Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Effects of individual traits vs. trait syndromes on assemblages of various herbivore guilds associated with central European Salix

ABSTRACT: Untargeted metabolomics data generated for the above publication for 13 lowland willows in Czech Republic and Austria. Extraction and methods are reported in Leong et al. (Accepted) and Sedio et al. 2021 Frontiers in Ecology and Evolution, https://doi.org/10.3389/fevo.2021.679638 [doi:10.25345/C59Z90N8R] [dataset license: CC0 1.0 Universal (CC0 1.0)].

INSTRUMENT(S): Q Exactive

ORGANISM(S): Salix Daphnoides (ncbitaxon:470274) Salix Elaeagnos (ncbitaxon:386449) Salix Myrsinifolia (ncbitaxon:339964) Salix Pentandra (ncbitaxon:75715) Salix Rosmarinifolia (ncbitaxon:717491) Salix Myrtilloides (ncbitaxon:669809) Salix Viminalis (ncbitaxon:40686) Salix Aurita (ncbitaxon:470270) Salix Repens (ncbitaxon:467613) Salix Acutifolia (ncbitaxon:1233969) Salix Fragilis (ncbitaxon:77063) Salix Purpurea (ncbitaxon:77065) Salix Triandra (ncbitaxon:77069) Salix Silesiaca Salix Caprea (ncbitaxon:172267) Salix Cinerea (ncbitaxon:470278)

SUBMITTER: Martin Volf Brian E. Sedio

PROVIDER: MSV000092954 | MassIVE |

REPOSITORIES: MassIVE

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Alpine Willows (Salix, Salicaceae)

Project description:Contrasting levels of beta-diversity and underlying phylogenetic trends indicate different paths to chemical diversity in highland and lowland willow species Martin Volf*, Jing Vir Leong, Paola de Lima Ferreira, Tereza Volfova, Petr Kozel, Pavel Matos-Maravi, Elvira Horandl, Natascha D. Wagner, Niko Luntamo, Juha-Pekka Salminen, Simon T. Segar, Brian E. Sedio *Corresponding author: Martin Volf, volf@entu.cas.cz, tel. +420 387775038, Biology Centre, Czech Academy of Sciences, Institute of Entomology, Branisovska 31, 37005 Ceske Budejovice, Czech Republic Untargeted metabolomics data was generated for the above publication for 29 species of willows in the Czech Republic and Austria, encompassing an elevation gradient spanning >2500 m (from 175 to 2620 m asl). Extraction and instrumental methods are reported in Volf et al. 2023 Ecology Letters and Sedio et al. 2021 Frontiers in Ecology and Evolution, https://doi.org/10.3389/fevo.2021.679638

2023-04-21 | MSV000091773 | MassIVE

Smithsonian Forest Global Earth Observatory (ForestGEO): US and Canada

Project description:Data are from Sedio et al. 2021 Frontiers in Ecology and Evolution.

2021-04-16 | MSV000087217 | MassIVE

GNPS - Alpine Willows (Salix, Salicaceae)

2023-04-21 | MSV000091773 | GNPS

GNPS - Smithsonian Forest Global Earth Observatory (ForestGEO): US and Canada

Project description:Data are from Sedio et al. 2021 Frontiers in Ecology and Evolution.

2021-04-16 | MSV000087217 | GNPS

Data-Independent Acquisition Represents a Promising Alternative for Fast Photochemical Oxidation of Proteins (FPOP) Samples Analysis

Project description:We propose a novel approach for FPOP data analysis, utilizing DIA data. The HbHp protein complex was analyzed by FPOP and measured on timsToF SCP in DIA, DDA and MS modes. The IDs of modified peptides were quantified for each acquisition mode and the extent of modification was calculated on the level of peptides. The reproducibility was evaluated by coefficients of variation.This work was mainly financially supported by the Czech Science Foundation (22-27695S), the Technology Agency of the Czech Republic (ODEEP-EU TH86010001), the Ministry of Education, Youth and Sports of the Czech Republic grant PHOTOMACHINES - Photosynthetic cell redesign for high yields of therapeutic peptides (CZ.02.01.01/00/22_008/0004624) and the Academy of Sciences of the Czech Republic (RVO: 61388971).

2024-07-08 | PXD050132 | Pride

Illumina Omni2.5-Octo BeadChip data from 55 Fulani individuals from Ziniare, Burkina Faso and 7 Czechs & Slovaks collected in Prague, Czech Republic.

Project description:Genotype data from 55 Fulani individuals from Ziniare, Burkina Faso and 7 Czechs & Slovaks collected in Prague, Czech Republic The data was typed in Illumina Omni2.5-Octo BeadChip.

2019-11-12 | E-MTAB-8434 | biostudies-arrayexpress

GNPS - CMI - UVA Fecal Metabolomics Longitudinal Dataset

Project description:Metabolic analysis of human stool samples, standard methanol extraction. Data was acquired using a Bruker Daltonics maXis Impact and C18 RP-UHPLC. Positive polarity acquisition of LC-MS/MS. [dataset license: CC0 1.0 Universal (CC0 1.0)] [doi:10.25345/C53W9T] [dataset license: CC0 1.0 Universal (CC0 1.0)]

2019-08-21 | MSV000084219 | GNPS

A large-scale assay library for targeted protein quantification in renal cell carcinoma tissues

Project description:Generation of a new library of targeted mass spectrometry assays for accurate protein quantification in malignant and normal kidney tissue. Aliquots of primary tumor tissue lysates from 86 patients with initially localized renal cell carcinoma (RCC), 75 patients with metastatic RCC treated with sunitinib or pazopanib in the first line and 17 adjacent normal tissues treated at Masaryk Memorial Cancer Institute (MMCI) in Brno, Czech Republic, or University Hospital Pilsen (UHP), Czech Republic, were used to generate the spectral library. Two previously published datasets (dataset A and B) and two newly generated RCC datasets (dataset C and D) were analyzed using the newly generated library showing increased number of quantified peptides and proteins, depending on the size of the library and LC-MS/MS instrumentation. This PRIDE project also includes quantitative analysis results for all four datasets and raw files for dataset C and D. Dataset A is characterized in DOI: 10.1038/nm.3807. It consists of 18 samples from 9 RCC patients involving one cancer and non-cancerous sample per patient. Dataset B is characterized in DOI: 10.3390/biomedicines9091145. It consists of 16 tumor samples and 16 adjacent normal tissues from 16 mRCC patients treated at Masaryk Memorial Cancer Institute (MMCI) in Brno, Czech Republic. Dataset C involves only tumor tissues from dataset B. Half of them responded to sunitinib treatment in the first line three months after treatment initiation and half did not. Dataset D involves 16 RCC patients treated at University Hospital Pilsen (UHP), Czech Republic. All were localized at the time of initial diagnosis, half of the tumors developed distant metastasis in five years after the diagnosis.

2022-01-03 | PXD028411 | Pride

Lost and found IV.: Merulicium fusisporum

Project description:Ecology and distribution of Merulicium fusisporum in the Czech Republic

| PRJEB63641 | ENA

Human NVU - Astrocytes Methamphetamine

Project description:We used cortical human fetal astrocytes, density 8-15000 cells/cm2 (ScienCell, San Diego, CA, USA seeded separately in Astrocyte medium (ScienCell, San Diego, CA, USA) P0. Methamphetamine (Sigma-Aldrich, St Louis, MO, USA) was prepared at a stock concentration of 10mM in distilled water. Methamphetamine dilutions 50 micromolar were made in Endo and Neuro/Astro/Peri media respectively and applied to the cells for 26 hrs. Further info in "Proteomic and metabolomic characterization of human neurovascular unit cells in response to methamphetamine" Herland et al Adv Biosystems 2020 [doi:10.25345/C55F3P] [dataset license: CC0 1.0 Universal (CC0 1.0)]

2020-07-21 | MSV000085795 | MassIVE

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data