ArticleBio-protocol2021
One-step White Blood Cell Extracellular Staining Method for Flow Cytometry.
Article in Bio-protocol, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
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Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
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- The Association of Low CD4 Expression on Monocytes and Low CD8+ T-Cell Count at Hospital Admission Predicts the Need for Mechanical Ventilation in Patients With COVID-19 Pneumonia: A Prospective Monocentric Cohort Study.Critical care explorations · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Flow cytometry is a powerful analytical technique that is increasingly used in scientific investigations and healthcare; however, it requires time-consuming, multi-step sample procedures, which limits its use to specialized laboratories. In this study, we propose a new universal one-step method in which white blood cell staining and red blood cell lysis are carried out in a single step, using a gentle lysis solution mixed with fluorescent antibody conjugates or probes in a dry or liquid format. The blood sample may be obtained from a routine venipuncture or directly from a fingerprick, allowing for near-patient analysis. This procedure enables the analysis of common white blood cell markers as well as markers related to infections or sepsis. This simpler and faster protocol may help to democratize the use of flow cytometry in the research and medical fields. Graphic abstract: One-step White Blood Cell Extracellular Staining Method for Flow Cytometry.
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Registered trials
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.