Evidence map›Paper›PMID 23343252›Full record

ArticleJournal of hematology & oncology2013

Bioluminescence imaging of leukemia cell lines in vitro and in mouse xenografts: effects of monoclonal and polyclonal cell populations on intensity and kinetics of photon emission.

Sandra Christoph, Jennifer Schlegel, Francesca Alvarez-Calderon, Yong-Mi Kim, Luis N Brandao, Deborah DeRyckere, Douglas K Graham

Open access · goldAbstract read
In one paragraph

Article in Journal of hematology & oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Human Cancers Express TRAILshort, a Dominant Negative TRAIL Splice Variant, Which Impairs Immune Effector Cell Killing of Tumor Cells.Clinical cancer research : an official journal of the American Association for Cancer Research · 2020
    Article
  6. Article
  7. Article
  8. [Laboratory animal research · 2018
    Article
  9. Article
  10. Bioluminescence Imaging Enhances Analysis of Drug Responses in a Patient-Derived Xenograft Model of Pediatric ALL.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017
    Article
  11. UNC2025, a MERTK Small-Molecule Inhibitor, Is Therapeutically Effective Alone and in Combination with Methotrexate in Leukemia Models.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors at 3 institutions in 1 country.

Sandra ChristophDepartment of Pediatrics, University of Colorado Denver, School of Medicine, Aurora, CO 80045, USA.
Jennifer Schlegel
Francesca Alvarez-Calderon
Yong-Mi Kim
Luis N Brandao
Deborah DeRyckere
Douglas K Graham
University of Colorado Denver · USChildren's Hospital of Los Angeles · USNational Jewish Health · US

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
Medical Scientist Training ProgramT32GM008497 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI WILSON, CARA C. · 1993 to 2022
$15.2M
Novel Biologically Targeted Therapy Against the Mer and Axl Receptor Tyrosine KinR01CA137078 · NCI · UNIVERSITY OF COLORADO DENVER · PI GRAHAM, DOUGLAS K · 2010 to 2014
$1.5M
Exploiting altered glucose utilization in Bcr-Abl+ LeukemiaF31CA157166 · NCI · UNIVERSITY OF COLORADO DENVER · PI ALVAREZ CALDERON, FRANCESCA · 2010 to 2013
$142k
NCI NIH HHS F31 CA157166NCI NIH HHS F31CA157166NCI NIH HHS P30 CA046934NCI NIH HHS P30-CA046934NCI NIH HHS R01 CA137078NCI NIH HHS R01CA137078NIGMS NIH HHS T32 GM008497
6 · The paper itself

Abstract

backgroundWe investigated the utility of bioluminescence imaging (BLI) using firefly luciferase in monoclonal and polyclonal populations of leukemia cells in vitro and in vivo.

methodsMonoclonal and polyclonal human lymphoid and myeloid leukemia cell lines transduced with firefly luciferase were used for BLI.

resultsKinetics and dynamics of bioluminescence signal were cell line dependent. Luciferase expression decreased significantly over time in polyclonal leukemia cells in vitro. Transplantation of polyclonal luciferase-tagged cells in mice resulted in inconsistent signal intensity. After selection of monoclonal cell populations, luciferase activity was stable, equal kinetic and dynamic of bioluminescence intensity and strong correlation between cell number and light emission in vitro were observed. We obtained an equal development of leukemia burden detected by luciferase activity in NOD-scid-gamma mice after transplantation of monoclonal populations.

conclusionThe use of monoclonal leukemia cells selected for stable and equal luciferase activity is recommended for experiments in vitro and xenograft mouse models. The findings are highly significant for bioluminescence imaging focused on pre-clinical drug development.

Indexed as

Disease Models, AnimalLuminescent MeasurementsPhotonsAnimalsHumansImage Processing, Computer-AssistedInterleukin Receptor Common gamma SubunitIn Vitro TechniquesKineticsLeukemia, ExperimentalLuciferases, FireflyMiceMice, Inbred NODMice, SCIDTumor Cells, CulturedIl2rg protein, mouseInterleukin Receptor Common gamma SubunitLuciferases, Firefly

Identifiers

PMID23343252
PMCPMC3561164
OpenAlexW2165831623

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.