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Record W4282983084 · doi:10.1158/1538-7445.am2022-1977

Abstract 1977: Extending the capabilities of a high-parameter immunophenotyping assay with cytoplasmic staining applications for mass cytometry

2022· article· en· W4282983084 on OpenAlexaff
Noah Saederup, Huihui Yao, Michael S. Cohen, Leslie W.‐M. Fung

Bibliographic record

VenueCancer Research · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSingle-cell and spatial transcriptomics
Canadian institutionsFluidigm (Canada)
Fundersnot available
KeywordsMass cytometryFlow cytometryViability assayMolecular biologyStainingBiologyPeripheral blood mononuclear cellCell cultureCytometryImmune systemCellChemistryImmunologyIn vitroBiochemistryPhenotype

Abstract

fetched live from OpenAlex

Abstract Mass cytometry, empowered by CyTOF® technology, utilizes monoisotopic metal-tagged antibodies and a high-sensitivity mass cytometer to allow high-dimensional single-cell analysis in complex biological samples. The 30-marker panel Maxpar® Direct™ Immune Profiling Assay™ (Cat. No. 201325) for suspension mass cytometry provides an unprecedented sample-to-answer solution for detecting and analyzing 30 surface markers in a single experiment. With 18 open mass channels for additional biological markers, the Maxpar Direct Assay facilitates panel expansion and enables flexibility for higher multiplexity and applications. Among the potential complementary applications with the Maxpar Direct Assay, intracellular cytokine staining (ICS) is of particular interest as it may be used to assess infiltrating immune cell phenotypes in the tumor microenvironment. However, for the purpose of assessing cell viability in this workflow, the effectiveness of the Cell-ID™ Intercalator-Rh (Cat. No. 201103) that is included in the Maxpar Direct Assay is in question, since cell permeabilization during ICS can potentially damage the DNA-intercalator bondIn this study, we investigated the compatibility of the Cell-ID Intercalator-Rh (103Rh) with intracellular staining. To do this, we stained either human peripheral blood mononuclear cell (PBMC) or whole blood samples (FLDM-400287) with the Maxpar Direct Assay followed by intracellular staining for the detection of expressed cytokines. The intercalator was evaluated for its ability to discriminate live and dead cells when the sample undergoes surface antibody staining. The monoisotopic Cell-ID Cisplatin-194Pt (Cat. No. 201194) was used as the control to provide benchmark measurement of cell viability of the samples. For both sample types, known percentages of heat-killed PBMC were spiked into the samples in order to evaluate the influence of dead cells. We demonstrate that 103Rh provides equivalent functionality as a cell viability indicator during intracellular staining for cytoplasmic proteins compared to Cell-ID Cisplatin-194Pt. This work was designed to support the use of the Maxpar Direct Immune Profiling Assay in combination with additional intracellular markers. Overall, these findings expand the applicability of Cell-ID Intercalator-Rh (103Rh) to processes that involve cytoplasmic staining. For Research Use Only. Not for use in diagnostic procedures. Citation Format: Noah Saederup, Huihui Yao, Michael Cohen, Leslie Fung. Extending the capabilities of a high-parameter immunophenotyping assay with cytoplasmic staining applications for mass cytometry [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1977.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.423

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.335
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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