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Paper · 32748522

Single-cell proteomic analysis.

Pham T and 3 others. WIREs Mech Dis, 2021. Cited by 19 papers, by iCite.

11 sourcespapers-2026-11-12-0.1.0

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ConductScience Library. Single-cell proteomic analysis. Papers, record 32748522. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/32748522

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Paper

PubMed's record of the paper, with iCite's citation figures. No abstract is shown.

Title
Single-cell proteomic analysis.
PubMed
Journal
WIREs Mech Dis
PubMed
Year
2021
PubMed
Publication types
Journal Article, Research Support, N.I.H., Extramural, Review
PubMed
Citations, by iCite
19
iCite
Relative citation ratio, by iCite
0.99
iCite
Revised in PubMed
2021-11-10
PubMed

Authors4

The authors in the order PubMed's record lists them, with the ORCID iDs it states.

OrderAuthorForenameKindORCID iD
1Pham TThai
2Tyagi AAnkush
3Wang YSYu-Sheng
4Guo JJiahttps://orcid.org/0000-0001-8036-5349

Source PubMed

Topics6

NLM's MeSH indexing of the paper, its major topics first.

MeSH termMajor
NeoplasmsMajor topic
ProteomicsMajor topic
Humans
Mass Spectrometry
Proteins
Single-Cell Analysis

Source PubMed

Grants2

Each grant PubMed's record writes, matched to the NIH project NIH's grant and paper links name for this paper, and each of those links the record does not write.

Grant, as the record writes itAgencyCountryNIH projectStated bySource
R01 GM127633NIGMS NIH HHSUnited StatesR01GM127633PubMed and NIHNIH RePORTER
R21 AI132840NIAID NIH HHSUnited StatesR21AI132840PubMed and NIHNIH RePORTER

Trials0

The trials whose ClinicalTrials.gov record lists the paper, and the trial numbers the paper's PubMed record names.

None in this release.

Comments and corrections0

PubMed's comments and corrections, NLM's own indexing: retractions first, then expressions of concern, errata and updates, and comments last.

None in this release.

References77

The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.

OrderPMIDTitleJournalYearIn PapersSource
122,189,001Single-cell protein analysis.Curr Opin Biotechnol2012https://conductscience.org/library/papers/22189001PubMed
230,250,804Highly Multiplexed Single-Cell Protein Profiling with Large-Scale Convertible DNA-Antibody Barcoded Arrays.Adv Sci (Weinh)2018https://conductscience.org/library/papers/30250804PubMed
318,497,826Transcriptome-wide noise controls lineage choice in mammalian progenitor cells.Nature2008https://conductscience.org/library/papers/18497826PubMed
427,793,998Mapping the Fetomaternal Peripheral Immune System at Term Pregnancy.J Immunol2016https://conductscience.org/library/papers/27793998PubMed
59,411,767Laser capture microdissection: molecular analysis of tissue.Science1997https://conductscience.org/library/papers/9411767PubMed
625,342,659Systems biology. Conditional density-based analysis of T cell signaling in single-cell data.Science2014https://conductscience.org/library/papers/25342659PubMed
717,013,374Analyzing proteome topology and function by automated multidimensional fluorescence microscopy.Nat Biotechnol2006https://conductscience.org/library/papers/17013374PubMed
822,893,271Multiplexed in situ immunofluorescence using dynamic DNA complexes.Angew Chem Int Ed Engl2012https://conductscience.org/library/papers/22893271PubMed
922,203,961Single-cell proteomic chip for profiling intracellular signaling pathways in single tumor cells.Proc Natl Acad Sci U S A2012https://conductscience.org/library/papers/22203961PubMed
1020,715,281Chemistries for patterning robust DNA microbarcodes enable multiplex assays of cytoplasm proteins from single cancer cells.Chemphyschem2010https://conductscience.org/library/papers/20715281PubMed

1 to 10 of 77

See all 77 references

Cited by13

The papers in our copy of PubMed whose reference list names this one, newest first. iCite, which reads more sources, counts 19 citations.

PMIDTitleJournalYearIn PapersSource
42,747,540Emerging technologies in the spatial proteomics landscape.Anal Bioanal Chem2026https://conductscience.org/library/papers/42747540PubMed
41,591,451High-throughput yeast engineering in biofoundries: towards autonomous and scalable synthetic biology.FEMS Yeast Res2026https://conductscience.org/library/papers/41591451PubMed
39,744,823Single-cell spatial proteomics.Histol Histopathol2025https://conductscience.org/library/papers/39744823PubMed
39,401,694Applications of single-cell analysis in immunotherapy for lung cancer: Current progress, new challenges and expectations.J Adv Res2025https://conductscience.org/library/papers/39401694PubMed
37,405,913Global and tissue-specific aging effects on murine proteomes.Cell Rep2023https://conductscience.org/library/papers/37405913PubMed
37,031,277Uncovering biology by single-cell proteomics.Commun Biol2023https://conductscience.org/library/papers/37031277PubMed
36,577,074Robotic data acquisition with deep learning enables cell image-based prediction of transcriptomic phenotypes.Proc Natl Acad Sci U S A2023https://conductscience.org/library/papers/36577074PubMed
36,523,505Extracellular matrix: Brick and mortar in the skeletal muscle stem cell niche.Front Cell Dev Biol2022https://conductscience.org/library/papers/36523505PubMed
35,996,537Multiplexed Single-Cell in Situ Protein Profiling.ACS Meas Sci Au2022https://conductscience.org/library/papers/35996537PubMed
34,859,055Multiplexed Single-Cell in situ RNA Profiling.Front Mol Biosci2021https://conductscience.org/library/papers/34859055PubMed

1 to 10 of 13

See all 13 cited by

Genes0

The genes the Gene search release ties to the paper: Swiss-Prot's references first, then PubTator's text mining.

None in this release.

Drugs0

The drugs whose trials, in the Pipelines release, list the paper.

None in this release.

Data0

The data bank entries PubMed's record names. Trial numbers are under Trials.

None in this release.

Data dates

The date of each source this release read.

PubMed
2026-11-06
PubMed
iCite
2026-11-05
iCite
PMC's ID file
2026-11-05
PMC's ID file
NIH RePORTER's grant and paper links
2026-11-01
NIH RePORTER's grant and paper links
Trials
2026-11-12
Gene search
2026-11-11
Pipelines
2026-09-18

Sources 11

  • ChEMBL, through Open TargetsCC BY-SA 3.0
  • ClinicalTrials.govNo license stated
  • HGNCCC0
  • iCiteCC BY 4.0
  • NCBI GenePublic domain (US government)
  • NIH RePORTER's grant and paper linksPublic domain
  • Open TargetsCC0 1.0
  • PMC's ID filePublic domain (US government)
  • PubMedNLM's terms
  • PubTator 3Public domain
  • UniProtCC BY 4.0
Each source's terms
  • ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
  • ClinicalTrials.govnone stated
  • HGNCCC0: https://www.genenames.org/about/license/
  • iCiteCC BY 4.0
  • NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
  • NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
  • Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
  • PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
  • PubMedNLM's terms
  • PubTator 3Public domain
  • UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license

ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.

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