Evidence map›Paper›PMID 14722671›Full record

ReviewCancer immunology, immunotherapy : CII2004

The use of gene function to identify the rate-limiting steps controlling cell fate.

Gwyn T Williams, Farzin Farzaneh

Abstract readReview
In one paragraph

Review in Cancer immunology, immunotherapy : CII, 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.

Gwyn T WilliamsSchool of Life Sciences, Keele University, ST5 5BG, Keele, UK. g.t.williams@keele.ac.uk
Farzin Farzaneh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The size and complexity of the genomes of mammals in general, and humans in particular, is such that it will take many years to utilise this information to produce a genuine understanding of the control of cell behaviour. Since there are tens of thousands of genes to consider, the task of identifying those which play the most significant roles, biologically and medically, is both crucial and very demanding. Here we emphasise the importance of functional approaches to answering this question, i.e. the application of techniques which use the function of the gene itself in identifying the critical rate-limiting steps in biological processes. In this review, we use the functional analysis of one of the most important of these processes, the control of survival and apoptosis, to illustrate the power of a number of functional genomic strategies.

Indexed as

ApoptosisCloning, MolecularGene LibraryGenesGenomeHerpesvirus 4, HumanHumansMutagenesis, InsertionalRetroviridae

Identifiers

PMID14722671
PMCPMC11032792

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.