Evidence map›Paper›PMID 29431756›Full record

ArticleThe Analyst2018

Combining asymmetric PCR-based enzymatic amplification with silicon photonic microring resonators for the detection of lncRNAs from low input human RNA samples.

Maria C Cardenosa-Rubio, Richard M Graybill, Ryan C Bailey

Abstract read
In one paragraph

Article in The Analyst, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Emerging Roles of Long Non-Coding RNAs in Cardiovascular Diseases.Journal of cellular and molecular medicine · 2025
    Review
  4. Bridging biological samples to functional nucleic acid biosensor applications: current enzymatic-based strategies for single-stranded DNA generation.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2024
    Review
  5. Review
  6. On-Chip Optical Detection of Viruses: A Review.Advanced photonics research · 2021
    Article
  7. Article
  8. 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

3 authors.

Maria C Cardenosa-RubioDepartment of Chemistry, University of Michigan, 930 N. University Ave., Ann Arbor, Michigan 48104, USA. ryancb@umich.edu.
Richard M Graybill
Ryan C Bailey

Funding

Training the Next Generation of Researchers in Cancer Nanotechnology at the NCI MR25CA154015 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BASHIR, RASHID, NARDULLI, ANN · 2010 to 2014
$1.5M
Meso-plex miRNA and protein profiling for cancer diagnostics using chip-integrateR33CA177462 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BAILEY, RYAN C, JOHNSON, MARK D · 2013 to 2015
$984k
NCI NIH HHS R25 CA154015NCI NIH HHS R33 CA177462
6 · The paper itself

Abstract

A method for quantifying biologically relevant long-non-coding RNAs by combining nucleic acid amplification via asymmetric polymerase chain reaction (PCR) with label-free PCR product detection using silicon photonic microring resonator arrays is described. This approach eliminates the need for fluorophores, which presents a limit for spectral multiplexing in conventional qPCR methods, and rather offers potential for much higher levels of plexity by spatially arraying capture probes. Here, we demonstrate the potential of this technique to detect two differentially expressed lncRNA transcripts and an internal control mRNA transcript in different commercial human tissue specimens, as well as in a glioblastoma cell line using only nanogram input amounts of total RNA. The obtained results were validated using single-plex RT-qPCR and found to be in good agreement, demonstrating the potential of this technique for lncRNA quantification applications.

Indexed as

PhotonsSiliconCell Line, TumorHumansPolymerase Chain ReactionRNA, Long NoncodingRNA, MessengerRNA, Long NoncodingRNA, MessengerSilicon

Identifiers

PMID29431756
PMCPMC5826891

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Registered trials

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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.