Macrophages are able to coordinate immune responses to inflammatory conditions, tumors and degenerative disorders. Although major polarization regulatory elements have been identified, macrophages in vivo may present more complex transcriptional signatures. Gene regulatory networks provide a powerful framework for studying macrophage polarization comprehensively. It's a good source for the discovery of key regulators for macrophage reprogramming. Combining deep, industry-leading expertise with an innovative macrophage therapeutics development platform, Creative Biolabs has constructed a logical model of gene regulatory networks to understand how they affect macrophage polarization, and we offer high-quality macrophage reprogramming services.
Computational models of gene regulatory networks are good approaches to study how cells integrate several signals driving the cell phenotypic changes, especially for their ability to quantitatively and qualitatively describe a great variety of poorly characterized biological situations. In recent years, gene regulatory networks are of particular interest in macrophages.
Fig.1 Macrophage reprogramming as a potential target between tumor associated macrophages (TAMs) and CD8-positive (CD8+) T cells.1,2
To obtain a broader overview of the gene regulatory networks that drive macrophage polarization and the heterogeneous single-cell subpopulations in the process, bulk RNA-seq/single-cell RNA-seq and ATAC-seq assays are usually performed to obtain a comprehensive macrophage transcription profile. Our seasoned scientists integrate all the data to construct a logical network model for the gene regulation driving macrophage polarization to the M1, M2a, M2b, and M2c phenotypes.
Services | Description |
---|---|
Therapeutic targeting | By identifying central regulators, gene regulatory networks enable the development of targeted approaches to reprogram macrophages. For example, manipulating key transcription factors can potentially convert immunosuppressive M2-like macrophages into pro-inflammatory M1-like cells. |
Predictive modeling | Gene regulatory networks allow for in silico modeling of macrophage behavior, helping predict the outcomes of various interventions and guiding experimental design for reprogramming strategies |
Single-cell analysis | Advanced gene regulatory network inference methods, such as single-cell RNA-seq and ATAC-seq assays, enable the study of cell type-specific regulatory networks, providing deeper insights into macrophage heterogeneity and plasticity during polarization. |
With an experienced team of in-house macrophage reprogramming experts, Creative Biolabs is proud to share our experience in developing highly customizable solutions for our customers. For more detailed information, please feel free to contact us and further discuss with our scientists.
Macrophages play a critical role in the immune system, and their functions and phenotypes can be reprogrammed through gene regulatory networks that enable the modulation of pro- or anti-inflammatory responses. In the laboratory, synthetic biology methods are widely used to quantitatively study gene regulatory networks. For example, by constructing synthetic gene circuits, it is possible to precisely control the expression of target genes and explore the impact of transcriptional memory phenomena on macrophage function.
To support related research, we offer the following scientific products to help researchers realize gene editing, phenotyping and functional validation of macrophages.
Cat.No | Product Name | Product Type |
---|---|---|
MTS-0922-JF10 | Human Macrophages, Alveolar | Human Macrophages |
MTS-0922-JF99 | Human M0 Macrophages, 1.5 x 10^6 | Human M0 Macrophages |
MTS-0922-JF52 | C57/129 Mouse Macrophages, Bone Marrow | C57/129 Mouse Macrophages |
MTS-0922-JF7 | Human M2 Macrophages, Peripheral Blood, 10 x 10^6 | Human M2 Macrophages |
MTS-0922-JF34 | CD1 Mouse Macrophages | CD1 Mouse Macrophages |
MTS-0922-JF49 | C57BL/6 Mouse Macrophages (with LAB knockout), Bone Marrow | C57BL/6 Mouse Macrophages |
MTS-0922-JF43 | FVBN Mouse Macrophages, Bone Marrow | FVBN Mouse Macrophages |
MTS-0922-JF37 | BALBC Mouse Macrophages, Bone Marrow | BALBC Mouse Macrophages |
MTS-0922-JF33 | Balb/C Mouse Macrophages, Peripheral Blood,>5 x 10^6 | Balb/C Mouse Macrophages |
MTS-0922-JF11 | Cynomolgus Monkey Macrophages, Bone Marrow | Cynomolgus Monkey Macrophages |
Franziska Hörhold et al. investigated the gene regulation of metabolism in order to better understand the processes that regulate M1/M2 polarization and identified essential regulators in M2-like macrophages, providing a possible starting point for transforming M2-like macrophages into M1-like macrophages.
Fig. 2 The impact of the predicted regulators on metabolic and M1/M2 associated genes was investigated on a large scale by profiling the transcriptome of iM1 macrophages (reprogrammed M2-like macrophages).2,3
Quantitative gene expression and cytokine secretion analyses indicate that in vitro repolarization of M2-like macrophages to the iM1 phenotype is efficiently but incompletely achieved by knocking down the expression of the predicted regulators E2f1, Myc, Pparγ, and Stat6. Combined expression knockdown of these regulators reprogrammed more genes in the M1-like direction than single expression knockdown, suggesting a cumulative effect of these transcription factors on the regulation of M2-like to M1-like polarization.
Q: What is the success rate of macrophage reprogramming using gene regulatory networks?
A: We have made significant progress in macrophage reprogramming with our gene regulatory network technology. By optimizing transcription factor combinations and regulatory logic, we have achieved industry-leading success rates. Specifically, we utilize the dynamic regulation of transcription and the development of a cell transplantation system that induces reprogramming to improve reprogramming efficiency.
Q: Is the function of reprogrammed macrophages stable?
A: We attach great importance to the functional stability of reprogrammed macrophages. Our tracking studies show that reprogrammed macrophages maintain good functional and phenotypic stability.
Q: What are the advantages of your technology over traditional methods?
A: Our technology offers several significant advantages.
Q: How do you ensure quality control during reprogramming?
A: Quality control is one of our main concerns. We utilize multiple levels of quality control measures.
These measures ensure that we can provide high-quality, functionally stable reprogrammed macrophages.
References
Copyright © 2025 Creative Biolabs. All Rights Reserved.