Evidence map›Paper›PMID 17193924›Full record

ArticleGene expression2006

An efficient strategy to identify early TPA-responsive genes during differentiation of HL-60 cells.

Ling-Yueh Hu, Clifford G Tepper, Su-Hao Lo, Wen-Chang Lin

Open access · hybridAbstract read
In one paragraph

Article in Gene expression, 2006. 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
0.5field-weighted citation impact, top 35% 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, 8 citations in OpenAlex.

  1. Article
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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

4 authors at 3 institutions in 2 countries.

Ling-Yueh HuGraduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan, ROC.
Clifford G Tepper
Su-Hao Lo
Wen-Chang Lin
Institute of Molecular Medicine · INNational Defense Medical Center · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have adopted a special experimental strategy to identify early responsive genes during 12-O-tetradecanoylphorbol-13-acetate (TPA)-induced macrophage-like differentiation of human myeloid leukemia cells (HL-60). This was performed in cells that were synchronized by nocodazole and treated with TPA in the presence of a protein synthesis inhibitor, cycloheximide, to prevent activation of secondary targets and therefore increase the probability of early transcripts in total RNA pool. The expression alteration was analyzed by microarray and the selection criteria of candidate genes were adjusted by real-time PCR validation to increase its reliability. Finally, 56 genes were identified as early TPA-responsive genes in this multiscreening step approach. Furthermore, upregulation of three candidate genes (NFIL3, SKIL, and JMJD3) was shown to be dosage and time dependent with TPA treatment and was found to be directly regulated by TPA through PKC-dependent signaling. These results revealed that our screenings provide a useful and efficient approach to identify early TPA-responsive genes and these genes might involve the regulation of TPA-induced differentiation program of HL-60 cells as primary

Indexed as

Antineoplastic AgentsBiomarkers, TumorCarcinogensCell DifferentiationCycloheximideGene Expression ProfilingGene Expression Regulation, NeoplasticHL-60 CellsHumansMacrophagesNocodazoleOligonucleotide Array Sequence AnalysisProtein Synthesis InhibitorsTetradecanoylphorbol AcetateAntineoplastic AgentsBiomarkers, TumorCarcinogensCycloheximideNocodazoleProtein Synthesis InhibitorsTetradecanoylphorbol Acetate

Identifiers

PMID17193924
PMCPMC6032445
OpenAlexW2057353500

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.