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57 It’s about time: rapid on-site fixation of whole blood samples prior to high-dimensional flow cytometric analysis

2024· article· en· W4404064202 on OpenAlexaboutno aff
K. P. Magee, Natalia Sigal, Carlos Medina, Justin A. Jarrell, William D. Chronister, Rachel Borshchenko, Ramji Srinivasan, Li-Chun Cheng

Bibliographic record

VenueRegular and Young Investigator Award Abstracts · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSingle-cell and spatial transcriptomics
Canadian institutionsnot available
Fundersnot available
KeywordsBlood flowFixation (population genetics)Flow (mathematics)Computer scienceBiomedical engineeringMedicinePhysicsMechanicsCardiology

Abstract

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<h3>Background</h3> Currently, about 70-90% of flow cytometry is performed on fresh blood samples, posing a challenge for clinical trials: trial sites must be near a flow cytometry laboratory for fresh blood to be processed, usually within 24-48 hours of sample collection. This limited time window is prohibitive, especially for sites that require shipping of samples to a distant laboratory<sup>1</sup> resulting in the loss of &gt;10% of specimens. Here, we use a commercially available fixation method to fix whole blood samples after collection. We then profile the samples using a 20+-marker flow cytometry panel to investigate the effects of sample fixation and storage at -80°C on immune cell composition and activation status. Data was compared to control samples collected within the same blood draw, and processed freshly according to current convention. <h3>Methods</h3> Whole blood samples from healthy donors (n=3) were collected into sodium heparin vacutainers and split into two – one control and one test sample. Control samples underwent red blood cell lysis and were stained before fixation with 1.6% paraformaldehyde. For test samples, whole blood specimens were fixed in Stable-Lyse Stable-Store reagent following manufacturer’s protocol and stored in -80°C for up to one month. Test samples were thawed, washed, permeabilized, and stained with a 20+ marker cytometry panel. Data acquisition and unmixing were performed on the Cytek Aurora spectral cytometer. Gating was performed on CellEngine. The frequencies and median fluorescence intensities (MdFI) of markers in over 30 immune populations were compared between control (live cell staining) and test samples (fixed). <h3>Results</h3> Compared to control samples, preservation of whole blood samples in Stable-Lyse Stable-Store and storage at -80C resulted in comparable frequencies for the majority of immune cell populations. While MdFI varied, correlation analysis of gated immune populations resulted in a Pearson coefficient of 0.975 between test and control samples, highlighting preservation of immune cell composition in fixed test samples. Consistency was also observed for assessment of activation status, as illustrated by an average of &lt;10% change in the frequency of PD-1+ cells within T-cell subsets (CD4+ or CD8+ T-cells) when comparing test to control samples. <h3>Conclusions</h3> Preservation helps to reduce loss of specimens by increasing the shipping window and minimizes batch variability by allowing for central processing. We hereby report on the performance of our high-dimensional spectral flow cytometric assay to robustly detect 30+ immune cell populations in live and fixed samples. <h3>Reference</h3> Verschoor CP, Kohli V. Cryopreserved whole blood for the quantification of monocyte, T-cell and NK-cell subsets, and monocyte receptor expression by multi-color flow cytometry: a methodological study based on participants from the canadian longitudinal study on aging. <i>Cytometry A</i> 2018 May;<b>93</b>(5):548-555.

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)0.000
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 score0.092
Threshold uncertainty score0.908

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.011
GPT teacher head0.226
Teacher spread0.215 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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