Evidence map›Paper›PMID 15240921›Full record

ArticleJournal of biomedicine & biotechnology2004

Serial Analysis of Gene Expression: Applications in Malaria Parasite, Yeast, Plant, and Animal Studies.

Renu Tuteja, Narendra Tuteja

Abstract read
In one paragraph

Article in Journal of biomedicine & biotechnology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

2 authors.

Renu Tuteja
Narendra Tuteja

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The serial analysis of gene expression (SAGE) method is based on the isolation of unique sequence tags from individual transcripts and concatenation of tags serially into long DNA molecules. SAGE is an innovative technique that offers the potential of cataloging both the identity and relative frequencies of mRNA transcripts in a given RNA preparation. It can quantify low-abundance transcripts and reliably detect relatively small differences in transcript abundance between cell populations. SAGE data can be used to complement studies in cases where other gene expression methods may be more convenient or efficient. SAGE can be used in a wide variety of applications to identify disease-related genes, to analyze the effect of drugs on tissues, and to provide insights into the disease pathways. The most important application of SAGE is the identification of differentially expressed genes. In this review, we describe various applications of this powerful technology in malarial parasite, yeast, plant, and animal systems.

Identifiers

PMID15240921
PMCPMC548803

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.