Ljiljana Paša‐Tolić

This study examines how fluctuating redox conditions affect microbial communities and carbon cycling in tropical soils, finding that microbial communities adapt to dynamic redox conditions and distinct carbon compounds are cycled under varying redox regimes.

This paper uses spatial microproteomics to characterize the proteomic landscape of Bacillus subtilis biofilms, identifying subpopulations through proteoform analysis.

This study investigates how varying PDA media strengths affect the growth of Colletotrichum sublineola using proteomics and metabolomics, revealing nutrient limitation-induced sporulation and metabolic reprogramming.

This study shows that reduced winter precipitation lowers microbial growth efficiency and shifts soil organic carbon composition in a California grassland.

This study shows LIK1 interacts with P2K1 and regulates eATP signaling in Arabidopsis, expanding its role beyond chitin signaling.

This study maps age-related cellular senescence in human lymph nodes, identifying senescence markers and spatial shifts in germinal center B cells.

This study uses cryo-EM and cross-linking to reveal the oligomeric structure of plant biotin carboxylase, showing asymmetric dimer-of-dimers and dynamic B-domain interactions.

This study examines how drought affects the formation and persistence of mineral-associated organic matter in grassland soil, finding reduced formation but enhanced persistence of detrital-derived MAOM.

This study evaluates chemical decrosslinking to improve proteome coverage in FFPE tissues, finding that 3,4-diaminobenzoic acid enhances precursor identifications in pancreatic samples.

This paper develops a high-throughput single-cell proteomic method for PBMCs, achieving 660 cells per day with 750 protein identifications per cell and identifying low-frequency cell types.

This study applies single-cell proteomics to Arabidopsis leaf mesophyll cells to identify drought stress-related proteins and changes in protein networks.

The paper introduces nanoSPINS, a platform for high-throughput single-cell multiomics that integrates transcriptomic and proteomic profiling from the same cells, demonstrating improved throughput and statistical power.

This paper introduces multi-tiered Dicers for microdissection, achieving better protein preservation and higher peptide/protein yield compared to LCM at 10-20 micron resolution.

The paper uses activity-targeted metaproteomics to study rare syntrophic bacteria in anaerobic communities, revealing their metabolic activity and a previously hypothesized oxidative glycine pathway.

This paper uses top-down proteomics to analyze changes in proteoforms of human pancreatic islets after cytokine treatment, identifying potential markers for T1D progression.

This study identifies over 2500 S-acylation sites in Arabidopsis membrane proteins, revealing potential substrates for PAT5 and PAT9 and highlighting their roles in plant immunity and signaling.

This paper develops a spatial proteomics workflow to identify and map proteoforms in human kidney tissue, revealing spatially distinct proteomic profiles between glomeruli and tubules.

This study examines the chemical phenotypic flexibility of Pinus uncinata along an altitudinal gradient using eco-metabolomics, revealing significant metabolome shifts at the edges of the distribution.

The paper introduces nanoSPLITS, a platform for simultaneous transcriptome and proteome profiling of single cells, and demonstrates its application in cell cycle regulation and cell type identification.

The paper creates a high-resolution cellular atlas of healthy and injured kidney cell states and niches using single-cell and spatial technologies, identifying molecular signatures and pathways related to kidney injury.

This paper introduces TIFF, a method enhancing single-cell proteomics sensitivity and accuracy by filtering background ions and using 3D MS1 feature matching, achieving deep proteome analysis in single cells.

This paper introduces a nested nanowell chip to improve single-cell proteomics throughput and robustness, demonstrating the ability to quantify ~1500 proteins from ~100 cells with low abundance variation.