Single Term Expression
Single Term Expression - Related Videos
07:59
Temporal Quantification of MAPK Induced Expression in Single Yeast Cells
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Cited by 6 •
2013
Two complementary methods based on flow cytometry and microscopy are presented which enable the quantification, at the single cell level, of the dynamics of gene expression induced by the activation of a MAPK pathway in yeast.
02:36
Single-Cell Analysis of Gene Expression from Plant-Extracted Pathogens
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2026
Source: Rufián, J. S., et al. Single-Cell Analysis of the Expression of Pseudomonas syringae Genes within the Plant Tissue. J. Vis. Exp. (2022).This video demonstrates a method for analyzing gene expression in plant-extracted pathogenic bacteria at the single-cell level using a fluorescently tagged transcription factor. Confocal imaging reveals heterogeneity in virulence gene expression, highlighting functional diversity within a clonal bacterial population.
10:50
Single-cell Gene Expression Profiling Using FACS and qPCR with Internal Standards
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Cited by 6 •
2017
We describe a method to sort single mammalian cells and to quantify the expression of up to 96 target genes of interest in each cell. This method includes the use of internal qPCR standards to enable the estimation of absolute transcript counts.
06:41
Isolation Method for Long-Term and Short-Term Hematopoietic Stem Cells
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2023
We present a step-by-step protocol for the isolation of long-term hematopoietic stem cells (LT-HSCs) and short-term HSCs (ST-HSCs) using the Hoxb5 reporter system.
07:35
Single-Cell Analysis of the Expression of Pseudomonas syringae Genes within the Plant Tissue
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Cited by 5 •
2022
The present protocol describes a method that allows single-cell gene expression analysis on Pseudomonas syringae populations grown within the plant apoplast.
FAQs
The coefficient supplies the numerical factor attached to the variable part, so it can be simplified separately from the powers. For example, numerical factors in an expression such as 5x²y determine its numerical contribution, while x²y records the variable structure. Distinguishing these parts helps organize symbolic calculations and makes later multiplication or factoring more systematic.
Degree summarizes the powers appearing in a single-term expression and provides a compact way to describe its algebraic structure. It helps organize monomials within larger polynomial expressions and supports discussion of polynomial behavior. Identifying degree is useful before factoring, expanding, or solving equations because it indicates how the term fits into a more complex calculation.
Multiplication combines the numerical factors and applies exponent rules to the variable factors. This keeps the result in a form that can be simplified rather than expanded into unnecessary separate terms. The procedure is especially useful when a monomial serves as a building block in polynomial expansion, where organized powers and coefficients make the resulting expression easier to interpret.
First replace each variable with its assigned value, then apply the indicated nonnegative integer powers and multiply by the numerical coefficient. For an expression such as 5x²y, the substituted values determine the numerical result. This process converts symbolic structure into a calculable quantity while preserving the roles of the coefficient and exponents.
Start by examining the numerical factors and combining them where possible, while retaining the variable factors and their exponents. This produces a more concise form without changing the expression's meaning. Such simplification is useful before multiplying terms, factoring a larger expression, or substituting values for evaluation.
They act as building blocks for polynomials, so operations on them support larger algebraic procedures. A monomial can participate in factoring and expansion, and its coefficient and degree help organize the resulting polynomial. The same structure also contributes to equation solving, making single-term analysis relevant from basic symbolic manipulation to more complex algebraic calculations.