Evidence map›Paper›PMID 26963632›Full record

ArticleNature protocols2016

Microfluidic differential immunocapture biochip for specific leukocyte counting.

Umer Hassan, Nicholas N Watkins, Bobby Reddy, Gregory Damhorst, Rashid Bashir

Abstract read
In one paragraph

Article in Nature protocols, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
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

11 citing papers in PubMed, 50 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Umer HassanDepartment of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, William L. Everitt Laboratory, Urbana, Illinois, USA.
Nicholas N WatkinsDepartment of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, William L. Everitt Laboratory, Urbana, Illinois, USA.
Bobby ReddyMicro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Gregory DamhorstMicro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Rashid BashirDepartment of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, William L. Everitt Laboratory, Urbana, Illinois, USA.
University of Illinois Urbana-Champaign · USCarle Foundation Hospital · US

Funding

Rapid Fluorescence-Based Determination of Antibiotic SusceptibilityU54EB015408 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI PARRISH, JOHN A, SCHACHTER, STEVEN · 2012 to 2022
$49.2M
NIBIB NIH HHS U54 EB015408
6 · The paper itself

Abstract

Enumerating specific cell types from whole blood can be very useful for research and diagnostic purposes-e.g., for counting of CD4 and CD8 T cells in HIV/AIDS diagnostics. We have developed a biosensor based on a differential immunocapture technology to enumerate specific cells in 30 min using 10 μl of blood. This paper provides a comprehensive stepwise protocol to replicate our biosensor for CD4 and CD8 cell counts. The biochip can also be adapted to enumerate other specific cell types such as somatic cells or cells from tissue or liquid biopsies. Capture of other specific cells requires immobilization of their corresponding antibodies within the capture chamber. Therefore, this protocol is useful for research into areas surrounding immunocapture-based biosensor development. The biosensor production requires 24 h, a one-time cell capture optimization takes 6-9 h, and the final cell counting experiment in a laboratory environment requires 30 min to complete.

Indexed as

Biosensing TechniquesCell CountHumansImmunologic TechniquesMicrofluidicsTime Factors

Identifiers

PMID26963632
PMCPMC4893332
OpenAlexW2293597697

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.