Evidence map›Paper›PMID 25180800›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2015

Stochastic particle barcoding for single-cell tracking and multiparametric analysis.

M Castellarnau, G L Szeto, H-W Su, T Tokatlian, J C Love, D J Irvine, J Voldman

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

7 authors.

M CastellarnauMassachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
G L Szeto
H-W Su
T Tokatlian
J C Love
D J Irvine
J Voldman

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Jacqueline A. Lees · 1985 to 2026
$93.9M
Modulating AhR in tumor and lymphoid microenvironments via local drug deliveryF32CA180586 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SZETO, GREGORY LEE · 2013 to 2014
$107k
Howard Hughes Medical InstituteNCI NIH HHS 1F32CA180586NCI NIH HHS F32 CA180586NCI NIH HHS P30 CA014051NCI NIH HHS P30-CA14051
6 · The paper itself

Abstract

This study presents stochastic particle barcoding (SPB), a method for tracking cell identity across bioanalytical platforms. In this approach, single cells or small collections of cells are co-encapsulated within an enzymatically-degradable hydrogel block along with a random collection of fluorescent beads, whose number, color, and position encode the identity of the cell, enabling samples to be transferred in bulk between single-cell assay platforms without losing the identity of individual cells. The application of SPB is demonstrated for transferring cells from a subnanoliter protein secretion/phenotyping array platform into a microtiter plate, with re-identification accuracies in the plate assay of 96±2%. Encapsulated cells are recovered by digesting the hydrogel, allowing subsequent genotyping and phenotyping of cell lysates. Finally, a model scaling is developed to illustrate how different parameters affect the accuracy of SPB and to motivate scaling of the method to thousands of unique blocks.

Indexed as

AnimalsCell Line, TumorCell SurvivalCell TrackingHumansImage Processing, Computer-AssistedMacromolecular SubstancesMiceModels, TheoreticalNucleic AcidsPolyethylene GlycolsStochastic ProcessesMacromolecular SubstancesNucleic Acidspoly(ethylene glycol)diacrylatePolyethylene Glycolsbarcodescellshydrogelslabelinglab-on-a-chip devices

Identifiers

PMID25180800
PMCPMC4303509

What OpenQuestion holds

Textmetadata
LicenceTDM
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.