On the public citation graph
Single-cell proteomic and transcriptomic analysis of macrophage heterogeneity
0 signed · 108 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/anie.201510411openalex-snapshot
Single‐Cell Mass Spectrometry for Discovery Proteomics: Quantifying Translational Cell Heterogeneity in the 16‐Cell Frog (Xenopus) Embryo
inferredcites →https://doi.org/10.1002/bies.201300066openalex-snapshot
What is the total number of protein molecules per cell volume? A call to rethink some published values
inferredcites →https://doi.org/10.1002/ijc.2910170504openalex-snapshot
Establishment and characterization of a human histiocytic lymphoma cell line (U‐937)
inferredcites →https://doi.org/10.1002/pmic.201900226openalex-snapshot
Deep Profiling of Cellular Heterogeneity by Emerging Single‐Cell Proteomic Technologies
inferredcites →https://doi.org/10.1002/wsbm.1243openalex-snapshot
Using variability in gene expression as a tool for studying gene regulation
inferredcites →https://doi.org/10.1016/j.cbpa.2020.04.018openalex-snapshot
Single-cell protein analysis by mass spectrometry
inferredcites →https://doi.org/10.1016/j.ijms.2017.10.002openalex-snapshot
Analysis of molecular isotopic structures at high precision and accuracy by Orbitrap mass spectrometry
inferredcites →https://doi.org/10.1016/j.jasms.2009.03.024openalex-snapshot
Dynamics of ions of intact proteins in the Orbitrap mass analyzer
inferredcites →https://doi.org/10.1016/s1044-579x(02)00099-8openalex-snapshot
The p53–Mdm2 module and the ubiquitin system
inferredcites →https://doi.org/10.1021/acs.analchem.7b04713openalex-snapshot
Accurate, Sensitive, and Precise Multiplexed Proteomics Using the Complement Reporter Ion Cluster
inferredcites →https://doi.org/10.1021/acs.analchem.9b00024openalex-snapshot
Boosting to Amplify Signal with Isobaric Labeling (BASIL) Strategy for Comprehensive Quantitative Phosphoproteomic Characterization of Small Populations of Cells
inferredcites →https://doi.org/10.1021/acs.analchem.9b00345openalex-snapshot
Microsampling Capillary Electrophoresis Mass Spectrometry Enables Single-Cell Proteomics in Complex Tissues: Developing Cell Clones in Live Xenopus laevis and Zebrafish Embryos
inferredcites →https://doi.org/10.1021/acs.analchem.9b03349openalex-snapshot
High-Throughput Single Cell Proteomics Enabled by Multiplex Isobaric Labeling in a Nanodroplet Sample Preparation Platform
inferredcites →https://doi.org/10.1021/acs.analchem.9b04631openalex-snapshot
Improved Single-Cell Proteome Coverage Using Narrow-Bore Packed NanoLC Columns and Ultrasensitive Mass Spectrometry
inferredcites →https://doi.org/10.1021/acs.jproteome.0c00675openalex-snapshot
Optimizing Accuracy and Depth of Protein Quantification in Experiments Using Isobaric Carriers
inferredcites →https://doi.org/10.1021/acs.jproteome.8b00257openalex-snapshot
Transformative Opportunities for Single-Cell Proteomics
inferredcites →https://doi.org/10.1021/acs.jproteome.8b00694openalex-snapshot
Single Amino Acid Variant Discovery in Small Numbers of Cells
inferredcites →https://doi.org/10.1021/acs.jproteome.9b00039openalex-snapshot
DO-MS: Data-Driven Optimization of Mass Spectrometry Methods
inferredcites →https://doi.org/10.1021/pr101065jopenalex-snapshot
Andromeda: A Peptide Search Engine Integrated into the MaxQuant Environment
inferredcites →https://doi.org/10.1038/nature06525openalex-snapshot
The biological impact of mass-spectrometry-based proteomics
inferredcites →https://doi.org/10.1038/nature19949openalex-snapshot
Mass-spectrometric exploration of proteome structure and function
inferredcites →https://doi.org/10.1038/nbt.1511openalex-snapshot
MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification
inferredcites →https://doi.org/10.1038/ni.3324openalex-snapshot
New insights into the multidimensional concept of macrophage ontogeny, activation and function
inferredcites →https://doi.org/10.1038/ni.3693openalex-snapshot
Social network architecture of human immune cells unveiled by quantitative proteomics
inferredcites →https://doi.org/10.1038/nmeth.2031openalex-snapshot
Protease bias in absolute protein quantitation
inferredcites →https://doi.org/10.1038/nmeth.2930openalex-snapshot
Validation of noise models for single-cell transcriptomics
inferredcites →https://doi.org/10.1038/nprot.2016.136openalex-snapshot
The MaxQuant computational platform for mass spectrometry-based shotgun proteomics
inferredcites →https://doi.org/10.1038/nrg3356openalex-snapshot
Next-generation proteomics: towards an integrative view of proteome dynamics
inferredcites →https://doi.org/10.1038/nrg3542openalex-snapshot
Single-cell sequencing-based technologies will revolutionize whole-organism science
inferredcites →https://doi.org/10.1038/s41575-019-0134-xopenalex-snapshot
Spatial heterogeneity in the mammalian liver
inferredcites →https://doi.org/10.1038/s41576-020-0258-4openalex-snapshot
mRNAs, proteins and the emerging principles of gene expression control
inferredcites →https://doi.org/10.1038/s41592-019-0466-zopenalex-snapshot
Joint analysis of heterogeneous single-cell RNA-seq dataset collections
inferredcites →https://doi.org/10.1038/s41592-019-0540-6openalex-snapshot
A dream of single-cell proteomics
inferredcites →https://doi.org/10.1042/ebc20180014openalex-snapshot
Single cell protein analysis for systems biology
inferredcites →https://doi.org/10.1073/pnas.0506580102openalex-snapshot
Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
inferredcites →https://doi.org/10.1073/pnas.0810803106openalex-snapshot
Correlation signature of the macroscopic states of the gene regulatory network in cancer
inferredcites →https://doi.org/10.1074/mcp.m114.046995openalex-snapshot
A Scalable Approach for Protein False Discovery Rate Estimation in Large Proteomic Data Sets
inferredcites →https://doi.org/10.1080/23737484.2019.1656117openalex-snapshot
A comparison of two estimation methods for common principal components
inferredcites →https://doi.org/10.1093/nar/gkp889openalex-snapshot
BioNumbers—the database of key numbers in molecular and cell biology
inferredcites →https://doi.org/10.1093/nar/gkx1013openalex-snapshot
TRRUST v2: an expanded reference database of human and mouse transcriptional regulatory interactions
inferredcites →https://doi.org/10.1101/399774openalex-snapshot
Automated sample preparation for high-throughput single-cell proteomics
inferredcites →https://doi.org/10.1101/665307openalex-snapshot
Single-cell proteomic and transcriptomic analysis of macrophage heterogeneity
inferredcites →https://doi.org/10.1101/745679openalex-snapshot
Quantitative Single-Cell Proteomics as a Tool to Characterize Cellular Hierarchies
inferredcites →https://doi.org/10.1101/749473openalex-snapshot
Combined mRNA and protein single cell analysis in a dynamic cellular system using SPARC
inferredcites →https://doi.org/10.1101/753582openalex-snapshot
A simple method to quantify protein abundances from one thousand cells
inferredcites →https://doi.org/10.1126/science.1216379openalex-snapshot
Using Gene Expression Noise to Understand Gene Regulation
inferredcites →https://doi.org/10.1126/science.aaz6695openalex-snapshot
Unpicking the proteome in single cells
inferredcites →https://doi.org/10.1146/annurev-biodatasci-080917-013516openalex-snapshot
Computational Methods for Understanding Mass Spectrometry–Based Shotgun Proteomics Data
inferredcites →https://doi.org/10.1158/0008-5472.can-07-3050openalex-snapshot
Indirect Macrophage Responses to Ionizing Radiation: Implications for Genotype-Dependent Bystander Signaling
inferredcites →https://doi.org/10.1186/1471-2105-10-48openalex-snapshot
GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists
inferredcites →https://doi.org/10.1186/s13059-018-1547-5openalex-snapshot
SCoPE-MS: mass spectrometry of single mammalian cells quantifies proteome heterogeneity during cell differentiation
inferredcites →https://doi.org/10.1186/s13059-021-02267-5openalex-snapshot
Single-cell proteomic and transcriptomic analysis of macrophage heterogeneity using SCoPE2
inferredcites →https://doi.org/10.12703/p6-13openalex-snapshot
The M1 and M2 paradigm of macrophage activation: time for reassessment
inferredcites →https://doi.org/10.1371/journal.pcbi.1005535openalex-snapshot
Post-transcriptional regulation across human tissues
inferredcites →https://doi.org/10.1371/journal.pcbi.1007082openalex-snapshot
DART-ID increases single-cell proteome coverage
inferredcites →https://doi.org/10.4049/jimmunol.177.10.7303openalex-snapshot
Transcriptional Profiling of the Human Monocyte-to-Macrophage Differentiation and Polarization: New Molecules and Patterns of Gene Expression
inferredcites →https://doi.org/10.5281/zenodo.4339953openalex-snapshot
SlavovLab/SCoPE2: zenodo release 20201218
inferredcites →https://doi.org/10.7490/f1000research.1118456.1openalex-snapshot
A standardized computational framework for the analysis of mass spectrometry-based single-cell proteomics data
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/anie.202100923openalex-snapshot
In Vivo Subcellular Mass Spectrometry Enables Proteo‐Metabolomic Single‐Cell Systems Biology in a Chordate Embryo Developing to a Normally Behaving Tadpole ( X. laevis )**
inferred← citeshttps://doi.org/10.1002/ansa.202000152openalex-snapshot
The rise of single‐cell proteomics
inferred← citeshttps://doi.org/10.1002/pmic.201900226openalex-snapshot
Deep Profiling of Cellular Heterogeneity by Emerging Single‐Cell Proteomic Technologies
inferred← citeshttps://doi.org/10.1002/pmic.201900227openalex-snapshot
Translating Cancer Molecular Variability into Personalized Information Using Bulk and Single Cell Approaches
inferred← citeshttps://doi.org/10.1007/978-1-0716-2525-5_5openalex-snapshot
Single-Cell Mass Spectrometry of Metabolites and Proteins for Systems and Functional Biology
inferred← citeshttps://doi.org/10.1007/s00018-020-03602-yopenalex-snapshot
The quest of cell surface markers for stem cell therapy
inferred← citeshttps://doi.org/10.1007/s12038-022-00254-xopenalex-snapshot
Cancer: More than a geneticist’s Pandora’s box
inferred← citeshttps://doi.org/10.1016/j.biocel.2021.105966openalex-snapshot
Proteomics: An advanced tool to unravel the role of alveolar macrophages in respiratory diseases
inferred← citeshttps://doi.org/10.1016/j.cels.2019.11.010openalex-snapshot
Maximum Entropy Framework for Predictive Inference of Cell Population Heterogeneity and Responses in Signaling Networks
inferred← citeshttps://doi.org/10.1016/j.drudis.2020.03.018openalex-snapshot
Improved mouse models and advanced genetic and genomic technologies for the study of neutrophils
inferred← citeshttps://doi.org/10.1016/j.it.2020.01.002openalex-snapshot
Taking Insect Immunity to the Single-Cell Level
inferred← citeshttps://doi.org/10.1016/j.molimm.2020.04.020openalex-snapshot
Towards the better understanding of myelopoiesis using single-cell technologies
inferred← citeshttps://doi.org/10.1016/j.molmet.2022.101635openalex-snapshot
Monitoring and modelling the dynamics of the cellular glycolysis pathway: A review and future perspectives
inferred← citeshttps://doi.org/10.1021/acs.analchem.0c04240openalex-snapshot
Fully Automated Sample Processing and Analysis Workflow for Low-Input Proteome Profiling
inferred← citeshttps://doi.org/10.1021/acs.analchem.1c00990openalex-snapshot
Ultrasensitive NanoLC-MS of Subnanogram Protein Samples Using Second Generation Micropillar Array LC Technology with Orbitrap Exploris 480 and FAIMS PRO
inferred← citeshttps://doi.org/10.1021/acs.analchem.9b04631openalex-snapshot
Improved Single-Cell Proteome Coverage Using Narrow-Bore Packed NanoLC Columns and Ultrasensitive Mass Spectrometry
inferred← citeshttps://doi.org/10.1021/acs.jproteome.0c00338openalex-snapshot
Addressing Cellular Heterogeneity in Cancer through Precision Proteomics
inferred← citeshttps://doi.org/10.1021/acs.jproteome.0c00675openalex-snapshot
Optimizing Accuracy and Depth of Protein Quantification in Experiments Using Isobaric Carriers
inferred← citeshttps://doi.org/10.1021/acs.jproteome.0c01010openalex-snapshot
mokapot: Fast and Flexible Semisupervised Learning for Peptide Detection
inferred← citeshttps://doi.org/10.1021/acs.jproteome.9b00780openalex-snapshot
Machine Learning Strategy That Leverages Large Data sets to Boost Statistical Power in Small-Scale Experiments
inferred← citeshttps://doi.org/10.1038/s41467-020-19045-9openalex-snapshot
A high-stringency blueprint of the human proteome
inferred← citeshttps://doi.org/10.1038/s41569-020-0359-yopenalex-snapshot
Single-cell RNA sequencing in cardiovascular development, disease and medicine
inferred← citeshttps://doi.org/10.1038/s41587-020-0605-1openalex-snapshot
Cell type prioritization in single-cell data
inferred← citeshttps://doi.org/10.1038/s41592-019-0540-6openalex-snapshot
A dream of single-cell proteomics
inferred← citeshttps://doi.org/10.1038/s41592-020-01002-5openalex-snapshot
Defining the carrier proteome limit for single-cell proteomics
inferred← citeshttps://doi.org/10.1038/s41596-021-00616-zopenalex-snapshot
Multiplexed single-cell proteomics using SCoPE2
inferred← citeshttps://doi.org/10.1038/s42003-021-02142-wopenalex-snapshot
A combined approach for single-cell mRNA and intracellular protein expression analysis
inferred← citeshttps://doi.org/10.1042/bcj20200029openalex-snapshot
Processing of the SARS-CoV pp1a/ab nsp7–10 region
inferred← citeshttps://doi.org/10.1074/mcp.r120.002234openalex-snapshot
Single-cell Proteomics: Progress and Prospects
inferred← citeshttps://doi.org/10.1080/14789450.2021.1913062openalex-snapshot
Proteomic characterization of the human lens and Cataractogenesis
inferred← citeshttps://doi.org/10.1093/bib/bbab024openalex-snapshot
Advances in bulk and single-cell multi-omics approaches for systems biology and precision medicine
inferred← citeshttps://doi.org/10.1098/rstb.2019.0410openalex-snapshot
Linking mitochondrial and chloroplast retrograde signalling in plants
inferred← citeshttps://doi.org/10.1101/2020.07.30.229534openalex-snapshot
singlecellVR : interactive visualization of single-cell data in virtual reality
inferred← citeshttps://doi.org/10.1101/2021.06.23.449560openalex-snapshot
Aliquoting of isobaric labeling reagents for low concentration and single cell proteomics samples
inferred← citeshttps://doi.org/10.1101/745679openalex-snapshot
Quantitative Single-Cell Proteomics as a Tool to Characterize Cellular Hierarchies
inferred← citeshttps://doi.org/10.1134/s0006297920020029openalex-snapshot
Single Cell Proteogenomics — Immediate Prospects
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/10.3389/fgene.2020.610798openalex-snapshot
State of the Field in Multi-Omics Research: From Computational Needs to Data Mining and Sharing
inferred← citeshttps://doi.org/10.3389/fgene.2021.764170openalex-snapshot
singlecellVR: Interactive Visualization of Single-Cell Data in Virtual Reality
inferred← citeshttps://doi.org/10.3389/fonc.2019.01512openalex-snapshot
Evaluating the Polarization of Tumor-Associated Macrophages Into M1 and M2 Phenotypes in Human Cancer Tissue: Technicalities and Challenges in Routine Clinical Practice
inferred← citeshttps://doi.org/10.3390/cells9061535openalex-snapshot
Macrophage Modification Strategies for Efficient Cell Therapy
inferred← citeshttps://doi.org/10.3390/fishes8010043openalex-snapshot
Localization of Acetylcholine, Alpha 7-NAChR and the Antimicrobial Peptide Piscidin 1 in the Macrophages of Fish Gut: Evidence for a Cholinergic System, Diverse Macrophage Populations and Polarization of Immune Responses
inferred← citeshttps://doi.org/10.3390/proteomes9030034openalex-snapshot
Evaluation of the Sensitivity of Proteomics Methods Using the Absolute Copy Number of Proteins in a Single Cell as a Metric
inferred← citeshttps://doi.org/10.37349/etat.2023.00124openalex-snapshot
Macrophages as potential targets in gene therapy for cancer treatment
inferred← citeshttps://doi.org/10.52420/2071-5943-2023-22-6-85-93openalex-snapshot
Liver macrophages as the key regulators of tissue homeostasis in organ
inferred← citeshttps://doi.org/10.5772/intechopen.95962openalex-snapshot
Trends in Sample Preparation for Proteome Analysis
showing the first 47 of 48 · page through all 48
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.