Dual Lipid Rna Extraction
Dual Lipid Rna Extraction - Related Videos
07:24
Sonication Extraction of Lipid Biomarkers from Sediment
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2023
Source: Laboratory of Jeff Salacup - University of Massachusetts Amherst The material comprising the living "organic" share of any ecosystem (leaves, fungi, bark, tissue; Figure 1) differs fundamentally from the material of the non-living "inorganic" share (rocks and their constituent minerals, oxygen, water, metals). Organic material contains carbon linked to a series of other carbon and hydrogen molecules (Figure 2), which distinguishes it from inorganic material. Carbon's wide valency range...
08:04
Soxhlet Extraction of Lipid Biomarkers from Sediment
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2023
Source: Laboratory of Jeff Salacup - University of Massachusetts Amherst Every lab needs standards that track the performance, accuracy, and precision of its instruments over time to ensure a measurement made today is the same as a measurement made a year from now (Figure 1). Because standards must test the performance of instruments over a long period of time, large volumes of the standards are often required. Many chemical standards can be purchased from retail scientific companies, like...
05:38
RNA Extraction Assay: A Method to Extract RNA from miRNA Transfected Lung Cancer Cells
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2023
This video describes the RNA extraction protocol from miRNA transfected lung cancer cells. This approach can be used to identify a combinatorial miRNA treatment activity in halting the cell cycle and angiogenesis.
09:18
Purification of a Total Lipid Extract with Column Chromatography
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2023
Source: Laboratory of Jeff Salacup - University of Massachusetts Amherst The product of an organic solvent extraction, a total lipid extract (TLE), is often a complex mixture of hundreds, if not thousands, of different compounds. The researcher is often only interested in a handful of compounds. The compounds of interest may belong to one of several classes of compounds, such as alkanes, ketones, alcohols, or acids (Figure 1), and it may be useful to remove the compound classes to which it does...
17:25
RNA Extraction from Neuroprecursor Cells Using the Bio-Rad Total RNA Kit
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Cited by 1 •
2007
FAQs
The workflow uses chemical lysis to disrupt the specimen and phase separation to sort molecules according to their chemical properties. Hydrophobic lipids partition into an organic phase, whereas RNA remains in an aqueous phase. This physical separation creates distinct fractions that can undergo different downstream recovery procedures without requiring separate tissue samples.
The key distinction is molecular behavior in the separation system. Lipids are hydrophobic, so they preferentially associate with the organic phase, while RNA remains associated with the aqueous phase. Maintaining this partitioning is essential because it allows each fraction to be recovered for its intended analysis and supports complementary molecular measurements from one specimen.
Parallel measurements preserve the connection between molecular composition and transcriptional response within the same biological material. Lipidomic data can describe changes in membranes or lipid metabolism, while RNA analysis reflects gene-expression changes. Examining both readouts together may reveal relationships that would be harder to interpret when the molecular measurements come from separate tissue samples.
Neural tissue can be examined through both its lipid composition and its gene-expression profile. This combination supports studies of brain membranes, lipid metabolism, and neurodegenerative disease mechanisms. The paired molecular view can also improve profiling of neural specimens by connecting biochemical changes with transcriptional responses relevant to disease biology and biomarker discovery.
A typical workflow begins with chemical lysis, followed by phase separation into organic and aqueous fractions. The lipid-containing organic fraction and the RNA-containing aqueous fraction are then recovered separately. RNA from the aqueous phase may undergo precipitation or column-based purification, while the separated fractions proceed toward complementary lipid and RNA analyses.
This approach is especially useful when tissue is limited and researchers need coordinated lipidomic and transcriptomic information. It supports integrated investigations of neural membranes, lipid metabolism, gene expression, and neurodegenerative disease mechanisms. The resulting paired measurements can help identify molecular relationships and support searches for biomarkers while conserving valuable biological material.