Evidence map›Paper›PMID 24985976›Full record

ArticleMolecular biology reports2014

ChIP-seq analysis of androgen receptor in LNCaP cell line.

Sifeng Tao, Haifei He, Qiang Chen

RetractedAbstract readRetracted PublicationRetraction Notice
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Sifeng TaoDepartment of Surgical Oncology, Second Affiliated Hospital, School of Medicine, Zhejiang University, 88 Jiefang Road, Hangzhou, 310009, China, ttsieng@hotmail.com.
Haifei He
Qiang Chen
Second Affiliated Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to screen target genes and gene functions of androgen receptor (AR) in LNCaP cell line by ChIP-seq data analysis. We downloaded the gene expression profile GSE14092 from Gene Expression Omnibus database and selected ChIP-seq data (GSM353644) of AR stimulated by androgen R1881 (R1881 stimulation group) and the ChIP-seq data (GSM353643) of AR without R1881 stimulation (control group). MACS peak calling software was used to identify the AR binding cites. After target genes selection and function analysis, motif finding analysis was utilized to predict the AR co-located transcription regulation factors, and we analyzed their functions through GO enrichment analysis. Total 27202 and 2730 AR binding sites were detected in the R1881 stimulation group and the control group, respectively and 398 and 58 target genes were identified in R1881 stimulation group and control group, respectively. Based on GO enrichment analysis, 20 biological processes which AR regulated in the LNCaP cells were enriched, including xenobiotic metabolic process, positive regulation of interleukin-2 production and cellular response to sterol etc. We finally identified 99 transcription factors with high motif enrichment significant levels, and the enrichment of AR co-located transcription factors was significantly enriched in the biological process of regulation of cell proliferation in which 13 transcription factors were involved (FOXJ1, FOXM1, NF1, SOX2, HOXD13, FOXO1, FOXP3, FOXO4, SOX9, PGR, DBP, JUN and TLX1). The analysis of AR target genes and gene functions help us to elucidate the mechanism of the prostate cancer on a molecular level. In addition, it will pave the way to effective therapies for prostatic cancer. However, further experiments are still needed to confirm our results.

Identifiers

PMID24985976
OpenAlexW1461785286

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.