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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Phospho-seq: Integrated, multi-modal profiling of intracellular protein dynamics in single cells

Authors: Blair, John D; Hartman, Austin; Zenk, Fides; Dalgarno, Carol; Treutlein, Barbara; Satija, Rahul; Wahle, Philipp; +1 Authors

Phospho-seq: Integrated, multi-modal profiling of intracellular protein dynamics in single cells

Abstract

Datasets to go along with the publication listed: full_object.rds: Brain Organoid Phospho-Seq dataset with ATAC, Protein and imputed RNA data rna_object.rds: Reference whole cell scRNA-Seq object on Brain organoids multiome_object.rds: Bridge dataset containing RNA and ATAC modalities for Brain organoids metacell_allnorm.rds: Metacell object for finding gene-peak-protein linkages in Brain organoid dataset fullobject_fragments.tsv.gz: fragment file to go with the full object fullobject_fragments.tsv.gz.tbi:index file for the full object fragment file multiome_fragments.tsv.gz: fragment file to go with the multiome object multiome_fragments.tsv.gz.tbi:index file for the multiome object fragment file K562_Stem.rds : object corresponding to the pilot experiment including K562 cells and iPS cells K562_stem_fragments.tsv.gz: fragment file to go with the K562_stem object K562_stem_fragments.tsv.gz.tbi: index file for the K562_stem object fragment file retina.rds : object corresponding to the retinal organoid phospho-seq experiment retina_fragments.tsv.gz: fragment file to go with the retina object retina_fragments.tsv.gz.tbi: index file for the retina object fragment file retina_multi.rds : object corresponding to the retinal organoid phospho-seq-multiome experiment retina_multi_fragments.tsv.gz: fragment file to go with the retina_multi object retina_multi_fragments.tsv.gz.tbi: index file for the retina_multi object fragment file To use the K562, multiome, retina and retina_multiome datasets provided, please use these lines of code to import the object into Signac/Seurat and change the fragment file path to the corresponding downloaded fragment file: obj <- readRDS("obj.rds") # remove fragment file information Fragments(obj) <- NULL # Update the path of the fragment file Fragments(obj) <- CreateFragmentObject(path = "download/obj_fragments.tsv.gz", cells = Cells(obj)) To use the K562 and multiome datasets provided, please use these lines of code to import the object into Signac/Seurat and change the fragment file path to the corresponding downloaded fragment file: obj <- readRDS("obj.rds") # remove fragment file information Fragments(obj) <- NULL # Update the path of the fragment file Fragments(obj) <- CreateFragmentObject(path = "download/obj_fragments.tsv.gz", cells = Cells(obj)) To use the "fullobject" dataset provided, please use these lines of code to import the object into Signac/Seurat and change the fragment file path to the corresponding downloaded fragment file: #load the stringr package library(stringr) #load the object obj <- readRDS("obj.rds") # remove fragment file information Fragments(obj) <- NULL #Remove unwanted residual information and rename cells obj@reductions$norm.adt.pca <- NULL obj@reductions$norm.pca <- NULL obj <- RenameCells(obj, new.names = str_remove(Cells(obj), "atac_")) # Update the path of the fragment file Fragments(obj) <- CreateFragmentObject(path = "download/obj_fragments.tsv.gz", cells = Cells(obj))

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average