Biology subjects

Martin, G. S.

Publications and source records attributed to Martin, G. S..

4 recordsLinked to original sources

bioRxiv2026

MSMICA: computational metabolite identification in untargeted metabolomics by integrating MS, retention time, and biological evidence

Mass Spectrometry Metabolomics Identification Connection Algorithm (MSMICA) is an algorithm for automated metabolite identification in untargeted liquid chromatography-high-resolution mass spectrometry (LC-HRMS) analyses. Limitations in metabolite identification can occur due to the availability and cost of standards and prevent recognition of metabolic factors impacting human health and disease. MSMICA performs mass-to-charge-ratio matching with chemical structures and clusters of LC-HRMS features for adduct and isotope forms. A local optimization is then used to integrate retention time prediction, metabolite precursor-product and transporter correlations, and biospecimen-specific abundance information for metabolite identification. Applying MSMICA to various internal and external mammalian datasets, validation results showed a 96.2 +- 5.1% correct rate of metabolite identification. When multiple LC-HRMS datasets were used, MSMICA enabled greater metabolite identifications, expanded metabolic pathway coverage, and data harmonization. Thus, MSMICA applies multiple pieces of evidence to substantially improve metabolite identification coverage and accuracy for known metabolites.

bioinformatics↗

bioRxiv2025

Genes govern metabolism-Enzymes define pathways and metabolic relationships

Gene-centric pathway mapping tools, widely used to interpret untargeted liquid chromatography mass spectrometry (LC-MS) metabolomics data, may underperform because a single metabolite can generate multiple spectral features, inflating false positive rates. Classic enzymology, which established metabolite flow before gene sequencing, offers experimentally validated precursor-product relationships that could overcome these ambiguities. We evaluated whether enzymology-defined precursor-product correlations are consistently detectable in human plasma LC-MS data. We detected amino acids, carnitine-related, TCA cycle, and pentose phosphate pathway metabolites in one individual sampled eight times over five years and in 50 adults sampled 6 to 8 times each. In the single participant repeated measures, strong positive correlations were observed for most direct precursor-product pairs. The longitudinal and cross-sectional analyses reproduced these patterns. Precursor-product proportionality, a fundamental principle of enzymology, is detectable in LC-MS datasets and remains consistent across studies. Applying these correlations to metabolomics workflows can improve pathway analysis, help metabolite identification, and reveal how genetic variations, diets, therapeutic drugs, and environmental exposures jointly impact metabolic pathways.

systems biology↗

bioRxiv2023

Building functional circuits in multispecies brains.

The genome is the ultimate architect of the brain. Its evolutionary variations build the neural circuits that endow each species with its innate senses and behaviors. A central question for neuroscience and translational medicine is whether neural circuits from two species can be made to function in an intact brain. Here, we establish genetic tools and use blastocyst complementation to selectively build and test interspecies neural circuits in rat-mouse brains. Despite [~]10-20 million years of evolution and prominent differences in brain size and cellular composition, rat pluripotent stem cells injected into mouse blastocysts widely populate and persist in the mouse brain. Unexpectedly, the mouse niche reprograms the birthdates of cortical and hippocampal rat neurons, where they also form synaptically active rat-mouse circuits. By genetically disabling host olfactory circuitry, we show that rat neurons restore synaptic information flow from the nose to the cortex. Rat neurons can also rescue a primal olfactory behavior (food-seeking), though less than mouse controls. By enabling a mouse to sense the world with rat neurons, we highlight the power of interspecies neural blastocyst complementation to uncover mechanisms of neural circuit development and evolution, and to inform efforts to rescue neural circuits affected by injury or disease.

developmental biology↗

bioRxiv2020

B cells expressing authentic naive human VRC01-class BCRs can be primed and recruited to germinal centers in multiple independent mouse models

Animal models of human antigen-specific B cell receptors (BCR) generally depend on "inferred germline" sequences, and thus their relationship to authentic naive human B cell BCR sequences and affinities is unclear. Here, BCR sequences from authentic naive human VRC01-class B cells from healthy human donors were selected for the generation of three new BCR knock-in mice. The BCRs span the physiological range of affinities found in humans, and use three different light chains (VK3-20, VK1-5, and VK1-33) found among subclasses of naive human VRC01-class B cells and HIV broadly neutralizing antibodies (bnAbs). The germline-targeting HIV immunogen eOD-GT8 60mer is currently in clinical trial as a candidate bnAb vaccine priming immunogen. To attempt to model human immune responses to the eOD-GT8 60mer, we tested each authentic naive human VRC01-class BCR mouse model under rare human physiological B cell precursor frequency conditions. B cells with high (HuGL18HL) or medium (HuGL17HL) affinity BCRs were primed, recruited to germinal centers, accrued substantial somatic hypermutation, and formed memory B cells. Precursor frequency and affinity interdependently influenced responses. Taken together, these experiments utilizing authentic naive human VRC01-class BCRs validate a central tenet of germline-targeting vaccine design and extend the overall concept of the reverse vaccinology approach to vaccine development.

immunology↗