Evidence map›Paper›PMID 34417743›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Long Non-coding RNA Expression Profiling Using Arraystar LncRNA Microarrays.

Yanggu Shi, Jindong Shang

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Emerging Roles of Long Non-Coding RNAs in Cardiovascular Diseases.Journal of cellular and molecular medicine · 2025
    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

2 authors.

Yanggu ShiArraystar Inc., Rockville, MD, USA. Yanggus@arraystar.com.
Jindong ShangArraystar Inc., Rockville, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arraystar LncRNA microarrays are designed for transcriptome-wide gene expression profiling of both lncRNAs and mRNAs on the same array. The array contents feature comprehensive collections of lncRNAs and include all canonical known coding mRNAs . Each lncRNA transcript is detected by a splice junction specific probe or a unique exon sequence , such that the alternatively spliced transcript isoforms or variants are reliably and accurately detected. The highly optimized experimental protocols and efficient workflow ensure sensitive, robust, and accurate microarray data generation. Standard data analyses are provided for microarray raw data processing, data quality control, gene expression clustering heat map visualization, differentially expressed lncRNAs and mRNAs , lncRNA subcategories, regulatory relationships of lncRNAs with the target mRNAs , gene ontology and pathway analyses. The LncRNA microarrays are a powerful tool for studying lncRNAs in biology and disease, with broad applications in gene expression profiling, gene regulatory mechanism research, lncRNA functional discovery, and biomarker development.

Indexed as

Microarray AnalysisGene Expression ProfilingGene OntologyGene Regulatory NetworksRNA, Long NoncodingRNA, MessengerRNA, Long NoncodingRNA, MessengerArraystarBiomarkerceRNAEpigeneticsExpression profilingGene expressionGene regulationlincRNAlncRNALong non-coding RNAMicroarray

Identifiers

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.