Evidence map›Paper›PMID 37563418›Full record

ArticleCommunications biology2023

Dynamic thresholding and tissue dissociation optimization for CITE-seq identifies differential surface protein abundance in metastatic melanoma.

Ulrike Lischetti, Aizhan Tastanova, Franziska Singer, Linda Grob, Matteo Carrara, Phil F Cheng, Julia M Martínez Gómez, Federica Sella, Veronika Haunerdinger, Christian Beisel and 1 more

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 14 citations in OpenAlex.

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  9. Stromal Cell Isolation from Hematopoietic Organs.Journal of visualized experiments : JoVE · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Ulrike Lischetti *Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058, Basel, Switzerland.ORCID http://orcid.org/0000-0002-9956-3043
Aizhan Tastanova *Department of Dermatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland. Aizhan.Tastanova@usz.ch.ORCID http://orcid.org/0000-0003-1120-5610
Franziska SingerETH Zurich, NEXUS Personalized Health Technologies, Wagistrasse 18, 8952, Schlieren, Switzerland.ORCID http://orcid.org/0000-0002-6017-1595
Linda GrobETH Zurich, NEXUS Personalized Health Technologies, Wagistrasse 18, 8952, Schlieren, Switzerland.ORCID http://orcid.org/0000-0003-3817-7613
Matteo CarraraETH Zurich, NEXUS Personalized Health Technologies, Wagistrasse 18, 8952, Schlieren, Switzerland.
Phil F ChengDepartment of Dermatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Julia M Martínez GómezDepartment of Dermatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Federica SellaDepartment of Dermatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-0805-0905
Veronika HaunerdingerDepartment of Dermatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Christian BeiselDepartment of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058, Basel, Switzerland.ORCID http://orcid.org/0000-0001-5360-2193
Mitchell P LevesqueDepartment of Dermatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland. Mitchell.Levesque@usz.ch.ORCID http://orcid.org/0000-0001-5902-9420
University of Zurich · CHSIB Swiss Institute of Bioinformatics · CHETH Zurich · CHUniversity of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multi-omics profiling by CITE-seq bridges the RNA-protein gap in single-cell analysis but has been largely applied to liquid biopsies. Applying CITE-seq to clinically relevant solid biopsies to characterize healthy tissue and the tumor microenvironment is an essential next step in single-cell translational studies. In this study, gating of cell populations based on their transcriptome signatures for use in cell type-specific ridge plots allowed identification of positive antibody signals and setting of manual thresholds. Next, we compare five skin dissociation protocols by taking into account dissociation efficiency, captured cell type heterogeneity and recovered surface proteome. To assess the effect of enzymatic digestion on transcriptome and epitope expression in immune cell populations, we analyze peripheral blood mononuclear cells (PBMCs) with and without dissociation. To further assess the RNA-protein gap, RNA-protein we perform codetection and correlation analyses on thresholded protein values. Finally, in a proof-of-concept study, using protein abundance analysis on selected surface markers in a cohort of healthy skin, primary, and metastatic melanoma we identify CD56 surface marker expression on metastatic melanoma cells, which was further confirmed by multiplex immunohistochemistry. This work provides practical guidelines for processing and analysis of clinically relevant solid tissue biopsies for biomarker discovery.

Indexed as

MelanomaMembrane ProteinsHumansLeukocytes, MononuclearRNATranscriptomeTumor MicroenvironmentMembrane ProteinsRNA

Identifiers

PMID37563418
PMCPMC10415364
OpenAlexW4385720269

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.