Abstract
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LInfDB experimental design
The Leishmania infectome screen quantifies Leishmania spp. and M. musculus proteomes at seven post-infection timepoints.
Three Leishmania spp. were used to infect M. musculus BMDMs in quadruplets. Whole cell lysate proteome extracts were collected at
seven different hour post-infection timepoints and quantified with mass spectrometry. The bar plot represents the total number of
M. musculus (grey) or Leishmania spp. (green, pink, and blue for L. infantum, L. major,
and L. mexicana, respectively) quantified proteins at each experiment.
Nicolas Hagedorn 1,+ , Albert Fradera-Sola 2,+ , Melina Mitnacht 1 , Tobias Gold 3 , Ulrike Schleicher 3 , Falk Butter 2 Christian J. Janzen 1
+ Indicates equal contribution, # Indicates correspondance, 1 Department of Cell & Developmental Biology, Biocenter, University of Würzburg, Würzburg, 97074, Germany 2 Institute of Molecular Virology and Cell Biology, Freidrich-Loeffler-Institute, Greifswald - Insel Riems, 17493, Germany 3 Microbiology Institute-Clinical Microbiology, Immunology and Hygiene, University Hospital Erlangen and Friedrich-Alexander-University, Erlangen, 91054, GermanyApp created by Albert Fradera-Sola in December 2021
Comments and bug reports to the following e-mail: A.FraderaSola@imb-mainz.de
Last update: June 2024Data selection
Here you can select which data to work with. First (1) you can filter out your data per species and timepoint. Then (2), a table showing all quantified proteins per species and timepoint is generated. You can search for proteins in the table using both the protein ID and the gene name. Once you find an interesting ID, you can click on the table to select it and highlight it at the proteome analysis (lower tab). Finally (3), you have an overview of which ID are you currently working with.
(1): Settings
(2): Quantified proteins
(3): Selected proteins:
PCA plot
HeatMap plot: Sample's Spearman Correlation
Boxplot: Proteome distribution along the time course
Dotplot: Selected ID statiscal significance
Volcano plot: Individual IDs fold change and p-value
Data selection
Here you can select which data to work with. First (1) you can filter out your data per species and timepoint. Then (2), a table showing all quantified proteins per species and timepoint is generated. You can search for proteins in the table using both the protein ID and the gene name. Once you find an interesting ID, you can click on the table to select it and highlight it at the proteome analysis (lower tab). Finally (3), you have an overview of which ID are you currently working with.
(1): Settings
(2): Quantified proteins
(3): Selected proteins:
PCA plot
HeatMap plot: Sample's Spearman Correlation
Boxplot: Proteome distribution along the time course
Dotplot: Selected ID statiscal significance
Volcano plot: Individual IDs fold change and p-value
Data selection
Here you can select which data to work with. First (1) you can filter out your data per species and timepoint. Then (2), a table showing all quantified proteins per species and timepoint is generated. You can search for proteins in the table using both the protein ID and the gene name. Once you find an interesting ID, you can click on the table to select it and highlight it at the proteome analysis (lower tab). Finally (3), you have an overview of which ID are you currently working with.
(1): Settings
(2): Quantified proteins
(3): Selected proteins:
PCA plot
HeatMap plot: Sample's Spearman Correlation
Boxplot: Proteome distribution along the time course
Dotplot: Selected ID statiscal significance
Volcano plot: Individual IDs fold change and p-value
Data selection
Here you can select which data to work with. First (1) you can filter out your data per species and timepoint. Then (2), a table showing all quantified proteins per species and timepoint is generated. You can search for proteins in the table using both the protein ID and the gene name. Once you find an interesting ID, you can click on the table to select it and highlight it at the proteome analysis (lower tab). Finally (3), you have an overview of which ID are you currently working with.
(1): Settings
(2): Proteins included in SOM analysis
(3): Selected proteins:
Data selection
Here you can select which data to work with. The table (1) shows all Leishmania spp. quantified proteins. You can search for proteins in the table using the protein ID and find, this way, its assigned OrthoMCL ID. Once you find an interesting ID, you can click on the table to select it and check its expression profile and the one for all its orthologs. Additionally (2) you have an overview of which ID are you currently working with.