Evidence map›Paper›PMID 12242245›Full record

ArticleGenetics2002

An allelic series of mutations in the Kit ligand gene of mice. II. Effects of ethylnitrosourea-induced Kitl point mutations on survival and peripheral blood cells of Kitl(Steel) mice.

S Rajaraman, W S Davis, A Mahakali-Zama, H K Evans, L B Russell, M A Bedell

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2002. 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
2.5field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 30 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

S RajaramanDepartment of Genetics, University of Georgia, Athens, Georgia 30602-7223, USA.
W S Davis
A Mahakali-Zama
H K Evans
L B Russell
M A Bedell
University of Georgia · USOak Ridge National Laboratory · US

Funding

NIEHS NIH HHS Y1ES8048/0524-I119A1
6 · The paper itself

Abstract

The ligand for the Kit receptor tyrosine kinase is Kit ligand (Kitl; also known as mast cell growth factor, stem cell factor, and Steel factor), which is encoded at the Steel (Sl) locus of mice. Previous studies revealed that Kitl(Sl) mutations have semidominant effects; mild pigmentation defects and macrocytic, hypoplastic anemia occur in heterozygous mice, and more severe pigmentation defects and anemia occur in homozygotes. Lethality also occurs in mice homozygous for severe Kitl(Sl) mutations. We describe the effects of seven new N-ethyl-N-nitrosourea (ENU)-induced Kitl(Sl) mutations and two previously characterized severe Kitl(Sl) mutations on pigmentation, peripheral blood cells, and mouse survival. Mice heterozygous for each of the nine mutations had reduced coat pigmentation and macrocytosis of peripheral blood. In the case of some of these mutations, however, red blood cell (RBC) counts, hemoglobin concentrations, and hematocrits were normal in heterozygotes, even though homozygotes exhibited severely reduced RBC counts and lethality. In homozygous mice, the extent of anemia generally correlates with effects on viability for most Kitl(Sl) mutations; i.e., most mutations that cause lethality also cause a more severe anemia than that of mutations that allow viability. Interestingly, lethality and anemia were not directly correlated in the case of one Kitl(Sl) mutation.

Indexed as

AllelesPoint MutationAnimalsAnimals, NewbornErythrocytesEthylnitrosoureaHeterozygoteHomozygoteMiceMutagensPigmentationStem Cell FactorSurvival AnalysisEthylnitrosoureaMutagensStem Cell Factor

Identifiers

PMID12242245
PMCPMC1462233
OpenAlexW2156274208

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.