Evidence map›Paper›PMID 37680311›Full record

ArticleMicrosystems & nanoengineering2023

High-throughput extraction on a dynamic solid phase for low-abundance biomarker isolation from biological samples.

Lucile Alexandre, Monica Araya-Farias, Manh-Louis Nguyen, Nikoletta Naoumi, Giacomo Gropplero, Electra Gizeli, Laurent Malaquin, Stéphanie Descroix

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2023. 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. Review
  2. Review
  3. 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

8 authors.

Lucile Alexandre *Laboratoire Physico-Chimie Curie, CNRS UMR 168, Institut Curie, PSL Research University, Paris, France.ORCID 0000-0001-9969-4337
Monica Araya-Farias *Laboratoire Physico-Chimie Curie, CNRS UMR 168, Institut Curie, PSL Research University, Paris, France.
Manh-Louis NguyenLaboratoire Physico-Chimie Curie, CNRS UMR 168, Institut Curie, PSL Research University, Paris, France.
Nikoletta NaoumiDepartment of Biology, University of Crete, Heraklion, Greece.
Giacomo GroppleroLaboratoire Physico-Chimie Curie, CNRS UMR 168, Institut Curie, PSL Research University, Paris, France.
Electra GizeliDepartment of Biology, University of Crete, Heraklion, Greece.
Laurent MalaquinLaboratoire d'analyse et d'architecture des systèmes (LAAS) CNRS, Elia Group, Toulouse, France.
Stéphanie DescroixLaboratoire Physico-Chimie Curie, CNRS UMR 168, Institut Curie, PSL Research University, Paris, France.ORCID 0000-0003-0027-352X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liquid biopsy, in particular circulating tumor DNA (ctDNA) analysis, has paved the way for a new noninvasive approach to cancer diagnosis, treatment selection and follow-up. As a crucial step in the analysis, the extraction of the genetic material from a complex matrix needs to meet specific requirements such as high specificity and low loss of target. Here, we developed a new generation of microfluidic fluidized beds (FBs) that enable the efficient extraction and preconcentration of specific ctDNA sequences from human serum with flow rates up to 15 µL/min. We first demonstrated that implementation of a vibration system inducing flow rate fluctuations combined with a mixture of different bead sizes significantly enhanced bead homogeneity, thereby increasing capture efficiency. Taking advantage of this new generation of high-throughput magnetic FBs, we then developed a new method to selectively capture a double-stranded (dsDNA) BRAF mutated DNA sequence in complex matrices such as patient serum. Finally, as proof of concept, ligation chain reaction (LCR) assays were performed to specifically amplify a mutated BRAF sequence, allowing the detection of concentrations as low as 6 × 10

Indexed as

EngineeringMicrofluidics

Identifiers

PMID37680311
PMCPMC10480215

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.