Evidence map›Paper›PMID 25090139›Full record

ArticleAnalytical chemistry2014

Label-free quantitative detection of tumor-derived exosomes through surface plasmon resonance imaging.

Ling Zhu, Kun Wang, Jian Cui, Huan Liu, Xiangli Bu, Huailei Ma, Weizhi Wang, He Gong, Christopher Lausted, Leroy Hood and 2 more

Abstract read
In one paragraph

Article in Analytical chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed
7.1field-weighted citation impact, top 2% 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

93 citing papers in PubMed, 251 citations in OpenAlex.

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  16. Theranostic signature of tumor-derived exosomes in cancer.Medical oncology (Northwood, London, England) · 2023
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33 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

12 authors at 4 institutions in 2 countries.

Ling ZhuNational Center for Nanoscience and Technology , No. 11, Beiyitiao Zhongguancun, Beijing 100190, P. R. China.
Kun Wang
Jian Cui
Huan Liu
Xiangli Bu
Huailei Ma
Weizhi Wang
He Gong
Christopher Lausted
Leroy Hood
Guang Yang
Zhiyuan Hu
Beijing Proteome Research Center · CNNational Center for Nanoscience and Technology · CNInstitute for Systems Biology · USNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomes are endosome-derived membrane vesicles carrying proteins and nucleic acids that are involved in cellular functions such as intercellular communication, protein and RNA secretion, and antigen presentation. Therefore, exosomes serve as potential biomarkers for many diseases including cancer. Because exosomes are difficult to enrich or purify from biofluids, quantification of exosomes is tedious and inaccurate. Here, we present a real-time, label-free, and quantitative method to detect and characterize tumor-derived exosomes without enrichment or purification. Utilizing surface plasmon resonance imaging (SPRi) in combination with antibody microarrays specific to the extracellular domains of exosome membrane proteins, exosomes in tumor cell culture medium can be quantitatively detected. We found a positive correlation between the metastatic potential of tumor cell lines and exosome secretion. This method provides an easy, efficient, and novel way to detect exosome secretion and thus an avenue toward the diagnosis and prognosis prediction of cancer.

Indexed as

Surface Plasmon ResonanceAnimalsAntibodiesCell Line, TumorCell MovementEndosomesHumansMiceMicroscopy, Electron, TransmissionNeoplasmsProtein Array Analysisrab27 GTP-Binding Proteinsrab GTP-Binding ProteinsRNA InterferenceRNA, Small InterferingAntibodiesRAB27A protein, humanrab27 GTP-Binding Proteinsrab GTP-Binding ProteinsRNA, Small Interfering

Identifiers

PMID25090139
PMCPMC4151789
OpenAlexW1969891160

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.