Evidence map›Paper›PMID 24316376›Full record

ArticleMolecular and cellular endocrinology2014

Differential expression of nasal embryonic LHRH factor (NELF) variants in immortalized GnRH neuronal cell lines.

Samuel D Quaynor, Lindsey Y Goldberg, Eun Kyung Ko, Robert K Stanley, Durkadin Demir, Hyung-Goo Kim, Lynn P Chorich, Richard S Cameron, Lawrence C Layman

Abstract read
In one paragraph

Article in Molecular and cellular endocrinology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Nasal Placode Development, GnRH Neuronal Migration and Kallmann Syndrome.Frontiers in cell and developmental biology · 2019
    Article
  3. 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

9 authors at 3 institutions in 2 countries.

Samuel D QuaynorSection of Reproductive Endocrinology, Infertility, & Genetics, Department of Obstetrics & Gynecology; Institute of Molecular Medicine and Genetics; Georgia Regents University, Augusta, GA 30912, USA.
Lindsey Y GoldbergDepartment of Internal Medicine, University of Kentucky, Lexington, KY 40536-0284, USA.
Eun Kyung KoSection of Reproductive Endocrinology, Infertility, & Genetics, Department of Obstetrics & Gynecology; Institute of Molecular Medicine and Genetics; Georgia Regents University, Augusta, GA 30912, USA.
Robert K StanleyDepartment of Chemistry and Biochemistry, University of Notre Dame, South Bend, IN 46556, USA.
Durkadin DemirDepartment of Medical Biology and Genetics, Akdeniz University, Antalya 07058, Turkey.
Hyung-Goo KimSection of Reproductive Endocrinology, Infertility, & Genetics, Department of Obstetrics & Gynecology; Institute of Molecular Medicine and Genetics; Georgia Regents University, Augusta, GA 30912, USA.
Lynn P ChorichSection of Reproductive Endocrinology, Infertility, & Genetics, Department of Obstetrics & Gynecology; Institute of Molecular Medicine and Genetics; Georgia Regents University, Augusta, GA 30912, USA.
Richard S CameronDepartment of Medicine; Institute of Molecular Medicine and Genetics; Georgia Regents University, Augusta, GA 30912, USA.
Lawrence C LaymanSection of Reproductive Endocrinology, Infertility, & Genetics, Department of Obstetrics & Gynecology; Institute of Molecular Medicine and Genetics; Georgia Regents University, Augusta, GA 30912, USA. Electronic address: lalayman@gru.edu.
Augusta University · USAkdeniz University · TRUniversity of Notre Dame · US

Funding

Genetics of Delayed Puberty.R01HD033004 · NICHD · MEDICAL COLLEGE OF GEORGIA (MCG) · PI LAYMAN, LAWRENCE C · 2003 to 2014
$3.1M
GENETICS OF DELAYED PUBERTYR29HD033004 · NICHD · UNIVERSITY OF CHICAGO · PI LAYMAN, LAWRENCE C · 1997 to 2001
$213k
NICHD NIH HHS HD33004NICHD NIH HHS R01 HD033004NICHD NIH HHS R29 HD033004
6 · The paper itself

Abstract

NELF, a protein identified in migratory GnRH neurons, is predominantly nuclear and alternatively spliced. However, specific NELF splice variants expressed in immortalized GnRH neuronal cell lines from mouse and human are not known. RNA from migratory (GN11 and NLT) and postmigratory (GT1-7) cells in mouse, and (FNCB4-hTERT) cells in human was subjected to RT-PCR. RT-PCR products were cloned, electrophoresed on denaturing gradient gels and sequenced. In addition, quantitative RT-PCR was performed using variant-specific primers. Western blot and immunofluorescence using confocal microscopy were performed for selected variants. Nelf variant 2 (v2), which contains a nuclear localization signal (NLS), was the predominant variant in all mouse and human GnRH neurons. Variants without a NLS (v3 in mouse; v4 in human) were identified. In mouse, v2 protein expression was nuclear, while v3 was non-nuclear. In mouse GnRH neurons, six Nelf splice variant transcripts were identified, including three previously unreported variants. In human, four NELF variant transcripts were observed. In both mouse and human, nuclear and non-nuclear variant transcript and protein were identified, explaining variable NELF cellular localization.

Indexed as

Gene Expression RegulationAlternative SplicingAnimalsCell Line, TransformedCell MovementCell NucleusGonadotropin-Releasing HormoneHumansMiceNeuronsNuclear Localization SignalsProtein IsoformsRNA, MessengerSignal TransductionSpecies SpecificityTranscription FactorsGonadotropin-Releasing HormoneNELF protein, mouseNSMF protein, humanNuclear Localization SignalsProtein IsoformsRNA, MessengerTranscription FactorsGN11 cellsGnRH neuronsGT1-7 cellsNasal embryonic LHRH factor (NELF)NLT cellsNSMF

Identifiers

PMID24316376
PMCPMC3930684
OpenAlexW1980133885

What OpenQuestion holds

Textmetadata
LicenceTDM
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.