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Combined mRNA and protein single cell analysis in a dynamic cellular system using SPARC

https://doi.org/10.1101/749473
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.cell.2008.09.050openalex-snapshot
Nature, Nurture, or Chance: Stochastic Gene Expression and Its Consequences
inferredcites →https://doi.org/10.1016/j.cell.2015.10.039openalex-snapshot
Design and Analysis of Single-Cell Sequencing Experiments
inferredcites →https://doi.org/10.1016/j.cell.2016.03.014openalex-snapshot
On the Dependency of Cellular Protein Levels on mRNA Abundance
inferredcites →https://doi.org/10.1016/j.celrep.2015.11.036openalex-snapshot
Nuclear Retention of mRNA in Mammalian Tissues
inferredcites →https://doi.org/10.1016/j.celrep.2015.12.021openalex-snapshot
Simultaneous Multiplexed Measurement of RNA and Proteins in Single Cells
inferredcites →https://doi.org/10.1016/j.cels.2017.12.001openalex-snapshot
Simultaneous Multiplexed Imaging of mRNA and Proteins with Subcellular Resolution in Breast Cancer Tissue Samples by Mass Cytometry
inferredcites →https://doi.org/10.1016/j.cels.2018.04.004openalex-snapshot
Simultaneous Multiplexed Imaging of mRNA and Proteins with Subcellular Resolution in Breast Cancer Tissue Samples by Mass Cytometry
inferredcites →https://doi.org/10.1016/j.cels.2018.09.001openalex-snapshot
Multivariate Control of Transcript to Protein Variability in Single Mammalian Cells
inferredcites →https://doi.org/10.1016/j.cels.2020.02.003openalex-snapshot
Inferring Causal Gene Regulatory Networks from Coupled Single-Cell Expression Dynamics Using Scribe
inferredcites →https://doi.org/10.1016/j.molcel.2015.03.005openalex-snapshot
Single Mammalian Cells Compensate for Differences in Cellular Volume and DNA Copy Number through Independent Global Transcriptional Mechanisms
inferredcites →https://doi.org/10.1016/j.molcel.2017.01.023openalex-snapshot
Comparative Analysis of Single-Cell RNA Sequencing Methods
inferredcites →https://doi.org/10.1038/msb.2011.48openalex-snapshot
A dynamic model of proteome changes reveals new roles for transcript alteration in yeast
inferredcites →https://doi.org/10.1038/nature10098openalex-snapshot
Global quantification of mammalian gene expression control
inferredcites →https://doi.org/10.1038/nature13990openalex-snapshot
Dissecting neural differentiation regulatory networks through epigenetic footprinting
inferredcites →https://doi.org/10.1038/nbt.3269openalex-snapshot
Analysis of intronic and exonic reads in RNA-seq data characterizes transcriptional and post-transcriptional regulation
inferredcites →https://doi.org/10.1038/nbt.3973openalex-snapshot
Multiplexed quantification of proteins and transcripts in single cells
inferredcites →https://doi.org/10.1038/nbt.4096openalex-snapshot
Integrating single-cell transcriptomic data across different conditions, technologies, and species
inferredcites →https://doi.org/10.1038/ng869openalex-snapshot
Regulation of noise in the expression of a single gene
inferredcites →https://doi.org/10.1038/nmeth.1699openalex-snapshot
Proteomic and phosphoproteomic comparison of human ES and iPS cells
inferredcites →https://doi.org/10.1038/nmeth.2639openalex-snapshot
Smart-seq2 for sensitive full-length transcriptome profiling in single cells
inferredcites →https://doi.org/10.1038/nmeth.3742openalex-snapshot
Highly multiplexed simultaneous detection of RNAs and proteins in single cells
inferredcites →https://doi.org/10.1038/nmeth.4380openalex-snapshot
Simultaneous epitope and transcriptome measurement in single cells
inferredcites →https://doi.org/10.1038/nprot.2013.006openalex-snapshot
In situ detection of individual mRNA molecules and protein complexes or post-translational modifications using padlock probes combined with the in situ proximity ligation assay
inferredcites →https://doi.org/10.1038/nrg3185openalex-snapshot
Insights into the regulation of protein abundance from proteomic and transcriptomic analyses
inferredcites →https://doi.org/10.1038/s41576-018-0013-2openalex-snapshot
Controlling nuclear RNA levels
inferredcites →https://doi.org/10.1038/s41586-018-0414-6openalex-snapshot
RNA velocity of single cells
inferredcites →https://doi.org/10.1038/s41586-018-0836-1openalex-snapshot
Genomic encoding of transcriptional burst kinetics
inferredcites →https://doi.org/10.1038/s41598-018-37977-7openalex-snapshot
Combined quantification of intracellular (phospho-)proteins and transcriptomics from fixed single cells
inferredcites →https://doi.org/10.1093/nar/gkw377openalex-snapshot
Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
inferredcites →https://doi.org/10.1093/nar/gkw849openalex-snapshot
A novel method for crosstalk analysis of biological networks: improving accuracy of pathway annotation
inferredcites →https://doi.org/10.1101/079509openalex-snapshot
SCORPIUS improves trajectory inference and identifies novel modules in dendritic cell development
inferredcites →https://doi.org/10.1126/science.1259038openalex-snapshot
Dynamic profiling of the protein life cycle in response to pathogens
inferredcites →https://doi.org/10.1186/s13059-019-1676-5openalex-snapshot
Comparative analysis of sequencing technologies for single-cell transcriptomics
inferredcites →https://doi.org/10.1371/journal.pbio.0040309openalex-snapshot
Stochastic mRNA Synthesis in Mammalian Cells
inferredcites →https://doi.org/10.1371/journal.pone.0025583openalex-snapshot
ProteinSeq: High-Performance Proteomic Analyses by Proximity Ligation and Next Generation Sequencing
inferredcites →https://doi.org/10.1371/journal.pone.0095192openalex-snapshot
Homogenous 96-Plex PEA Immunoassay Exhibiting High Sensitivity, Specificity, and Excellent Scalability
inferredcites →https://doi.org/10.15252/embr.201846255openalex-snapshot
ChIP‐Atlas: a data‐mining suite powered by full integration of public ChIP‐seq data
inferredcites →https://doi.org/10.15252/msb.20156720openalex-snapshot
The interdependence of transcript and protein abundance: new data–new complexities

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.copbio.2019.12.005openalex-snapshot
The emergence and promise of single-cell temporal-omics approaches
inferred← citeshttps://doi.org/10.1101/665307openalex-snapshot
Single-cell proteomic and transcriptomic analysis of macrophage heterogeneity
inferred← citeshttps://doi.org/10.1109/tcbb.2021.3108695openalex-snapshot
Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation
inferred← citeshttps://doi.org/10.1186/s13059-021-02267-5openalex-snapshot
Single-cell proteomic and transcriptomic analysis of macrophage heterogeneity using SCoPE2
inferred← citeshttps://doi.org/10.7554/elife.69324openalex-snapshot
Pathway dynamics can delineate the sources of transcriptional noise in gene expression
inferred← citeshttps://doi.org/10.7554/elife.69324.sa2openalex-snapshot
Author response: Pathway dynamics can delineate the sources of transcriptional noise in gene expression
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