Omental Fat Extraction
Omental Fat Extraction - Related Videos
03:41
Harvesting Peritoneal Fat Depots: A Technique to Study Ovarian Cancer Colonization of Peritoneal Adipose Tissues in Mouse Models
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2023
In this video, we use a euthanized female mouse model bearing ovarian cancer. We then describe a protocol to identify and extract fat depots or adipose tissues associated with the five primary peritoneal organs to study metastatic cancer cell colonization.
07:36
Intra-Omental Islet Transplantation Using h-Omental Matrix Islet filliNG (hOMING)
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Cited by 4 •
2019
Here, we present a protocol for in vivo validation of hydrogel-based cell therapy, illustrated by the example of islet transplantation. h-Omental Matrix Islet filliNG (hOMING) implantation allows implantation of a cell-hydrogel mixture between the omental layers, near to blood vessels, to maximize engraftment in a proper metabolic environment.
06:42
Extraction of Biomarkers from Sediments - Accelerated Solvent Extraction
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2023
Source: Laboratory of Jeff Salacup - University of Massachusetts Amherst The distribution of a group of organic biomarkers called glycerol-dialkyl glycerol-tetraethers (GDGTs), produced by a suite of archaea and bacteria, were found in modern sediments to change in a predictable manner in response to air or water temperature1,2. Therefore, the distribution of these biomarkers in a sequence of sediments of known age can be used to reconstruct the evolution of air and/or water temperature on...
09:25
Transplantation Into the Mouse Ovarian Fat Pad
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Cited by 7 •
2016
We describe an ovarian fad pad transplantation assay suitable for studies of normal and transformed epithelia of the female reproductive tract. The mouse fat pad allows transplantation of large tissue fragments, is easily accessible for surgery and imaging, and provides the most favorable native environment for tissues of Müllerian origin.
06:11
An Efficient Method to Obtain Dedifferentiated Fat Cells
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Cited by 4 •
2016
We have modified the conditions for DFAT cell generation and provide herein information regarding the use of an improved growth medium for the production of these cells.
FAQs
Different fractions of the omentum can represent different biological signals. Adipocytes contribute stored-fat and metabolic influences, stromal cells provide a supporting cellular compartment, and secreted factors include signaling molecules released into the surrounding environment. Separating these components allows investigators to examine which fraction alters cancer-cell behavior, rather than treating the tissue as a single uniform material.
Obesity-associated signals and inflammation can change how omental tissue communicates with nearby tumor cells. Adipokines, which are signaling factors associated with adipose tissue, may affect cancer-cell growth, invasion, metabolism, or response to treatment. Studying these interactions helps connect altered fat biology with tumor-microenvironment effects in cancer models and disease progression.
Such comparisons can distinguish tissue features associated with tumor presence from characteristics of omental fat itself. Researchers may examine differences in cellular components or secreted factors and then relate them to cancer-cell growth, invasion, metabolism, or treatment response. This design supports identification of mechanisms that accompany tumor progression and may highlight candidate biomarkers.
Examining secreted factors separately helps determine whether signals released by omental tissue are associated with specific cancer phenotypes. Researchers can relate these factors to changes in cancer-cell growth, invasion, metabolism, or treatment response without attributing every effect to the cellular fractions themselves. This separation clarifies the signaling contribution of adipose tissue to the tumor microenvironment.
After surgical excision, the omental tissue is transferred under controlled conditions and processed in the laboratory. Researchers can then separate adipocytes, stromal cells, and secreted factors for analysis or culture. This sequence provides access to both tissue-derived material and defined components, enabling experiments that connect sample composition with cancer-related effects.
Researchers use the approach when they need to test how disease-associated adipose signals influence cancer biology. Prepared samples can support investigations of tumor-cell growth, invasion, metabolism, and treatment response, while comparisons between healthy and cancer-bearing tissue can clarify context-dependent effects. The method therefore links tissue-level characteristics with measurable cellular outcomes.
Patterns found in cells or secreted factors that differ between healthy and cancer-bearing omental tissue may point to processes linked with tumor progression. Researchers can use those differences to identify potential biomarkers or therapeutic targets, while functional observations connect candidates to growth, invasion, metabolism, or treatment response. The approach combines molecular comparison with cancer-relevant outcomes.