Evidence map›Paper›PMID 25625182›Full record

ArticleAnalytical chemistry2015

Node-pore sensing enables label-free surface-marker profiling of single cells.

Karthik R Balakrishnan, Jeremy C Whang, Richard Hwang, James H Hack, Lucy A Godley, Lydia L Sohn

Abstract read
In one paragraph

Article in Analytical chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Integrated In-Plane Nanofluidic Devices for Resistive-Pulse Sensing.Annual review of analytical chemistry (Palo Alto, Calif.) · 2024
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Developments in label-free microfluidic methods for single-cell analysis and sorting.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2019
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
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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

6 authors at 2 institutions in 1 country.

Karthik R BalakrishnanDepartment of Mechanical Engineering, University of California , Berkeley, California 94720, United States.
Jeremy C Whang
Richard Hwang
James H Hack
Lucy A Godley
Lydia L Sohn
University of California, Berkeley · USUniversity of Chicago · US

Funding

Rapid Label-Free Detection of Acute Promyelocytic LeukemiaR21CA156139 · NCI · UNIVERSITY OF CALIFORNIA BERKELEY · PI SOHN, LYDIA L · 2011 to 2012
$356k
NCI NIH HHS 5R21CA156139-02NCI NIH HHS R21 CA156139
6 · The paper itself

Abstract

Flow cytometry is a ubiquitous, multiparametric method for characterizing cellular populations. However, this method can grow increasingly complex with the number of proteins that need to be screened simultaneously: spectral emission overlap of fluorophores and the subsequent need for compensation, lengthy sample preparation, and multiple control tests that need to be performed separately must all be considered. These factors lead to increased costs, and consequently, flow cytometry is performed in core facilities with a dedicated technician operating the instrument. Here, we describe a low-cost, label-free microfluidic method that can determine the phenotypic profiles of single cells. Our method employs Node-Pore Sensing to measure the transit times of cells as they interact with a series of different antibodies, each corresponding to a specific cell-surface antigen, that have been functionalized in a single microfluidic channel. We demonstrate the capabilities of our method not only by screening two acute promyelocytic leukemia human cells lines (NB4 and AP-1060) for myeloid antigens, CD13, CD14, CD15, and CD33, simultaneously, but also by distinguishing a mixture of cells of similar size—AP-1060 and NALM-1—based on surface markers CD13 and HLA-DR. Furthermore, we show that our method can screen complex subpopulations in clinical samples: we successfully identified the blast population in primary human bone marrow samples from patients with acute myeloid leukemia and screened these cells for CD13, CD34, and HLA-DR. We show that our label-free method is an affordable, highly sensitive, and user-friendly technology that has the potential to transform cellular screening at the benchside.

Indexed as

Antigens, CDAntigens, SurfaceBiomarkersBone MarrowHumansImmunophenotypingLeukemia, Promyelocytic, AcuteMicrofluidicsPorositySingle-Cell AnalysisTumor Cells, CulturedAntigens, CDAntigens, SurfaceBiomarkers

Identifiers

PMID25625182
PMCPMC4350414
OpenAlexW2314625375

What OpenQuestion holds

Textmetadata
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.