ArticleBMC genomics2006
Transcriptomes of human prostate cells.
Article in BMC genomics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
What it found
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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.
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.
Who cites it
39 citing papers in PubMed, 71 citations in OpenAlex.
- Sideroflexin family genes were dysregulated and associated with tumor progression in prostate cancers.Human genomics · 2025Article
- Prostate cancer research: tools, cell types, and molecular targets.Frontiers in oncology · 2024Review
- Expressions of glucose transporter genes are diversely attenuated and significantly associated with prostate cancer progression.American journal of clinical and experimental urology · 2023Article
- TMEM158 expression is negatively regulated by AR signaling and associated with favorite survival outcomes in prostate cancers.Frontiers in oncology · 2022Article
- The opposing action of stromal cell proenkephalin and stem cell transcription factors in prostate cancer differentiation.BMC cancer · 2021Article
- PAQR6 Upregulation Is Associated with AR Signaling and Unfavorite Prognosis in Prostate Cancers.Biomolecules · 2021Article
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- Article
- A Cellular Anatomy of the Normal Adult Human Prostate and Prostatic Urethra.Cell reports · 2018Article
- OMIP-040: Optimized gating of human prostate cellular subpopulations.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2017Article
- Cancer-secreted AGR2 induces programmed cell death in normal cells.Oncotarget · 2016Article
- Expression of two WFDC1/ps20 isoforms in prostate stromal cells induces paracrine apoptosis through regulation of PTGS2/COX-2.British journal of cancer · 2016Article
- Nfib Regulates Transcriptional Networks That Control the Development of Prostatic Hyperplasia.Endocrinology · 2016Article
- Reprogramming of prostate cancer cells--technical challenges.Current urology reports · 2015Review
- NFI transcription factors interact with FOXA1 to regulate prostate-specific gene expression.Molecular endocrinology (Baltimore, Md.) · 2014Article
- Proteomic analysis of patient tissue reveals PSA protein in the stroma of benign prostatic hyperplasia.The Prostate · 2014Article
- DNA hypermethylation in prostate cancer is a consequence of aberrant epithelial differentiation and hyperproliferation.Cell death and differentiation · 2014Article
- Conserved two-step regulatory mechanism of human epithelial differentiation.Stem cell reports · 2014Article
- Bladder expression of CD cell surface antigens and cell-type-specific transcriptomes.Cell and tissue research · 2012Article
- New centromeric component CENP-W is an RNA-associated nuclear matrix protein that interacts with nucleophosmin/B23 protein.The Journal of biological chemistry · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundThe gene expression profiles of most human tissues have been studied by determining the transcriptome of whole tissue homogenates. Due to the solid composition of tissues it is difficult to study the transcriptomes of individual cell types that compose a tissue. To overcome the problem of heterogeneity we have developed a method to isolate individual cell types from whole tissue that are a source of RNA suitable for transcriptome profiling.
resultsUsing monoclonal antibodies specific for basal (integrin beta4), luminal secretory (dipeptidyl peptidase IV), stromal fibromuscular (integrin alpha 1), and endothelial (PECAM-1) cells, respectively, we separated the cell types of the prostate with magnetic cell sorting (MACS). Gene expression of MACS-sorted cell populations was assessed with Affymetrix GeneChips. Analysis of the data provided insight into gene expression patterns at the level of individual cell populations in the prostate.
conclusionIn this study, we have determined the transcriptome profile of a solid tissue at the level of individual cell types. Our data will be useful for studying prostate development and cancer progression in the context of single cell populations within the organ.
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What OpenQuestion holds
Registered trials
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.