Evidence map›Paper›PMID 17090317›Full record

ArticleBMC genomics2006

Novel subtractive transcription-based amplification of mRNA (STAR) method and its application in search of rare and differentially expressed genes in AD brains.

Qing Yan Liu, Roy R Sooknanan, Lawrence T Malek, Maria Ribecco-Lutkiewicz, Joy X Lei, Hui Shen, Boleslaw Lach, P Roy Walker, Joel Martin, Marianna Sikorska

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC genomics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 44% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Text mining applications in psychiatry: a systematic literature review.International journal of methods in psychiatric research · 2016
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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

10 authors at 4 institutions in 2 countries.

Qing Yan LiuNeurobiology Program, Institute for Biological Sciences, National Research Council of Canada, Ottawa, Ontario, K1A 0R6, Canada. qing_yan.liu@nrc.gc.ca
Roy R Sooknanan
Lawrence T Malek
Maria Ribecco-Lutkiewicz
Joy X Lei
Hui Shen
Boleslaw Lach
P Roy Walker
Joel Martin
Marianna Sikorska
Institute for Biological Sciences · CAAlethia Biotherapeutics (Canada) · CAHamilton General Hospital · CANational Research Council Canada · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) is a complex disorder that involves multiple biological processes. Many genes implicated in these processes may be present in low abundance in the human brain. DNA microarray analysis identifies changed genes that are expressed at high or moderate levels. Complementary to this approach, we described here a novel technology designed specifically to isolate rare and novel genes previously undetectable by other methods. We have used this method to identify differentially expressed genes in brains affected by AD. Our method, termed Subtractive Transcription-based Amplification of mRNA (STAR), is a combination of subtractive RNA/DNA hybridization and RNA amplification, which allows the removal of non-differentially expressed transcripts and the linear amplification of the differentially expressed genes.

resultsUsing the STAR technology we have identified over 800 differentially expressed sequences in AD brains, both up- and down- regulated, compared to age-matched controls. Over 55% of the sequences represent genes of unknown function and roughly half of them were novel and rare discoveries in the human brain. The expression changes of nearly 80 unique genes were further confirmed by qRT-PCR and the association of additional genes with AD and/or neurodegeneration was established using an in-house literature mining tool (LitMiner).

conclusionThe STAR process significantly amplifies unique and rare sequences relative to abundant housekeeping genes and, as a consequence, identifies genes not previously linked to AD. This method also offers new opportunities to study the subtle changes in gene expression that potentially contribute to the development and/or progression of AD.

Indexed as

GenesTranscription, Genetic3' Untranslated RegionsAlzheimer DiseaseBrainDNA, ComplementaryGene Expression ProfilingGene Expression RegulationGene LibraryHumansNerve Tissue ProteinsNucleic Acid Amplification TechniquesNucleic Acid HybridizationReverse Transcriptase Polymerase Chain ReactionRNA, MessengerSubtraction Technique3' Untranslated RegionsDNA, ComplementaryNerve Tissue ProteinsRNA, Messenger

Identifiers

PMID17090317
PMCPMC1637111
OpenAlexW1786785735

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.