Evidence map›Paper›PMID 26543513›Full record

ArticleBiomicrofluidics2015

An integrated microfluidic system for screening of phage-displayed peptides specific to colon cancer cells and colon cancer stem cells.

Yu-Jui Che, Huei-Wen Wu, Lien-Yu Hung, Ching-Ann Liu, Hwan-You Chang, Kuan Wang, Gwo-Bin Lee

Abstract read
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Article in Biomicrofluidics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

7 authors.

Yu-Jui CheDepartment of Power Mechanical Engineering, National Tsing Hua University , Hsinchu 30013, Taiwan.
Huei-Wen WuDepartment of Power Mechanical Engineering, National Tsing Hua University , Hsinchu 30013, Taiwan.
Lien-Yu HungDepartment of Power Mechanical Engineering, National Tsing Hua University , Hsinchu 30013, Taiwan.
Ching-Ann LiuNanomedicine Program and Institute of Biological Chemistry, Academia Sinica , Taipei 11529, Taiwan.
Hwan-You ChangInstitute of Molecular Medicine, National Tsing Hua University , Hsinchu 30013, Taiwan.
Kuan WangNanomedicine Program and Institute of Biological Chemistry, Academia Sinica , Taipei 11529, Taiwan.
Gwo-Bin Lee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Affinity reagents recognizing biomarkers specifically are essential components of clinical diagnostics and target therapeutics. However, conventional methods for screening of these reagents often have drawbacks such as large reagent consumption, the labor-intensive or time-consuming procedures, and the involvement of bulky or expensive equipment. Alternatively, microfluidic platforms could potentially automate the screening process within a shorter period of time and reduce reagent and sample consumption dramatically. It has been demonstrated recently that a subpopulation of tumor cells known as cancer stem cells possess high drug resistance and proliferation potential and are regarded as the main cause of metastasis. Therefore, a peptide that recognizes cancer stem cells and differentiates them from other cancer cells will be extremely useful in early diagnosis and target therapy. This study utilized M13 phage display technology to identify peptides that bind, respectively, to colon cancer cells and colon cancer stem cells using an integrated microfluidic system. In addition to positive selection, a negative selection process was integrated on the chip to achieve the selection of peptides of high affinity and specificity. We successfully screened three peptides specific to colon cancer cells and colon cancer stem cells, namely, HOLC-1, HOLC-2, and COLC-1, respectively, and their specificity was measured by the capture rate between target, control, and other cell lines. The capture rates are 43.40 ± 7.23%, 45.16 ± 7.12%, and 49.79 ± 5.34% for colon cancer cells and colon cancer stem cells, respectively, showing a higher specificity on target cells than on control and other cell lines. The developed technique may be promising for early diagnosis of cancer cells and target therapeutics.

Identifiers

PMID26543513
PMCPMC4608964

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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.