Purva Kulkarni
Purva Kulkarni
Translational Metabolic Laboratory, Radboud University Medical Center, Nijmegen, The Netherlands
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Cited by
Cited by
Root traits and belowground herbivores relate to plant–soil feedback variation among congeners
RA Wilschut, WH van der Putten, P Garbeva, P Harkes, W Konings, ...
Nature Communications 10 (1), 1564, 2019
Mass spectrometry imaging of surface lipids on intact Drosophila melanogaster flies
F Kaftan, V Vrkoslav, P Kynast, P Kulkarni, S Böcker, J Cvačka, M Knaden, ...
Journal of Mass Spectrometry 49 (3), 223-232, 2014
Untargeted metabolomics and infrared ion spectroscopy identify biomarkers for pyridoxine-dependent epilepsy
UFH Engelke, RE Van Outersterp, J Merx, FAMG Van Geenen, ...
The Journal of Clinical Investigation 131 (15), 2021
Mapping metabolites from rough terrain: laser ablation electrospray ionization on non-flat samples
B Bartels, P Kulkarni, N Danz, S Böcker, HP Saluz, A Svatoš
RSC advances 7 (15), 9045-9050, 2017
LAESI mass spectrometry imaging as a tool to differentiate the root metabolome of native and range-expanding plant species
P Kulkarni, RA Wilschut, KJF Verhoeven, WH van der Putten, P Garbeva
Planta 248, 1515-1523, 2018
A non-invasive soil-based setup to study tomato root volatiles released by healthy and infected roots
PG Sneha Gulati, Max-Bernhard Ballhausen, Purva Kulkarni, Rita Grosch
Scientific Reports, 2020
Secondary ion mass spectrometry imaging and multivariate data analysis reveal co‐aggregation patterns of Populus trichocarpa leaf surface compounds on a …
P Kulkarni, M Dost, ÖD Bulut, A Welle, S Böcker, W Boland, A Svatoš
The Plant Journal 93 (1), 193-206, 2018
Correcting mass shifts: a lock mass-free recalibration procedure for mass spectrometry imaging data
P Kulkarni, F Kaftan, P Kynast, A Svatoš, S Böcker
Analytical and bioanalytical chemistry 407, 7603-7613, 2015
Metabolomics-based screening of inborn errors of metabolism: enhancing clinical application with a robust computational pipeline
B Hoegen, A Zammit, A Gerritsen, UFH Engelke, S Castelein, ...
Metabolites 11 (9), 568, 2021
Confirmation of neurometabolic diagnoses using age‐dependent cerebrospinal fluid metabolomic profiles
TMA Peters, UFH Engelke, S de Boer, E van der Heeft, C Pritsch, ...
Journal of Inherited Metabolic Disease 43 (5), 1112-1120, 2020
Variable Selection in Untargeted Metabolomics and the Danger of Sparsity
PKJJJ Gerjen H. Tinnevelt, Udo F.H. Engelke, Ron A. Wevers, Stefanie ...
Metabolites 10 (11), 2020
Plasma glycoproteomics delivers high-specificity disease biomarkers by detecting site-specific glycosylation abnormalities
HJCT Wessels, P Kulkarni, M van Dael, A Suppers, E Willems, F Zijlstra, ...
bioRxiv, 2022.05. 31.494121, 2022
Identification of novel biomarkers for pyridoxine-dependent epilepsy using untargeted metabolomics and infrared ion spectroscopy-biochemical insights and clinical implications
UFH Engelke, RE van Outersterp, J Merx, FAMG van Geenen, A van Rooij, ...
medRxiv, 2021.01. 22.20248925, 2021
Application of metabolite set enrichment analysis on untargeted metabolomics data prioritises relevant pathways and detects novel biomarkers for inherited metabolic disorders
B Hoegen, JE Hampstead, UFH Engelke, P Kulkarni, RA Wevers, ...
Journal of Inherited Metabolic Disease 45 (4), 682-695, 2022
Proteomic profiling of striatal tissue of a rat model of Parkinson's disease after implantation of collagen‐encapsulated human umbilical cord mesenchymal stem cells
A Santaella, HJCT Wessels, P Kulkarni, J Gloerich, B Kuiperij, BR Bloem, ...
Journal of Tissue Engineering and Regenerative Medicine 14 (8), 1077-1086, 2020
Exploring the interspecific interactions and the metabolome of the soil isolate Hylemonella gracilis
O Tyc, P Kulkarni, A Ossowicki, V Tracanna, MH Medema, P van Baarlen, ...
Msystems 8 (1), e00574-22, 2023
FAIR Data Cube, a FAIR data infrastructure for integrated multi-omics data analysis
X Liao, A Niehues, C de Visser, J Huang, C Doornbos, THA Ederveen, ...
medRxiv, 2023.04. 23.23289000, 2023
N-linked glycosylation of the M-protein variable region: Glycoproteogenomics reveals a new layer of personalized complexity in multiple myeloma.
P Langerhorst, M Baerenfaenger, P Kulkarni, S Nadal, C Wijnands, ...
bioRxiv, 2023.04. 05.535540, 2023
Benchmarking Outlier Detection Methods for Detecting IEM Patients in Untargeted Metabolomics Data
M Bongaerts, P Kulkarni, A Zammit, R Bonte, LAJ Kluijtmans, HJ Blom, ...
Metabolites 13 (1), 97, 2023
A Multi-omics Data Analysis Workflow Packaged as a FAIR Digital Object
A Niehues, C de Visser, F Hagenbeek, N Karu, A Kindt, P Kulkarni, R Pool, ...
Research Ideas and Outcomes 8, e94042, 2022
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