Evidence map›Paper›PMID 28765841›Full record

ArticleThe Analyst2017

Capture, amplification, and global profiling of microRNAs from low quantities of whole cell lysate.

Nayi Wang, Jijun Cheng, Rong Fan, Jun Lu

Abstract read
In one paragraph

Article in The Analyst, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Nayi WangDepartment of Biomedical Engineering, Yale University, New Haven, CT 06520, USA. rong.fan@yale.edu.
Jijun Cheng
Rong Fan
Jun Lu

Funding

Project 3: Single Cell Measures of Intratumor Diversity for Optimal Breast Cancer TherapyU54CA193461 · NCI · DANA-FARBER CANCER INST · PI MICHOR, FRANZISKA · 2015 to 2020
$11.2M
Quantitative Modeling of MicroRNA:Target Interactions in Cell Fate TransitionR01GM116855 · NIGMS · WADSWORTH CENTER · PI DING, YE, LU, JUN · 2016 to 2019
$2.2M
Single cell cytokine analysis of circulating malignant hematopoietic cellsR33CA196411 · NCI · YALE UNIVERSITY · PI FAN, RONG, LEVINE, ROSS L · 2015 to 2017
$1.2M
High-throughput, Multiplexed Detection of miRNA Biomarkers in Single Cancer CellsR21CA177393 · NCI · YALE UNIVERSITY · PI DOYLE, PATRICK S, FAN, RONG · 2013 to 2015
$691k
NCI NIH HHS R21 CA177393NCI NIH HHS R33 CA196411NCI NIH HHS U54 CA193461NIGMS NIH HHS R01 GM116855
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small non-coding RNAs that control gene expression at the post-transcriptional level via a complex regulatory network that requires genome-wide miRNA profiling to dissect. The patterns of miRNA expression at the genome scale are rich in diagnostic and prognostic information for human diseases such as cancers. This analysis, however, requires multi-step purification of RNAs from large quantities of cells, which is not only time consuming and costly but also challenging in situations where cell numbers are limited. In this study, we report direct capture, amplification, and library preparation of miRNAs from whole cell lysate without the need of pre-purification. As a result, it enables genome-wide miRNA profiling reproducibly with low quantity of cell samples (∼500 hematopoietic cells). Specifically, we conducted a systematic investigation of two key steps - cell lysis for miRNA release and 3' adaptor ligation required for direct miRNA capture and amplification. The obtained expression profile not only distinguishes cell types but also detects individual miRNA alterations in closely related isogenic cell lines. This approach, which is substantially simple as compared to the standard methods because of elimination of the need for RNA purification, is advantageous for the measurement of low quantity samples.

Indexed as

Gene Expression ProfilingGene LibraryAnimalsGene Knockout TechniquesMiceMicroRNAsNIH 3T3 CellsMicroRNAs

Identifiers

PMID28765841
PMCPMC5605290

What OpenQuestion holds

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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.