometry are not specified. Search the database by entering a list of precursor ion m/z values, selecting an appropriate ion type and mass tolerance range. Optionally restrict the search to certain lipid classes.

LIPID MAPS Annual Meeting 2016: Lipidomics Impact on Metabolic, Cancer, Cardiovascular and Inflammatory Diseases - The meeting program is now available and registration is open!

September, 2015

LIPID MAPS Annual Meeting 2016: Lipidomics Impact on Metabolic, Cancer, Cardiovascular and Inflammatory Diseases

The meeting program tentatively features the following sessions:

- From Cancer Stem Cells to Fatty Liver Disease
- Metabolomics
- Metabolic Diseases
- Eicosadomics and Inflammation
- Cholesterolomics, Oxidized Lipids and Cardiovascular Disease
- Lipid Mediators and Cancer

Registration is Open!

August, 2015

LIPID MAPS Annual Meeting 2016: Lipidomics Impact on Metabolic, Cancer, Cardiovascular and Inflammatory Diseases - Registration is Open!

July, 2015

Save the date! LIPID MAPS Annual Meeting 2016: Lipidomics Impact on Metabolic, Cancer, Cardiovascular and Inflammatory Diseases will take place May 17-18, 2016 at Scripps Forum, UCSD, La Jolla, CA.

See our LIPID MAPS Events Calendar for this and other events.

June, 2015

LIPID MAPS Events Calendar - Over two dozen events are currently listed in this comprehensive directory of meetings, conferences and other events of interest to lipid researchers. Please contact us if you know of an event that should be added to the list!

May, 2015

LIPID MAPS REST service The LIPID MAPS REST service enables access to a variety of data (including lipid structures and lipid-related genes/proteins) using HTTP requests. These requests may be carried out using a web browser or may be embedded in 3rd party applications or scripts to enable programmatic access. Most modern programming languages including PHP, Perl, Python, Java and Javascript have the capability to create HTTP request and interact with datasets such as this REST service.

LIPID MAPS Annual Meeting 2015 - poster titles and abstracts (pdf) are now available for download. Just a few seats remain. Don't miss out on this exciting meeting!

April, 2015

LIPID MAPS Annual Meeting 2015 - Early registration was extended to April 3, 2015. Seats are filling up fast! Don't miss out on this exciting meeting!

March, 2015

LIPID MAPS Proteome Database (LMPD) - The LIPID MAPS Proteome Database (LMPD) of lipid-related genes and proteins contains data for over 8,500 genes and over 12,500 proteins from Homo sapiens, Mus musculus, Rattus norvegicus, Saccharomyces cerevisiae, Caenorhabditis elegans, Escherichia coli, Macaca mulata, Drosophila melanogaster, Arabidopsis thaliana and Danio rerio.

February, 2015

LIPID MAPS Protocols - Protocols developed by the LIPID MAPS Consortium for equipment and supplies, procedures, and solutions. Procedure protocols include protocols for primary macrophages, treatment with Kdo2-Lipid A, treatment with 25-OHC, subcellular fractionation, extraction and analysis of various lipid categories, and more. Solution protocols include protocols for Kdo2-Lipid A, growth mediums for primary and cultured macrophages, stock solutions, standards, and more.

January, 2015

LIPID MAPS Annual Meeting 2015: Lipidomics Impact on Cancer, Metabolic, and Inflammatory Diseases (12th annual meeting) - May 12-13, 2015, La Jolla, CA.

The meeting program tentatively features the following sessions:

- Metabolomics
- Lipidomics of Cancer
- Lipidomics and Metabolic Disease
- Eicosanoids and the Inflammatory Response
- Lipid Interactions with Membrane Proteins
- Lipids and Immunity