Evidence map›Paper›PMID 34492500›Full record

ArticleBiosensors & bioelectronics2021

Flow radiocytometry using droplet optofluidics.

Byunghang Ha, Tae Jin Kim, Ejung Moon, Amato J Giaccia, Guillem Pratx

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors & bioelectronics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. A Guide to Biodetection in Droplets.Analytical chemistry · 2024
    Review
  2. Review
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

5 authors.

Byunghang HaDepartment of Radiation Oncology, Stanford University, Stanford, CA, 94305-5847, USA; Department of Mechanical Engineering, Stanford University, Stanford, CA, 94305-3011, USA. Electronic address: deepsky@stanford.edu.
Tae Jin KimDepartment of Radiation Oncology, Stanford University, Stanford, CA, 94305-5847, USA.
Ejung MoonDepartment of Radiation Oncology, Stanford University, Stanford, CA, 94305-5847, USA.
Amato J GiacciaDepartment of Radiation Oncology, Stanford University, Stanford, CA, 94305-5847, USA.
Guillem PratxDepartment of Radiation Oncology, Stanford University, Stanford, CA, 94305-5847, USA. Electronic address: pratx@stanford.edu.

Funding

High-throughput radionuclide counting and sorting of single cellsR21CA193001 · NCI · STANFORD UNIVERSITY · PI PRATX, GUILLEM · 2015 to 2017
$698k
Cancer Research UK 28736NCI NIH HHS R21 CA193001
6 · The paper itself

Abstract

Flow-based cytometry methods are widely used to analyze heterogeneous cell populations. However, their use for small molecule studies remains limited due to bulky fluorescent labels that often interfere with biochemical activity in cells. In contrast, radiotracers require minimal modification of their target molecules and can track biochemical processes with negligible interference and high specificity. Here, we introduce flow radiocytometry (FRCM) that broadens the scope of current cytometry methods to include beta-emitting radiotracers as probes for single cell studies. FRCM uses droplet microfluidics and radiofluorogenesis to translate the radioactivity of single cells into a fluorescent signal that is then read out using a high-throughput optofluidic device. As a proof of concept, we quantitated [

Indexed as

Biosensing TechniquesBiological AssayFlow CytometryHumansMicrofluidicsPhysical PhenomenaDroplet microfluidicsFluorodeoxyglucoseOptofluidicsRadiochemistryRadiofluorogenesisSingle-cell analysis

Identifiers

PMID34492500
PMCPMC8530933

What OpenQuestion holds

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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.