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####---- petrosius2023_mES ----#### | ||
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##' Petrosius et al, 2023 (Nat. Comm.): Mouse embryonic stem cell (mESC) in | ||
##' Petrosius et al, 2023 (Nat. Comm.): Mouse embryonic stem cell (mESC) in | ||
##' different culture conditions | ||
##' | ||
##' | ||
##' @description | ||
##' Profiling mouse embryonic stem cells across ground-state (m2i) and | ||
##' differentiation-permissive (m15) culture conditions. The data were | ||
##' acquired using orbitrap-based data-independent acquisition (DIA). | ||
##' The objective was to demonstrate the capability of their approach | ||
##' by profiling mouse embryonic stem cell culture conditions, showcasing | ||
##' heterogeneity in global proteomes, and highlighting differences in | ||
##' Profiling mouse embryonic stem cells across ground-state (m2i) and | ||
##' differentiation-permissive (m15) culture conditions. The data were | ||
##' acquired using orbitrap-based data-independent acquisition (DIA). | ||
##' The objective was to demonstrate the capability of their approach | ||
##' by profiling mouse embryonic stem cell culture conditions, showcasing | ||
##' heterogeneity in global proteomes, and highlighting differences in | ||
##' the expression of key metabolic enzymes in distinct cell subclusters. | ||
##' | ||
##' | ||
##' @format A [QFeatures] object with 605 assays, each assay being a | ||
##' [SingleCellExperiment] object: | ||
##' | ||
##' - Assay 1-603: PSM data acquired with an orbitrap-based data-independent | ||
##' acquisition (DIA) protocol, hence those assays contain single column | ||
##' - Assay 1-603: PSM data acquired with an orbitrap-based data-independent | ||
##' acquisition (DIA) protocol, hence those assays contain single column | ||
##' that contains the quantitative information. | ||
##' - `peptides`: peptide data containing quantitative data for 9884 | ||
##' peptides and 603 single-cells. | ||
##' peptides and 603 single-cells. | ||
##' - `proteins`: protein data containing quantitative data for 4270 | ||
##' proteins and 603 single-cells. | ||
##' proteins and 603 single-cells. | ||
##' | ||
##' Sample annotation is stored in `colData(petrosius2023_mES())`. | ||
##' | ||
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@@ -2625,67 +2625,66 @@ | |
##' The data were acquired using the following setup. More information | ||
##' can be found in the source article (see `References`). | ||
##' | ||
##' - **Sample isolation**: Cell sorting was done on a Sony MA900 cell sorter | ||
##' using a 130 μm sorting chip. Cells were sorted at single-cell resolution, | ||
##' into a 384-well Eppendorf LoBind PCR plate (Eppendorf AG) containing 1 μL | ||
##' - **Sample isolation**: Cell sorting was done on a Sony MA900 cell sorter | ||
##' using a 130 μm sorting chip. Cells were sorted at single-cell resolution, | ||
##' into a 384-well Eppendorf LoBind PCR plate (Eppendorf AG) containing 1 μL | ||
##' of lysis buffer. | ||
##' - **Sample preparation**: Single-cell protein lysates were digested with | ||
##' 2 ng of Trypsin (Sigma cat. Nr. T6567) supplied in 1 μL of digestion | ||
##' - **Sample preparation**: Single-cell protein lysates were digested with | ||
##' 2 ng of Trypsin (Sigma cat. Nr. T6567) supplied in 1 μL of digestion | ||
##' buffer (100mM TEAB pH 8.5, 1:5000 (v/v) benzonase (Sigma cat. Nr. E1014)). | ||
##' The digestion was carried out overnight at 37 °C, and subsequently | ||
##' acidified by the addition of 1 μL 1% (v/v) trifluoroacetic acid (TFA). | ||
##' The digestion was carried out overnight at 37 °C, and subsequently | ||
##' acidified by the addition of 1 μL 1% (v/v) trifluoroacetic acid (TFA). | ||
##' All liquid dispensing was done using an I-DOT One instrument (Dispendix). | ||
##' - **Liquid chromatography**: The Evosep one liquid chromatography system was | ||
##' - **Liquid chromatography**: The Evosep one liquid chromatography system was | ||
##' used for DIA isolation window survey and HRMS1-DIA experiments.The standard | ||
##' 31 min or 58min pre-defined Whisper gradients were used, where peptide | ||
##' elution is carried out with 100 nl/min flow rate. A 15 cm × 75 μm | ||
##' ID column (PepSep) with 1.9 μm C18 beads (Dr. Maisch, Germany) and a 10 | ||
##' μm ID silica electrospray emitter (PepSep) was used. Both LC systems were | ||
##' coupled online to an orbitrap Eclipse TribridMass Spectrometer | ||
##' (ThermoFisher Scientific) via an EasySpray ion source connected to a | ||
##' 31 min or 58min pre-defined Whisper gradients were used, where peptide | ||
##' elution is carried out with 100 nl/min flow rate. A 15 cm × 75 μm | ||
##' ID column (PepSep) with 1.9 μm C18 beads (Dr. Maisch, Germany) and a 10 | ||
##' μm ID silica electrospray emitter (PepSep) was used. Both LC systems were | ||
##' coupled online to an orbitrap Eclipse TribridMass Spectrometer | ||
##' (ThermoFisher Scientific) via an EasySpray ion source connected to a | ||
##' FAIMSPro device. | ||
##' - **Mass spectrometry**: The mass spectrometer was operated in positive | ||
##' - **Mass spectrometry**: The mass spectrometer was operated in positive | ||
##' mode with the FAIMSPro interface compensation voltage set to −45 V. | ||
##' MS1 scans were carried out at 120,000 resolution with an automatic gain | ||
##' control (AGC) of 300% and maximum injection time set to auto. For the DIA | ||
##' isolation window survey a scan range of 500–900 was used and 400–1000 | ||
##' rest of the experiments. Higher energy collisional dissociation (HCD) was | ||
##' used for precursor fragmentation with a normalized collision energy (NCE) | ||
##' of 33% and MS2 scan AGC target was set to 1000%. | ||
##' - **Raw data processing**: The mESC raw data files were processed with | ||
##' Spectronaut 17 and protein abundance tables exported and analyzed further | ||
##' with python. | ||
##' control (AGC) of 300% and maximum injection time set to auto. For the DIA | ||
##' isolation window survey a scan range of 500–900 was used and 400–1000 | ||
##' rest of the experiments. Higher energy collisional dissociation (HCD) was | ||
##' used for precursor fragmentation with a normalized collision energy (NCE) | ||
##' of 33% and MS2 scan AGC target was set to 1000%. | ||
##' - **Raw data processing**: The mESC raw data files were processed with | ||
##' Spectronaut 17 and protein abundance tables exported and analyzed further | ||
##' with python. | ||
##' | ||
##' @section Data collection: | ||
##' | ||
##' The data were provided by the Author and is accessible at the [Dataverse] | ||
##' (https://dataverse.uclouvain.be/dataset.xhtml?persistentId=doi:10.14428/DVN/EMAVLT) | ||
##' The folder ('20240205_111248_mESC_SNEcombine_m15-m2i/') contains the | ||
##' The folder ('20240205_111248_mESC_SNEcombine_m15-m2i/') contains the | ||
##' following files of interest: | ||
##' | ||
##' - `20240205_111251_PEPQuant (Normal).tsv`: the PSM level data | ||
##' - `20240205_111251_Peptide Quant (Normal).tsv`: the peptide level data | ||
##' - `20240205_111251_PGQuant (Normal).tsv`: the protein level data | ||
##' | ||
##' The metadata were downloaded from the [Zenodo | ||
##' repository] (https://zenodo.org/records/8146605). | ||
##' | ||
##' The metadata were downloaded from the [Zenodo repository](https://zenodo.org/records/8146605). | ||
##' | ||
##' - `sample_facs.csv`: the metadata | ||
##' | ||
##' We formatted the quantification table so that columns match with the | ||
##' | ||
##' We formatted the quantification table so that columns match with the | ||
##' metadata. Then, both tables are then combined in a single | ||
##' [QFeatures] object using the [scp::readSCP()] function. | ||
##' | ||
##' The peptide data were formated to a [SingleCellExperiment] object and the | ||
##' | ||
##' The peptide data were formated to a [SingleCellExperiment] object and the | ||
##' sample metadata were matched to the column names and stored in the `colData`. | ||
##' The object is then added to the [QFeatures] object and the rows of the PSM | ||
##' data are linked to the rows of the peptide data based on the peptide sequence | ||
##' The object is then added to the [QFeatures] object and the rows of the PSM | ||
##' data are linked to the rows of the peptide data based on the peptide sequence | ||
##' information through an `AssayLink` object. | ||
##' | ||
##' The protein data were formated to a [SingleCellExperiment] object and | ||
##' the sample metadata were matched to the column names and stored in the | ||
##' `colData`. The object is then added to the [QFeatures] object and the rows | ||
##' of the peptide data are linked to the rows of the protein data based on the | ||
##' | ||
##' The protein data were formated to a [SingleCellExperiment] object and | ||
##' the sample metadata were matched to the column names and stored in the | ||
##' `colData`. The object is then added to the [QFeatures] object and the rows | ||
##' of the peptide data are linked to the rows of the protein data based on the | ||
##' protein sequence information through an `AssayLink` object. | ||
##' | ||
##' @source | ||
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@@ -2694,12 +2693,12 @@ | |
##' The raw data and the quantification data can also be found in the | ||
##' MassIVE repository `MSV000092429`: | ||
##' ftp://[email protected]/. | ||
##' | ||
##' | ||
##' @references | ||
##' **Source article**: Petrosius, V., Aragon-Fernandez, P., Üresin, N. et al. | ||
##' "Exploration of cell state heterogeneity using single-cell proteomics | ||
##' through sensitivity-tailored data-independent acquisition." | ||
##' Nat Commun 14, 5910 (2023). | ||
##' **Source article**: Petrosius, V., Aragon-Fernandez, P., Üresin, N. et al. | ||
##' "Exploration of cell state heterogeneity using single-cell proteomics | ||
##' through sensitivity-tailored data-independent acquisition." | ||
##' Nat Commun 14, 5910 (2023). | ||
##' ([link to article](https://doi.org/10.1038/s41467-023-41602-1)). | ||
##' | ||
##' @examples | ||
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