Breast Tissue Microbiota
Breast Tissue Microbiota - Related Videos
10:51
Modeling Breast Cancer in Human Breast Tissue using a Microphysiological System
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Cited by 5 •
2021
This protocol describes the construction of an in vitro microphysiological system for studying breast cancer using primary human breast tissue with off the shelf materials.
07:32
Murine Fecal Isolation and Microbiota Transplantation
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Cited by 4 •
2023
The goal here is to outline a protocol to investigate the mechanisms of dysbiosis in cardiovascular disease. This paper discusses how to aseptically collect and transplant murine fecal samples, isolate intestines, and use the "Swiss-roll" method, followed by immunostaining techniques to interrogate changes in the gastrointestinal tract.
07:45
Orthotopic Transplantation of Breast Tumors as Preclinical Models for Breast Cancer
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Cited by 14 •
2020
Patient-derived xenograft (PDX) models and transplantable genetically engineered mouse models faithfully recapitulate human disease and are preferred models for basic and translational breast cancer research. Here, a method is described to orthotopically transplant breast tumor fragments into the mammary fat pad to study tumor biology and evaluate drug response.
06:01
Clinicopathological Analysis of miRNA Expression in Breast Cancer Tissues by Using miRNA In Situ Hybridization
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Cited by 4 •
2016
Here we present a protocol to detect miRNA expression in breast cancer patient samples using miRNA in situ hybridization.
09:49
Non-enzymatic, Serum-free Tissue Culture of Pre-invasive Breast Lesions for Spontaneous Generation of Mammospheres
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2014
Primary cell culture using intact tissue organoids provides a model system that mimics the multi-cellular in vivo microenvironment. We developed a serum-free primary breast epithelium tissue culture model that perpetuates mixed cell culture lineages and exhibits differentiated morphology, without enzymatic tissue disruption. Breast organoids remain viable for >6 months.
FAQs
Microbial components can be detected by pattern-recognition receptors on epithelial and immune cells. Their activation may alter inflammatory signaling and create local responses that differ with tissue state or disease. This interaction gives investigators a mechanistic framework for studying how microbial signals might contribute to breast tissue health, inflammation, infection, or cancer-related biology.
Microbial metabolites provide another route through which microorganisms may affect breast tissue beyond direct contact with cells. By examining these products alongside microbial genetic material and inflammatory signaling, researchers can assess whether community activity is associated with local immune changes. This broader view helps connect microbial composition with functional effects rather than treating detection alone as evidence of disease.
Observed microbial profiles may vary with the tissue state, the disease under investigation, and the way samples are collected and analyzed. Consequently, a difference between groups does not automatically establish causation or identify a harmful organism. Researchers interpret composition together with immune or inflammatory measurements and procedural controls to separate biological variation from technical effects.
Culture-based assays can provide evidence from microorganisms that grow under the selected laboratory conditions, whereas sequencing can detect broader microbial genetic signatures. Investigators use these approaches together because each captures different information. Contamination controls are essential in parallel, helping determine whether a detected signal reflects tissue-associated material or exposure introduced during collection, handling, or analysis.
Controls help identify microbial material originating from the environment, instruments, reagents, or procedural handling rather than from the tissue itself. Comparing control results with breast tissue samples allows investigators to evaluate whether a signal is reproducible and biologically credible. This step is particularly important when interpreting low-level microbial detection and when distinguishing resident signals from contaminants.
The analysis can support studies of relationships among microbial imbalance, local inflammation, infection, and breast cancer biology. Researchers may compare microbial profiles with tissue state or immune-related findings to generate hypotheses about disease mechanisms. The resulting evidence may also inform future diagnostic or therapeutic research, although detection alone does not establish that microbiota caused a particular outcome.