Evidence map›Paper›PMID 19279324›Full record

ArticleGenetics2009

Frequent unanticipated alleles of lethal giant larvae in Drosophila second chromosome stocks.

Fabrice Roegiers, Joshua Kavaler, Nicholas Tolwinski, Yu-Ting Chou, Hong Duan, Fernando Bejarano, Diana Zitserman, Eric C Lai

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

23 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

8 authors at 3 institutions in 1 country.

Fabrice RoegiersFox Chase Cancer Center, Institute for Cancer Research, Philadelphia, PA 19111, USA. fabrice.roegiers@fccc.edu
Joshua Kavaler
Nicholas Tolwinski
Yu-Ting Chou
Hong Duan
Fernando Bejarano
Diana Zitserman
Eric C Lai
Kettering University · USFox Chase Cancer Center · USColby College · US

Funding

Selective regulatory and biogenesis mechanisms for microRNAsR01GM083300 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI Eric C Lai · 2007 to 2026
$9.8M
Endocytic Control of Notch-Mediated Cell Fate Decisions in NeurogenesisR01NS059971 · NINDS · RESEARCH INST OF FOX CHASE CAN CTR · PI ROEGIERS, FABRICE J. · 2008 to 2012
$1.7M
NIGMS NIH HHS R01 GM083300NIGMS NIH HHS R01-GM083300NINDS NIH HHS R01 NS059971NINDS NIH HHS R01-NS059971
6 · The paper itself

Abstract

Forty years ago, a high frequency of lethal giant larvae (lgl) alleles in wild populations of Drosophila melanogaster was reported. This locus has been intensively studied for its roles in epithelial polarity, asymmetric neural divisions, and restriction of tissue proliferation. Here, we identify a high frequency of lgl alleles in the Bloomington second chromosome deficiency kit and the University of California at Los Angeles Bruinfly FRT40A-lethal P collection. These unrecognized aberrations confound the use of these workhorse collections for phenotypic screening or genetic mapping. In addition, we determined that independent alleles of insensitive, reported to affect asymmetric cell divisions during sensory organ development, carry lgl deletions that are responsible for the observed phenotypes. Taken together, these results encourage the routine testing of second chromosome stocks for second-site alleles of lgl.

Indexed as

AllelesChromosome AberrationsAnimalsDrosophila melanogasterDrosophila ProteinsGenes, LethalTumor Suppressor ProteinsDrosophila Proteinsl(2)gl protein, DrosophilaTumor Suppressor Proteins

Identifiers

PMID19279324
PMCPMC2674838
OpenAlexW2100645133

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.