Evidence map›Paper›PMID 18584080›Full record

ArticleLab on a chip2008

Analyzing cell mechanics in hematologic diseases with microfluidic biophysical flow cytometry.

Michael J Rosenbluth, Wilbur A Lam, Daniel A Fletcher

Open access · greenAbstract read
In one paragraph

Article in Lab on a chip, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers.

0numbers the graph read from it
0cells of the map it votes in
122citing papers in PubMed
7.2field-weighted citation impact, top 3% 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

122 citing papers in PubMed, 297 citations in OpenAlex.

  1. Review
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  5. Characterization of cellular wound resistance in the giant ciliatebioRxiv : the preprint server for biology · 2025
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  19. Review
  20. Measuring cell deformation by microfluidics.Frontiers in bioengineering and biotechnology · 2023
    Review

62 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Michael J RosenbluthDepartment of Bioengineering, 608B Stanley Hall, Berkeley, CA 94720-3220, USA.
Wilbur A Lam
Daniel A Fletcher
University of California, Berkeley · US

Funding

Nanomechanics of Acute LeukemiaF32HL078531 · NHLBI · UNIVERSITY OF CALIFORNIA BERKELEY · PI LAM, WILBUR A · 2004 to 2007
$244k
NHLBI NIH HHS F32 HL078531
6 · The paper itself

Abstract

Pathological processes in hematologic diseases originate at the single-cell level, often making measurements on individual cells more clinically relevant than population averages from bulk analysis. For this reason, flow cytometry has been an effective tool for single-cell analysis of properties using light scattering and fluorescence labeling. However, conventional flow cytometry cannot measure cell mechanical properties, alterations of which contribute to the pathophysiology of hematologic diseases such as sepsis, diabetic retinopathy, and sickle cell anemia. Here we present a high-throughput microfluidics-based 'biophysical' flow cytometry technique that measures single-cell transit times of blood cell populations passing through in vitro capillary networks. To demonstrate clinical relevance, we use this technique to characterize biophysical changes in two model disease states in which mechanical properties of cells are thought to lead to microvascular obstruction: (i) sepsis, a process in which inflammatory mediators in the bloodstream activate neutrophils and (ii) leukostasis, an often fatal and poorly understood complication of acute leukemia. Using patient samples, we show that cell transit time through and occlusion of microfluidic channels is increased for both disease states compared to control samples, and we find that mechanical heterogeneity of blood cell populations is a better predictor of microvascular obstruction than average properties. Inflammatory mediators involved in sepsis were observed to significantly affect the shape and magnitude of the neutrophil transit time population distribution. Altered properties of leukemia cell subpopulations, rather than of the population as a whole, were found to correlate with symptoms of leukostasis in patients-a new result that may be useful for guiding leukemia therapy. By treating cells with drugs that affect the cytoskeleton, we also demonstrate that their transit times could be significantly reduced. Biophysical flow cytometry offers a low-cost and high-throughput diagnostic and drug discovery platform for hematologic diseases that affect microcirculatory flow.

Indexed as

Biomechanical PhenomenaBlood CellsCell Line, TumorCell MovementCell ShapeCell SizeFlow CytometryHematologic DiseasesHumansInflammation MediatorsLeukemiaLeukostasisMicrofluidic Analytical TechniquesSepsisTime FactorsInflammation Mediators

Identifiers

PMID18584080
PMCPMC7931849
OpenAlexW2055099137

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.