Macrophage Isolation via RNA-Seq Surface Markers
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Solution Overview
Problem
Current methods for identifying and distinguishing between M1-like and M2-like macrophages are limited by the lack of specific surface markers and incomplete understanding of transcriptional regulation, which hampers the classification of macrophage polarization states and integration of environmental signals.
Innovation Solution
The use of RNA sequencing (RNA-seq) to identify and characterize M1-like and M2-like macrophages based on specific surface markers such as CD120b, TLR2, SLAMF7 for M1-like macrophages and CD1a, CD1b, CD93, CD226 for M2-like macrophages, enabling their isolation and differentiation through amplification, resequencing, hybridization, and binding molecule interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If microarray analysis is used for gene expression profiling, then transcript quantity and quality are limited, but RNA-seq provides increased dynamic range and improved detection
Solution Approach 1:
The patent replaces microarray technology with RNA sequencing (RNA-seq) technology. This substitution transitions from a hybridization-based mechanical system to a sequencing-based system, enabling high-resolution transcriptome analysis with increased dynamic range and improved detection of alternative splicing events and gene fusion transcripts.
Solution Approach 2:
The patent changes the detection parameters by using RNA-seq instead of microarray analysis. This parameter change enables the detection of low-abundance transcripts and provides a larger dynamic range, allowing for more precise measurement of gene expression levels in macrophage polarization studies.
2Quantity of substance
If RNA-seq is used to interrogate whole transcriptomes, then transcript quantity and quality increase, but detection complexity increases
Solution Approach 1:
The patent segments the complex RNA-seq analysis into specific focused assessments: (1) detection of alternative splicing events, (2) detection of gene fusion transcripts, and (3) quantification of known markers. This segmentation allows the research team to leverage the increased transcript quantity and quality while managing analysis complexity by concentrating on specific biological questions rather than comprehensive genome-wide analysis.
3Measurement precision
If specific surface markers are identified for M1-like and M2-like macrophages, then macrophage classification precision improves, but marker identification difficulty increases
Solution Approach 1:
The patent identifies cell surface markers that serve multiple functions: they are used for (1) flow cytometry-based phenotypic characterization to distinguish M1-like and M2-like macrophages, and (2) as targets for amplification and detection methods. This multi-functionality of the identified markers (CD120b, TLR2, SLAMF7 for M1-like; CD1a, CD1b, CD93, CD226 for M2-like) simplifies the overall process by using the same markers for both characterization and detection.
4Loss of information
If high-resolution transcriptome data are obtained, then understanding of macrophage polarization improves, but data analysis complexity increases
Solution Approach 1:
The patent extracts specific relevant information from the high-resolution transcriptome data, focusing on (1) differentially expressed genes between M1-like and M2-like macrophages, (2) alternative splicing events, and (3) gene fusion transcripts. This extraction approach allows the research team to obtain comprehensive transcriptome information while managing data analysis complexity by concentrating on specific biologically relevant findings rather than processing all available data.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides a high-resolution transcriptome analysis, uncovering novel markers and enhancing the understanding of macrophage polarization, with increased dynamic range and detection of differential gene expression, aiding in the identification of specific transcription factor combinations responsible for cellular programs.
Implementation Method 1
hybridizing one or more probes selective for one of the specific M1-associated cell surface marker nucleic acids CD120b, TLR2 and SLAMF7 (SEQ ID NOs: 1, 3 and 5), or for one of the specific M2-associated cell surface marker nucleic acids CD1a, CD1b, CD93 and CD226 (SEQ ID NOs: 7, 9, 11 and 13), respectively, of the macrophage
Implementation Method 2
the identifying of and distinguishing between the M1-like and M2-like macrophages is performed by an amplification or by a targeted resequencing of one or more of the specific M1-associated cell surface marker nucleic acids CD120b, TLR2 and SLAMF7 (SEQ ID NOs: 1, 3 and 5)
Implementation Method 3
the identifying of, distinguishing between and isolating of the M1-like and M2-like macrophages comprises contacting the macrophages with one or more binding molecules directed against the specific M1-associated cell surface marker proteins CD120b, TLR2 and SLAMF7 (SEQ ID NOs: 2, 4 and 6), or with one or more binding molecules directed against the specific M2-associated cell surface marker proteins
Data Source
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AI summary
The invention is based on the finding of specific surface markers for M1-like (classically activated) and M2-like (alternatively activated) macrophages and provides for a method for the identification, characterization and isolation of M1-like and M2-like macrophages based on the abundance of said surface markers and for means for performing such method.