Evidence map›Paper›PMID 18224407›Full record

ArticleInternational journal of hematology2008

MLL gene fusions in human leukaemias: in vivo modelling to recapitulate these primary tumourigenic events.

S Rodriguez-Perales, F Cano, M N Lobato, T H Rabbitts

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of hematology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Applications of Genome Editing Technology in Animal Disease Modeling and Gene Therapy.Computational and structural biotechnology journal · 2019
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Function of leukemogenic mixed lineage leukemia 1 (MLL) fusion proteins through distinct partner protein complexes.Proceedings of the National Academy of Sciences of the United States of America · 2011
    Article
  8. Deregulated transcription factors in leukemia.International journal of hematology · 2011
    Review
  9. Article
  10. 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 at 2 institutions in 1 country.

S Rodriguez-PeralesLeeds Institute of Molecular Medicine, Section of Experimental Therapeutics, St. James's University Hospital, Wellcome Trust Brenner Building, Leeds, LS9 7TF, UK.
F Cano
M N Lobato
T H Rabbitts
MRC Laboratory of Molecular Biology · GBWellcome Trust · GB

Funding

Medical Research Council G0600914Medical Research Council MC_U105178807
6 · The paper itself

Abstract

Recurrent reciprocal chromosomal translocations are frequently found in leukaemias and sarcomas as initiating events in these cancers. Mouse models of chromosomal translocations are not only important for the elucidation of the mechanism of these factors underlying the disease but are also important pre-clinical models for assessing new drug combinations, developing new rational therapeutic strategies based on new drugs and testing novel macromolecular drugs. We describe three technologies for creating chromosomal translocation mimics in mice, applied specifically to understand how the MLL-fusions contribute to leukaemia. An important finding of this work is that the lineage of the tumours can be controlled by the MLL-protein fusion. The translocation mimic methods can be applied to any human reciprocal chromosomal translocation.

Indexed as

AnimalsCell DifferentiationDisease Models, AnimalEmbryonic Stem CellsHistone-Lysine N-MethyltransferaseHumansLeukemiaLeukopoiesisMiceMyeloid-Lymphoid Leukemia ProteinTranslocation, GeneticHistone-Lysine N-MethyltransferaseKmt2a protein, mouseMyeloid-Lymphoid Leukemia Protein

Identifiers

PMID18224407
OpenAlexW2076893455

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.