There is an increasing need to conduct bioanalytical chemistry at the single cell level as populations of cells are inherently heterogenous and much detail is lost in bulk analysis. Prior to the onset of this work, single cell lipidomics was limited to a small number of examples in the literature, with existing methodologies utilising mass spectrometry imaging or direct infusion techniques. These techniques suffer from ionisation suppression of low abundance analytes and high instrumental variability due to lack of separation of analytes before reaching the detector. Liquid chromatography on the other hand had not been applied to single cell lipidomics. This thesis describes the efforts to establish, optimise, and apply novel methodologies for live single cell lipidomics using capillary sampling coupled to liquid chromatography mass spectrometry. The development of increasingly informative live single cell lipidomics methodologies is presented in this thesis as four journal articles, three of which have been peer-reviewed and published. The first publication is a review article summarising the state of the art as well as the distinct advantages of selectively sampling live single cells in contrast to mass spectrometry imaging approaches, thus establishing the impetus of this work. The second publication details the method development required to establish a live single cell lipidomics workflow using analytical flow LC-MS through modification of a methodology used to analyse intracellular drugs. As a result, hundreds of single cell-derived lipids were detected and categorised by confidence of identification. The resultant methodology was capable of distinguishing chemotherapy-treated single cells from untreated controls based on lipidomics profile alone. The third publication describes a significant improvement in both the sensitivity and lipid identification of the methodology achieved by implementing automated single cell sampling, microflow LC-MS, and a powerful QToF mass spectrometer. Consequently, an average of 160 MS/MS validated lipids were detected per single cell, with MS/MS spectra acquired from the cells themselves. This methodology was able to detect distinct changes in neutral lipids following imposed oxidative stress, which correlated with live cell imaging of lipid droplets. Finally, the fourth article described application of a novel nanoflow LC-MS methodology to single cell lipidomics sample which had been shipped internationally. Control, directly irradiated and bystander cells were isolated from a novel model of irradiation created to investigate the radiation induced bystander effect, and outputs were compared to a validation dataset which was not shipped. Nanoflow LC-MS/MS post-shipping revealed the samples to be analytically robust, observed distinct changes in polyunsaturated phospholipids in irradiated cells and observed the same changes in bystander cells; therefore highlighting the feasibility of interlaboratory live single cell lipidomics.