Lipidomics Class Specific Workflows & Annotation — Hands-on

Implement practical lipidomics workflows from acquisition to annotation. You will focus on major lipid classes, LC MS methods, MS MS fragmentation rules and class aware annotation so that output tables and figures are consistent, interpretable and ready for biological or translational use.

Lipidomics Class Specific Workflows & Annotation

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Session Index

Session 1 — Lipid Classes, Nomenclature & Chemistry Session 2 — LC MS Workflows for Major Lipid Classes Session 3 — MS MS Interpretation & Lipid Annotation Rules Session 4 — Data Processing, QC & Reporting in Lipidomics

Session 1

Fee: Rs 8800

Lipid Classes, Nomenclature & Chemistry

Major lipid classes and structures

glycerophospholipids sphingolipids neutral lipids and sterols

Lipid shorthand notation and naming rules

class level versus species level sum composition and molecular species double bond and sn position notation

Chemical properties that drive chromatography and ionization

head groups and polarity fatty acyl chain length and saturation ionization behavior by class

Session 2

Fee: Rs 11800

LC MS Workflows for Major Lipid Classes

Chromatographic strategies by lipid class

reversed phase for neutral lipids HILIC for head group separation gradient design for broad coverage

Ionization modes and adduct preferences in lipidomics

positive versus negative mode selection ammonium and acetate adducts class dependent signal behavior

DDA and DIA considerations for lipid classes

coverage of low abundant classes cycle time and window choices balancing survey and fragmentation quality

Session 3

Fee: Rs 14800

MS MS Interpretation & Lipid Annotation Rules

Class specific fragmentation patterns

head group fragments neutral loss signatures fatty acyl related ions

Rules for level of structural confidence

class only versus sum composition sn position and double bond level linking rules to annotation levels

Using libraries and in silico tools for lipid annotation

reference spectra and libraries in silico fragmentation support manual review for key candidates

Session 4

Fee: Rs 18800

Data Processing, QC & Reporting in Lipidomics

Class aware peak lists and quant tables

mapping features to lipid classes

QC metrics specific to lipidomics data

class wise RSD and coverage blank and carryover checks monitoring internal standards by class

Lipidomics figures and tables for publications

class distribution plots heatmaps and trend summaries annotation tables with confidence levels

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Lipidomics Class Specific Workflows & Annotation Training | LC MS Lipid Classes & MS MS Interpretation

Lipidomics Class Specific Workflows & Annotation — Hands-on