Data files

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3421 Data files visible to you, out of a total of 5622

The abscissa of the plots shows the percentage of aerobiosis that is a physiological measure for oxygen availability (http://www.ncbi.nlm.nih.gov/pubmed/11844770).

  1. Grey Boxes: Enzymes & Reactions blue lines/symbols: flux in mmol per gramm dry cell weight an hour red lines/symbols: mRNA levels

  2. White Boxes: Intracellular and extracellular metabolites blue lines/symbols: concentration of the metabolites (extracellular: mM, intracellular: AU)

  3. Yellow Boxes: Aggregated Quantities as yield, ...

The excel presents the mapping from GO terms to individual cancer hallmarks retrieved from selected papers.

No description specified

derived from Ulhen's research published in 2017.

This file contains the IDs, adj. p-values and official gene names of the top 100 marker genes (where applicable) for each of the identified cluster.

Creator: Markus Wolfien

Submitter: Markus Wolfien

Proteomics data for N15 incorporation into protein in Ostreococcus grown in 12L:12D light:dark cycles.

Master file, aggregates metabolite concentrations inside and outside the cell, protein copy number and flux estimates for metabolites in the core model. Based on all internal metabolite concentrations, external metabolite concentrations from growth curve data, flux of glucose, lactate and acetate based on growth curve data and protein copy number data for enzyme concentrations. Combines absolute and relative measurements and metabolomics measurements from different experiment to get an as complete ...

Data file for PLaSMo accesssion ID PLM_1010, version 1

Data file for PLaSMo accesssion ID PLM_70, version 1

Data file for PLaSMo accesssion ID PLM_70, version 1

Data file for PLaSMo accesssion ID PLM_70, version 1

Data file for PLaSMo accesssion ID PLM_70, version 1

Data file for PLaSMo accesssion ID PLM_64, version 1

Data file for PLaSMo accesssion ID PLM_64, version 3

Data file for PLaSMo accesssion ID PLM_64, version 4

Data file for PLaSMo accesssion ID PLM_76, version 1

Data file for PLaSMo accesssion ID PLM_6, version 2

Creators: BioData SynthSys, Alexandra Pokhilko, Andrew Millar

Submitter: BioData SynthSys

. L. lactis (NZ9000), E. faecalis (V538) and S. pyogenes (M49) wild type strain and their ldh- mutants were grown in batch cultures at 37°C in anaerobic 96 wells plates in either TH-broth supplemented with 0.5% (w/v) yeast (THY) or a chemically defined medium for LAB (pH 7.4) (CDM-LAB (10)). Both media were buffered with either 100 mM MES buffer or 100 mM MOPS buffer for growth at pH 6.5 and 7.5 respectively.

Linked with model: DOI: 10.15490/fairdomhub.1.model.801.1

Creators: None

Submitter: James Wordsworth

Linked to model: DOI: 10.15490/fairdomhub.1.model.800.1

Creators: None

Submitter: James Wordsworth

Linked to model: DOI: 10.15490/fairdomhub.1.model.799.1

Creators: None

Submitter: James Wordsworth

Steady state concentrations of extracellular metabolites in yeast Saccharomyces cerevisiae anaerobic chemostat at D = 0.1 h-1 on minimal medium. All metabolite concentrations are in mmol/L(R) except CO2, which is in parts of the partial pressure.

Steady state concentrations of intracellular metabolites in yeast Saccharomyces cerevisiae anaerobic chemostat at D = 0.1 h-1 on minimal medium. All metabolite concentrations are in mmol/L(CV).

Steady state metabolic fluxes measured in glucose-limited chemostat of Saccharomyces cerevisiae at D = 0.1 h-1 growing on minimal medium. Fluxes are: glucose, ethanol, glycerol, acetate, succinate, pyruvate, lactate, citrate, malate, a-ketoglutarate, fumarate

No description specified

Creator: Silvia Petrezselyova

Submitter: The JERM Harvester

Heterologous Expression of LDHs from different lactic acid bacteria in Escherichia coli DH5α. Assessment of kinetic parameters of LDH to include in a catabolic model .

Heterologous Expression of LDH from L.actis (MG1363) in E. coli DH5α. Assessment of kinetic parameters of LDH to include in a catabolic model

Creator: Wayne Aubrey

Submitter: Wayne Aubrey

Crosslinl (URL) to Gitlab info site on COVID-19 (University Medical Center Göttingen, Department of Medical Informatics)

Meeting location map

Creator: Olga Krebs

Submitter: Olga Krebs

none

Creator: Silvia Petrezselyova

Submitter: The JERM Harvester

TRK1, TRK2

Creator: Silvia Petrezselyova

Submitter: The JERM Harvester

AFG3, AKR1, BRP1, COG6, ERG6, HRK1, LST7, NHX1, PEP5, PIG1, PTK2, RCK2, RCY1, REF2, RIC1, RTS1, SGF11, SAP185, SKY1, SNC2, SUR2,

Creator: Silvia Petrezselyova

Submitter: The JERM Harvester

The membrane fraction of Prorcentrum cordatum was prepared and proteins solubilized using SDS. Subsequently, proteins were separated by SDS-PAGE, subjected to tryptic in-gel digest and nanoLC ESI-iontrap MS/MS.

First MESI-STRAT Newsletter June 2019

No description specified

Untargeted and targeted metabolic analysis on T. b. brucei 427 grown under oxidative stress with methylene blue has been carried out. This work has been completed with 11 bio-reps and found significant metabolic changes as you can see in the IDEOM file attached. 'Comparison' tab in the data spread sheet shows heat maps and fold change analysis regarding different metabolite levels (T: T brucei, TMB: T. brucei exposed to methylene blue, numbers: time points, 0, 5, 60 & 120min). If you double ...

No description specified

Creator: Margrete Solheim

Submitter: Margrete Solheim

No description specified

Creator: Margrete Solheim

Submitter: Margrete Solheim

Contains: -Relative metabolite measurements at different time points from all experiments -Absolute metabolite measurements for amino-acid analysis of the proteome and the cytosol -Effect on adding CaCl2, KCl or NaCl to the medium on growth -Effect of spiking of growth medium with additional amino acids

SysMo2: Intra- and extracellular metabolome data of the chemostat experiments: nitrogen limitation, nitrogen limitation+ NaCl, nitrogen limitation + glucose

Creator: Hanna Meyer

Submitter: Hanna Meyer

Intracellular metabolome analysis of S. solfataricus P2 grown on caseinhydrolysate or D-glucose as sole carbon source. Samples were analyzed with GC-MS. CoA derivatives were analyzed with LC-MS.

Comparative GC-MS based metabolomics of S. solfataricus growing on either L-fucose or D-glucose. CoA derivatives were analysed via HPLC-MS

This Excel template is the general (master) template for any type of metabolomics data. It can be used as it is, or extended and modified to create a more specific templates for particular technologies and assay types.

A file which combine previous metabolomics samples ID to new sample ID file (https://fairdomhub.org/data_files/1330)

Overview of metabolomics results from liver of cod exposed to chlorpyrifos-methyl

Creator: Karina Dale

Submitter: Karina Dale

Column 1: Row numbers Column 2: Sample id (See below) Column 3: Water (Fish from salt water or fresh water) Column 4: Tissue (Liver or Gut) Column 5: Feed (MA- Marine oil, VO- Vegetable oil) Column 6: Day Column 7: Count file location

Column 2 explained: The freshwater fish have no tank numbers and saltwater fish do have tank numbers eg : 69-D0-MA-G-1 - > 69 well position (id given when sequncing), Day 0, Marine oil, Gut, Fish number 1 147-D16-VO-MA-L-6 -> 147 well position, Day 16, Vegetable ...

_p_SUSPHIRE/_I_T21_SXPsysbio/_S_P1_SxPv10vsSxP12/_A_RootsSxPv10vsv12-GCMS/

Creator: Marko Petek

Submitter: Marko Petek

Metall Stress

Creator: Susanne Gerber

Submitter: The JERM Harvester

Very simple unrealistic values for Metformin kinetics (Km). For use in a simple graphical model.

Creator: Hannah O'Keefe

Submitter: Hannah O'Keefe

The file describe the methodology of the used algorithm to calculate the sensitivities against knockout and over-expression perturbations. The sensitivity values were classified in macro values for every perturbation. The bitwise distances were calculated for each biomolecule in the same macro class

Creator: Ahmed Hemedan

Submitter: Ahmed Hemedan

Master table describing all the samples included in MOA Investigation; studies are descrubed using MIAPPE (Minimum Information About a Plant Phenotyping Experiment).

File describing the phenotypic observations taken on potato plants, namely spot necroses, vein necroses, chlorotic spots, yellowing and mechanicam damage.

Creators: None

Submitter: Ziva Ramsak

Archive containing some phenotyping images (.tar.gz).

Measurements of photosynthetic activity, namely net photosynthesis (Pn), stomatal conductance (Cond), actual photochemical efficiency (Fv’/Fm’), potential photochemical activity (Fv/Fm), chlorophyll content (SPAD) and electron transport rate (ETR).

Creators: None

Submitter: Ziva Ramsak

Statistical analysis of measurements of photosynthetic parameters.

Creators: None

Submitter: Ziva Ramsak

qPCR measured values of Potato virus Y (PVY).

Creators: None

Submitter: Ziva Ramsak

Table connecting MOA Investigation sample ID's and GEO sample identifiers.

Differential expression of genes between various comparison groups (Sheet: comparisons), with log2-fold changes and Benjamini-Hochberg FDR corrected p-values given.

QC filtered and RSN normalised values for all MOA samples with microarray measurements.

Code used for the analysis of microarray data.

Some additional files required for the R code (phenodata, feature data i.e. the GAL file and Agi4x44PreProcess downloaded package, as it is not maintained on BioConductor anymore).

Validation of microarray results by RT-qPCR. RT-qPCR measurements for eight genes: biologically relevant for photosynthesis chlorophyll a-b binding protein (CAB, CAB_NEW) and RuBisCO activase (RA); for defense response three classes of β-1,3-glucanases (Glu-I, Glu-II, Glu-III) and pathogenesis-related protein1b (PR-1b); and for sugar metabolism granule bound starch synthase I (GBSSI) and cell wall invertase (INV).

Creators: None

Submitter: Ziva Ramsak

RT-qPCR assays for microarray validation described using the MIQE standard.

Creators: None

Submitter: Ziva Ramsak

miRNA stem-loop RT-qPCR for sRNA-Seq data validation. sRNA expression results obtained by sRNA-seq were validated by stem-loop RT-qPCR. For validation experiments, the same RNA samples as used for sRNA-Seq were analysed.

Creators: None

Submitter: Ziva Ramsak

RT-qPCR assays for sRNA-Seq validation described using the MIQE standard.

Creators: None

Submitter: Ziva Ramsak

Table connecting MOA sample identifiers to GEO identifiers related to sRNAomics dataset.

Creators: None

Submitter: Ziva Ramsak

miRNAs and their counts identified in the MOA samples for sRNA-Seq.

Creators: None

Submitter: Ziva Ramsak

miRNAs and their RPM normalised counts identified in the MOA samples for sRNA-Seq.

Creators: None

Submitter: Ziva Ramsak

Differential expression of miRNAs between various comparison groups (Sheet: comparisons), with log2-fold changes and Benjamini-Hochberg FDR corrected p-values given.

Creators: None

Submitter: Ziva Ramsak

phasiRNAs and their counts identified in the MOA samples for sRNA-Seq.

Creators: None

Submitter: Ziva Ramsak

phasiRNAs and their RPM normalised counts identified in the MOA samples for sRNA-Seq.

Creators: None

Submitter: Ziva Ramsak

Differential expression of phasiRNAs between various comparison groups (Sheet: comparisons), with log2-fold changes and Benjamini-Hochberg FDR corrected p-values given.

Creators: None

Submitter: Ziva Ramsak

R code for differential expression analysis of sRNA-Seq.

vsiRNAs and their counts identified in the MOA samples for sRNA-Seq.

Creators: None

Submitter: Ziva Ramsak

vsiRNAs and their RPM normalised counts identified in the MOA samples for sRNA-Seq.

Creators: None

Submitter: Ziva Ramsak

Novel miRNAs and/or novel MIR loci identified in PVYNTN- and mock-inoculated samples of cv. Désirée and NahG-Désirée potato plants. List of novel/known miRNAs with novel MIR loci. For each miRNA, sequence, length, class (C – conserved or N – novel), miRNA family, the genome locations, strand, the predicted hairpin precursor (pre-miRNA) sequences and the location in genome (MIR loci), their lengths, minimal folding energy index (MFEI; calculated as described by Zhang et al. (2006) as well as gene ...

PHAS loci identified by genome and transcriptome-wide phasing analysis. List of genome locations for the all identified non-coding PHAS loci or transcript identifiers (IDs) for protein-coding PHAS loci together with the lengths of their producing phasiRNAs. For the protein-coding PHAS loci, transcript full description, protein domains (obtained from PFAM database; Finn et al. 2016), MapMan ontology annotation (from GoMapMan;(Ramšak et al. 2014)) and log2 ratio of gene expression between PVYNTN-infected ...

sRNA regulatory network connecting endogenous miRNAs, phasiRNAs and their targets.

sRNA regulatory network connecting miRNAs, phasiRNAs, PVY-derived siRNAs (vsiRNAs) and their targets.

Predicted targets of endogenous small RNAs (sRNAs) by in silico approach. For each predicted interaction, miRNAs/phasiRNA ID, the target transcript identifiers, representative gene identifier, short gene name, full descriptions, MapMan ontology annotations (GoMapMan; (Ramšak et al., 2014)) and predicted target regulation (cleavage or translational repression) are shown. Short names for potato genes were inferred from Arabidopsis thaliana orthologs where applicable, else the StNIB_v1 gene identifier ...

Table connecting MOA degradome pool identifiers to GEO identifiers.

Creators: None

Submitter: Ziva Ramsak

Experimentally validated targets of endogenous sRNAs by Degradome-Seq. For each identified interaction, miRNAs/phasiRNA ID, the target transcript identifiers, representative gene identifier, full descriptions, and MapMan ontology annotations (GoMapMan; (Ramšak et al., 2014)) are shown. Short names for potato genes were inferred from Arabidopsis thaliana orthologs where applicable, else the StNIB_v1 gene identifier was set (Ramšak et al., 2014). For each sRNA-target interaction, degradome category ...

Creators: None

Submitter: Ziva Ramsak

Targets of PVY-derived siRNAs identified by Degradome-Seq. For each predicted interaction, PVYNTN-derived siRNAs (vsiRNAs), the target transcript identifiers, representative gene identifier, full descriptions and MapMan ontology annotations (GoMapMan; (Ramšak et al., 2014)) are shown. Short names for potato genes were inferred from Arabidopsis thaliana orthologs where applicable, else the StNIB_v1 gene identifier was set (Ramšak et al., 2014). For each vsiRNA-target interaction, degradome category ...

Creators: None

Submitter: Ziva Ramsak

List of identified proteins and their counts; using MaxQuant software for selected MOA proteomics pool identifiers.

Creators: None

Submitter: Ziva Ramsak

Differentially expressed proteins between various comparison groups (Sheet: comparisons), with log2-fold changes and Benjamini-Hochberg FDR corrected p-values given for MaxQuant quantified proteins.

Creators: None

Submitter: Ziva Ramsak

List of identified peptides using MaxQuant software for selected MOA proteomics pool identifiers.

Creators: None

Submitter: Ziva Ramsak

List of identified proteins and their counts; using spectral counts (Proteome Discoverer) for selected MOA proteomics pool identifiers.

Creators: None

Submitter: Ziva Ramsak

Differentially expressed proteins between various comparison groups (Sheet: comparisons), with log2-fold changes and Benjamini-Hochberg FDR corrected p-values given for spectral count (Proteome Discoverer) quantified proteins.

Creators: None

Submitter: Ziva Ramsak

List of identified peptides using spectral counts (Proteome Discoverer) for selected MOA proteomics pool identifiers.

Creators: None

Submitter: Ziva Ramsak

Concentrations of seven different plant hormones (ABA, GA3, OPDA, JA, IAA and SA) as determined by gas chromatography coupled with mass spectrometry (GC-MS) for MOA samples.

Creators: None

Submitter: Ziva Ramsak

Significant changes for a set of hormones between treatment-genotype groups as determined by ANOVA followed by LSD post hoc analysis (FDR < 0.05) using the Agricolae R package.

Creators: None

Submitter: Ziva Ramsak

R code for the hormone analysis.

The metano scenario file for aerobic growth on 3-Hydroxybenzoate.

The metano scenario file for anaerobic growth on 3-Hydroxybenzoate.

The metano scenario file for aerobic growth on 4HPP.

The metano scenario file for anaerobic growth on 4HPP.

The metano scenario file for aerobic growth on acetate.

The metano scenario file for anaerobic growth on acetate.

The metano scenario file for aerobic growth on Benzoate.

The metano scenario file for anaerobic growth on benzoate.

The metano scenario file for aerobic growth on L-phenylalanine.

The metano scenario file for anaerobic growth on L-phenylalanine.

Comparative flux balance analysis file. All values are given in mmol/g/h. Fluxes were optimized to maximize BIOMASS.

Uptake and growth rates, and biomass yields are compared in vivo and in silico.

Contains all 10 parameter sets, loaded with proteomics measurements for three time points (6h,24h, 48h). Contains all parameter sets exported from COPASI, an overview of the parameter sets in the three conditions and how well they perform as well as scripts to load parameter sets as well as an R script to generate an overview of the model error in predicting for all 10 parameter sets.

The figure contains information necessary to understand the mathematical model of experiments in BSA115. In these experiments sigB response is artificially initiated by the addition of IPTG while sigB is downstream of a Pspac promoter. The figure shows a flow-chart diagram that combines three hypotheses to explain experiments. It contains the ODEs and the fit of the respective models to the data.

The modelling workflow used on the input data, which leads to the results, see associated publication.

Modules were identified by WGCNA. hub genes of each modules were identified based on intramodular degree.

No description specified

Creator: Pasquale Linciano

Submitter: Pasquale Linciano

  • MNT-021_Bl6J_J-20-0152_CYP2D6- 1/3000_Run 14_LLL(green), RML(red), RSL (black), ICL(yellow)_MAA_004 > Control
  • MNT-022_Bl6J_J-20-0154_CYP2D6- 1/3000_Run 14_LLL(green), RML(red), RSL (black), ICL(yellow)_MAA_004 > Control
  • MNT-023_Bl6J_J-20-0156_CYP2D6- 1/3000_Run 14_LLL(green), RML(red), RSL (black), ICL(yellow)_MAA_004 > Control
  • MNT-024_Bl6J_J-20-0158_CYP2D6- 1/3000_Run 14_LLL(green), RML(red), RSL (black), ICL(yellow)_MAA_004 > Control
  • MNT-025_Bl6J_J-20-0160_CYP2D6- 1/3000_Run ...
  • MNT-021_Bl6J_J-20-0152_CYP2D6- 1/3000_Run 14_LLL(green), RML(red), RSL (black), ICL(yellow)_MAA_004 > Control
  • MNT-022_Bl6J_J-20-0154_CYP2D6- 1/3000_Run 14_LLL(green), RML(red), RSL (black), ICL(yellow)_MAA_004 > Control
  • MNT-023_Bl6J_J-20-0156_CYP2D6- 1/3000_Run 14_LLL(green), RML(red), RSL (black), ICL(yellow)_MAA_004 > Control
  • MNT-024_Bl6J_J-20-0158_CYP2D6- 1/3000_Run 14_LLL(green), RML(red), RSL (black), ICL(yellow)_MAA_004 > Control
  • MNT-025_Bl6J_J-20-0160_CYP2D6- 1/3000_Run ...

This files contains the parameter values, life-times, half-lives and errors associated with modeling the decay of the transcriptome, based on 3 models described in Deneke et al. "Complex degradation processes lead to non-exponential decay patters and age-dependent decay rates of messenger RNA". PLoS One. 2013;8(2):e55442

mRNAs with decreased abundance in all replicates with an average fold change of at least 1.5

Creators: None

Submitter: Leif Steil

Growth yeast with 50mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS001_0

Creator: Dani Valverde

Submitter: The JERM Harvester

MS001_10

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS001_20

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS001_40

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS001_5

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS001_60

Creator: Dani Valverde

Submitter: The JERM Harvester

MS001_90

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS002_0

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS002_10

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS002_20

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS002_40

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS002_5

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS002_60

Creator: Dani Valverde

Submitter: The JERM Harvester

MS002_90

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS003_0

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS003_10

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS003_20

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS003_40

Creator: Dani Valverde

Submitter: The JERM Harvester

MS003_5

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS003_60

Creator: Dani Valverde

Submitter: The JERM Harvester

MS003_90

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ andlong timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS004_0

Creator: Dani Valverde

Submitter: The JERM Harvester

MS004_10

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS004_20

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS004_40

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS004_5

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS004_60

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS004_90

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS005_0

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS005_10

Creator: Dani Valverde

Submitter: The JERM Harvester

MS005_10

Creator: Dani Valverde

Submitter: The JERM Harvester

MS005_20

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS005_40

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS005_5

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS005_60

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS005_90

Creator: Dani Valverde

Submitter: The JERM Harvester

MS006_0

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS006_20

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS006_40

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS006_5

Creator: Dani Valverde

Submitter: The JERM Harvester

MS006_60

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS006_90

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and long timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS007_1

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS007_12

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS007_4

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS007_6

Creator: Dani Valverde

Submitter: The JERM Harvester

MS007_8

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS008_05

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS008_12

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS008_4

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS008_6

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS008_8

Creator: Dani Valverde

Submitter: The JERM Harvester

MS009_0

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS009_12

Creator: Dani Valverde

Submitter: The JERM Harvester

MS009_12

Creator: Dani Valverde

Submitter: The JERM Harvester

MS009_4

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS009_6

Creator: Dani Valverde

Submitter: The JERM Harvester

MS009_8

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 50mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS010_1

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS010_12

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS010_4

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS010_6

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS010_8

Creator: Dani Valverde

Submitter: The JERM Harvester

MS011_1

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS011_12

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS011_4

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS011_6

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS011_8

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS012_1

Creator: Dani Valverde

Submitter: The JERM Harvester

MS012_12

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS012_4

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

MS012_6

Creator: Dani Valverde

Submitter: The JERM Harvester

MS012_8

Creator: Dani Valverde

Submitter: The JERM Harvester

Growth yeast with 0mM K+ and short timing collection

Creator: Dani Valverde

Submitter: The JERM Harvester

Clustal Omega multiple sequence alignment result for selected alpha-tubulins in FASTA format with gaps. Species and corresponding Uniprot identifiers can be found in the FASTA file.

The following species (Uniprot ID, dinitroaniline-sensitive/resistant) were considered:

  • Trypanosoma cruzi (Q27352, sensitive)
  • Trypanosoma brucei brucei (Q4GYY5, sensitive)
  • Leishmania infantum (E9AGJ8, sensitive)
  • Leishmania donovani (I3W8N6, sensitive)
  • Leishmania major (Q4QGC5, sensitive)
  • Toxoplasma gondii ...

Clustal Omega multiple sequence alignment result for selected beta-tubulins in FASTA format with gaps. Species and corresponding Uniprot identifiers can be found in the FASTA file.

The following species (Uniprot ID, dinitroaniline-sensitive/resistant) were considered:

  • Trypanosoma cruzi (Q8STF3, sensitive)
  • Trypanosoma brucei brucei (Q4GYY6, sensitive)
  • Leishmania infantum (A4HZJ3, sensitive)
  • Leishmania donovani (I3W8N7, sensitive)
  • Leishmania major (Q4QBZ6, sensitive)
  • Toxoplasma gondii ...

Batch sample publishing

Batch sample publishing

Fatty acid methyl ester (FAME) analysis showing which fatty acids were in the samples, though not what specific lipids they were part of (triacylglycerides, phospholipids, etc.) https://en.wikipedia.org/wiki/Fatty_acid_methyl_ester

Values in Ark1!A2:AO21 are probably mass percent of total FAME, including C19:0 added for calibration. Sample identifiers are lab-local; GSF1 identifiers are in Ark5!A4:U22 but suffer from typos. Use caution and see below.

This workbook is a mess:

  • Results appear in ...
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