Search PubMedSearch

PubMed · 7517081

[Control over prostatic functional activity].

Abstract

The investigation of the tendency in the development of benign hyperplasia of the prostate is a crucial point in decision on the treatment initiation, schedule and policy. In view of this, the knowledge of the intensity of cellular proliferation and secretion, i.e. prostatic functional activity, in line with detrusor assessment is held essential. Optimal criteria of this value can be obtained by histological examination of prostatic biopsies, investigation of androgen and estrogen receptors in distant adenomatous nodes, by comparison of various biochemical ingredients in prostatic secretion. Twelve biochemical ingredients of prostatic secretion were studied in patients of the control group, in those with prostatic stones, adenoma, chronic prostatitis. The treatment included either androgenic, or antiandrogenic, or estrogenic therapy. Prostatic secretion biochemistry analyzed mathematically showed fluctuations in zinc ions concentration which appeared most significant. It is inferred that zinc ion concentration in prostatic secretion must be considered a significant means of overall evaluation of prostatic function able to represent the capacity of glandular epithelium for response to androgenic stimulation or estrogenic (antiandrogenic) inhibition of secretory and proliferative processes.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

V G Goriunov, G E Kuz'min, V V Evdokimov, L P Evseev, G G Alakhverdov. [Control over prostatic functional activity].. https://pubmed.ncbi.nlm.nih.gov/7517081/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans