GO:0002822 regulation of adaptive immune response based on somatic recombination of immune receptors built from immunoglobulin superfamily domains: Immune Receptor Diversification, Genes, Functions and Research Methods
Research-grade guide for scientists and biopharma professionals
Key Takeaways
• GO:0002822 describes the biological process that modulates the frequency, rate, or extent of adaptive immune responses that depend on somatic recombination of immunoglobulin superfamily immune receptors.
• This term is a regulation-of-process node: it does not describe the recombination machinery itself, but the upstream and downstream control of responses built on diversified immunoglobulin-domain receptors.
• The process is best studied in Gnathostomata, where B-cell and T-cell receptor repertoires are generated by V(D)J recombination and related somatic diversification events.
• Transcriptomic and immune-microenvironment studies show that regulation of these responses is tightly linked to tissue context, including maternal metabolic state and tumor immune remodeling.
• Key research methods include repertoire sequencing, single-cell RNA-seq, immune phenotyping, and CRISPR-based perturbation of candidate regulatory genes.
• EDITGENE provides knockout, point-mutation, knock-in, overexpression cell models and CRISPR library screening to dissect causal regulators of this process.
Description
GO:0002822, regulation of adaptive immune response based on somatic recombination of immune receptors built from immunoglobulin superfamily domains, is a Gene Ontology biological process term that captures how the body controls adaptive immunity when the receptors involved are generated by somatic recombination. In jawed vertebrates, this form of immunity depends on immunoglobulin superfamily receptors such as antibodies and T-cell receptors, whose diversity is created by somatic recombination rather than by germline-encoded variation alone. Because the receptor repertoire is generated somatically, the response must be regulated at multiple levels, from the initiation of recombination to the selection and expansion of receptor-bearing cells. The term matters because dysregulation of these responses underlies autoimmunity, immunodeficiency, vaccine failure, and tumor immune escape. Recent work has shown that the transcriptomic network of human first-trimester chorionic villi is sensitive to maternal body mass index, indicating that maternal metabolic context can shape immune-related gene expression programs in reproductive tissue. In parallel, studies of lung adenocarcinoma have identified AKT2 as a modifier of the tumor immune microenvironment, linking intracellular signaling to the regulation of adaptive immune responses. These findings illustrate why GO:0002822 is a useful framework for integrating molecular, cellular, and organism-level data. For researchers, GO:0002822 provides a precise annotation target when studying genes that modulate B-cell and T-cell responses rather than the recombination machinery per se. It also supports hypothesis-driven work on how metabolic, inflammatory, and oncogenic signals feed into the control of somatically diversified immune receptors. This article summarizes the definition, mechanism, key genes, disease links, and experimental methods relevant to GO:0002822.
regulation of adaptive immune response based on somatic recombination of immune receptors built from immunoglobulin superfamily domains At A Glance
| GO ID | GO:0002822 |
|---|---|
| GO term | regulation of adaptive immune response based on somatic recombination of immune receptors built from immunoglobulin superfamily domains |
| Ontology | biological_process |
| Synonym | None listed in QuickGO |
| Major function | Modulates the frequency, rate, or extent of adaptive immune responses that depend on somatically recombined immunoglobulin superfamily receptors |
| Taxonomic scope | Example process found in Gnathostomata |
| Process type | Regulation of an immune system process |
| Related receptor class | Immunoglobulin superfamily domains, including antibodies and T-cell receptors |
| Disease relevance | Autoimmunity, immunodeficiency, reproductive immune tolerance, and tumor immune microenvironment |
What Is GO:0002822?
In plain terms, GO:0002822 describes any process that adjusts how strongly, how often, or how extensively the body mounts an adaptive immune response that relies on immune receptors built from immunoglobulin superfamily domains and diversified by somatic recombination. It is a regulation term, so it covers upstream signals, checkpoints, and cellular interactions that tune the response, not the recombination reaction itself. The term is defined in the context of Gnathostomata, the jawed vertebrates in which this type of receptor diversification is well established.
Why Is regulation of adaptive immune response based on somatic recombination of immune receptors built from immunoglobulin superfamily domains Important in Cell Biology?
GO:0002822 is important because it provides a controlled vocabulary for the regulatory layer that determines whether a somatically diversified immune response is protective, excessive, or ineffective. Without this regulatory control, receptor diversification alone would not translate into useful immunity, and its misregulation is associated with immune-mediated pathology and failure of immune surveillance. The term therefore helps researchers connect molecular signals, such as metabolic and oncogenic pathways, to organism-level immune outcomes.
• Defines the regulatory control of adaptive immunity built on immunoglobulin superfamily receptors diversified by somatic recombination.
• Provides a framework for studying how maternal metabolic state influences immune-related transcriptomic networks in reproductive tissue.
• Links intracellular signaling, such as AKT2 activity, to remodeling of the tumor immune microenvironment.
• Supports research on autoimmunity and immunodeficiency where receptor repertoire regulation is disrupted.
• Helps interpret vaccine responses and immune memory in the context of somatically diversified receptors.
• Enables annotation of genes that modulate B-cell and T-cell responses rather than the recombination machinery itself.
• Guides CRISPR perturbation studies of candidate regulators in immune cells and model systems.
• Connects transcriptomic and immune phenotyping data to a defined Gene Ontology process.
• Facilitates cross-species comparison because the process is defined for Gnathostomata.
• Supports therapeutic hypothesis generation in immuno-oncology and reproductive immunology.
What Happens During regulation of adaptive immune response based on somatic recombination of immune receptors built from immunoglobulin superfamily domains?
Initiation and context sensing
In simple terms: The body first senses the context, such as metabolic or inflammatory signals, before tuning the immune response.
Regulation begins with context sensing, in which tissue and systemic signals influence the expression of immune-related genes. In human first-trimester chorionic villi, maternal body mass index is associated with changes in the transcriptomic network, indicating that maternal metabolic context can shape immune gene expression programs in reproductive tissue. This context sensing is an upstream layer of GO:0002822 because it sets the tone for subsequent adaptive responses based on somatically diversified receptors.
Receptor repertoire generation and selection
In simple terms: Immune cells generate diverse receptors by somatic recombination, and the body selects which cells to keep or expand.
The process depends on immune receptors built from immunoglobulin superfamily domains, whose diversity arises through somatic recombination. Regulation at this stage determines how the repertoire is sampled and which receptor-bearing cells are expanded or restrained. This step is central to GO:0002822 because it links the generation of receptor diversity to the control of the overall response.
Signal integration and checkpoint control
In simple terms: Multiple internal signals are integrated to decide whether the immune response should proceed or be dampened.
Intracellular signaling pathways integrate cues that modulate the adaptive response. In lung adenocarcinoma, AKT2 modifies the tumor immune microenvironment, showing that a single signaling node can influence the regulation of immune responses. Such integration points are candidate regulators within GO:0002822 because they adjust the frequency, rate, or extent of the response.
Effector and memory output
In simple terms: The regulated response ultimately produces effector cells and memory, which determine protection or pathology.
Once the response proceeds, effector and memory programs determine the outcome of the somatically diversified immune response. Regulation at this stage influences the magnitude and persistence of immunity, and its dysregulation can contribute to immune-mediated disease. This output layer is part of GO:0002822 because it reflects the extent of the adaptive response.
Feedback and resolution
In simple terms: After the response, feedback mechanisms shut it down or reset it to avoid damage.
Resolution and feedback are essential to prevent excessive or chronic activation of responses based on somatically recombined receptors. Transcriptomic studies of reproductive tissue highlight how environmental and metabolic factors can shift immune gene networks, which may affect feedback control. In tumors, signaling modifiers such as AKT2 can reshape the immune microenvironment, illustrating how feedback and resolution are intertwined with oncogenic pathways.
Key Genes Involved in GO:0002822 regulation of adaptive immune response based on somatic recombination of immune receptors built from immunoglobulin superfamily domains
The following genes and proteins are relevant to the regulation of adaptive immune responses based on somatically recombined immunoglobulin superfamily receptors, based on the verified literature and established immune biology.
| Gene | Major Role | Research Relevance |
|---|---|---|
| AKT2 | Modifies the tumor immune microenvironment | Candidate regulator linking intracellular signaling to adaptive immune response control |
| IGH | Encodes immunoglobulin heavy chains built from immunoglobulin superfamily domains | Repertoire sequencing and B-cell response studies |
| IGK | Encodes immunoglobulin kappa light chains | Receptor diversification and B-cell studies |
| IGL | Encodes immunoglobulin lambda light chains | Receptor diversification and B-cell studies |
| TRB | Encodes T-cell receptor beta chains | T-cell repertoire and adaptive immunity studies |
| TRA | Encodes T-cell receptor alpha chains | T-cell repertoire and adaptive immunity studies |
| RAG1 | Required for V(D)J recombination of immunoglobulin superfamily receptors | Core recombination machinery for repertoire generation |
| RAG2 | Required for V(D)J recombination of immunoglobulin superfamily receptors | Core recombination machinery for repertoire generation |
| DNTT | Adds junctional diversity during receptor recombination | Repertoire diversity studies |
| PRDM1 | Regulates plasma cell differentiation | Effector B-cell regulation studies |
| PAX5 | Maintains B-cell identity | B-cell lineage regulation studies |
| FOXP3 | Supports regulatory T-cell function | Immune tolerance and regulation studies |
| IL2RA | Mediates interleukin-2 signaling in T cells | T-cell activation and regulation studies |
| CD28 | Provides co-stimulation for T-cell activation | Checkpoint and co-stimulation studies |
| CTLA4 | Inhibits T-cell activation | Immune checkpoint regulation studies |
| PDCD1 | Encodes PD-1, an inhibitory receptor | Tumor immune microenvironment studies |
| CD274 | Encodes PD-L1, a ligand for PD-1 | Tumor immune evasion studies |
How Is regulation of adaptive immune response based on somatic recombination of immune receptors built from immunoglobulin superfamily domains Regulated?
Regulation of GO:0002822 occurs through multiple layers, including metabolic context, intracellular signaling, and checkpoint pathways. Maternal body mass index is associated with transcriptomic network changes in human first-trimester chorionic villi, indicating that maternal metabolic state can influence immune-related gene expression. In lung adenocarcinoma, AKT2 modifies the tumor immune microenvironment, showing that oncogenic signaling can adjust the regulation of adaptive immune responses. These examples illustrate that the process is not autonomous but is tuned by systemic and tissue-specific signals.
regulation of adaptive immune response based on somatic recombination of immune receptors built from immunoglobulin superfamily domains and Human Disease
| Gene | Disease / Biology | Potential Experimental Model |
|---|---|---|
| AKT2 | Lung adenocarcinoma tumor immune microenvironment | AKT2 knockout and overexpression in lung cancer cell lines and immune co-culture |
| IGH | B-cell repertoire dysregulation | Repertoire sequencing in B-cell models |
| TRB | T-cell repertoire dysregulation | T-cell receptor sequencing in primary T cells |
| FOXP3 | Immune tolerance disorders | Regulatory T-cell knockout and knock-in models |
| PDCD1 | Tumor immune evasion | PD-1 knockout and overexpression in T cells |
Reproductive immune tolerance and maternal metabolic state
The transcriptomic network of human first-trimester chorionic villi is affected by maternal body mass index, suggesting that maternal metabolic context can alter immune-related gene expression at the maternal-fetal interface. Because this interface is a site of active immune regulation, these findings link GO:0002822 to reproductive immune tolerance and its disturbances.
Lung adenocarcinoma and the tumor immune microenvironment
AKT2 has been identified as a modifier of the tumor immune microenvironment in lung adenocarcinoma, connecting intracellular signaling to the regulation of adaptive immune responses. This supports the view that GO:0002822 is relevant to immuno-oncology and to understanding why some tumors evade immune control.
Autoimmunity and immunodeficiency
Because GO:0002822 controls the extent of responses based on somatically recombined receptors, its dysregulation is conceptually linked to autoimmunity and immunodeficiency. Research on repertoire regulation and checkpoint molecules provides a framework for studying these conditions.
From regulation of adaptive immune response based on somatic recombination of immune receptors built from immunoglobulin superfamily domains-Related Genes to Experimental Models
| Research Question | Suitable Model |
|---|---|
| Is a candidate gene required for regulation of somatically diversified immune responses? | Knockout cell model |
| Does a specific point mutation alter regulatory function? | Point-mutation knock-in cell model |
| Does a disease-associated variant change immune regulation? | Knock-in of the variant allele |
| Where and when is the protein expressed in immune cells? | Tagged knock-in with a fluorescent or epitope tag |
| Does increased dosage of a regulator enhance or suppress the response? | Overexpression cell model |
| Which genes modify the tumor immune microenvironment? | CRISPR library screening in tumor-immune co-culture |
How to Study the regulation of adaptive immune response based on somatic recombination of immune receptors built from immunoglobulin superfamily domains Process
| Method | What It Measures | Typical Application |
|---|---|---|
| RNA-seq | Transcriptome-wide gene expression | Identifying immune-related networks affected by context |
| Repertoire sequencing | Diversity of immunoglobulin and T-cell receptors | Assessing somatically recombined receptor repertoires |
| Flow cytometry | Immune cell phenotypes and activation states | Functional immune phenotyping |
| Co-culture assays | Immune cell effector activity | Testing tumor-immune interactions |
| CRISPR knockout | Loss-of-function effects | Testing requirement of candidate regulators |
| CRISPR knock-in | Effects of specific variants or tags | Modeling disease variants and tracking proteins |
| CRISPR library screening | Pooled gene function | Discovering modifiers of the immune microenvironment |
Transcriptomic profiling of immune-related networks
RNA-seq and transcriptomic network analysis can reveal how context, such as maternal body mass index, alters immune gene expression programs relevant to GO:0002822. These methods help identify candidate regulators and pathways for follow-up perturbation.
Repertoire sequencing
Sequencing of immunoglobulin and T-cell receptor repertoires measures the diversity and composition of somatically recombined receptors, providing a direct readout of the response layer that GO:0002822 regulates.
Immune phenotyping and co-culture
Flow cytometry and co-culture assays assess activation, differentiation, and effector function of immune cells, linking molecular perturbations to functional changes in the regulated response.
CRISPR perturbation and screening
CRISPR knockout, point-mutation, knock-in, and overexpression models allow causal testing of candidate regulators of GO:0002822, while library screening can identify modifiers of the tumor immune microenvironment.
How CRISPR Can Be Used to Study GO:0002822 regulation of adaptive immune response based on somatic recombination of immune receptors built from immunoglobulin superfamily domains
Knockout
CRISPR knockout cell models can test whether a candidate gene is required for the regulation of adaptive immune responses based on somatically recombined receptors. Loss-of-function phenotypes in immune cells help distinguish causal regulators from bystanders.
Point Mutation
Point-mutation models introduce specific amino acid changes to test how individual residues affect regulatory function. These models are useful when a disease-associated variant is suspected to alter the control of immune responses.
Knock-in
Knock-in models can introduce disease variants, reporter tags, or epitope tags at endogenous loci to study expression and function in a physiological context. Tagged knock-in lines enable tracking of regulatory proteins in immune cells.
Overexpression
Overexpression cell models test whether increased dosage of a regulator enhances or suppresses the adaptive immune response. They complement knockout studies by revealing gain-of-function effects relevant to GO:0002822.
How EDITGENE Supports regulation of adaptive immune response based on somatic recombination of immune receptors built from immunoglobulin superfamily domains Research
Researchers studying regulation of adaptive immune response based on somatic recombination of immune receptors built from immunoglobulin superfamily domains-related genes often need to determine whether a candidate gene is causally involved in tuning immune responses or is merely correlated with them. This requires precise, reproducible cell models that can isolate loss-of-function, gain-of-function, and variant-specific effects in relevant immune and tissue contexts.
Contact EDITGENE today to design your custom CRISPR model for regulation of adaptive immune response based on somatic recombination of immune receptors built from immunoglobulin superfamily domains research.
Frequently Asked Questions About regulation of adaptive immune response based on somatic recombination of immune receptors built from immunoglobulin superfamily domains
What is GO:0002822?
GO:0002822 is the Gene Ontology biological process term for regulation of adaptive immune response based on somatic recombination of immune receptors built from immunoglobulin superfamily domains.
What does regulation of adaptive immune response based on somatic recombination mean?
It means any process that adjusts the frequency, rate, or extent of adaptive immunity that depends on immune receptors diversified by somatic recombination.
What genes are involved in regulation of adaptive immune response based on somatic recombination?
Relevant genes include immunoglobulin and T-cell receptor genes, RAG1, RAG2, DNTT, and signaling or checkpoint genes such as AKT2, CTLA4, and PDCD1.
Which organisms does GO:0002822 apply to?
The process is exemplified in Gnathostomata, the jawed vertebrates.
How is GO:0002822 studied experimentally?
It is studied with transcriptomic profiling, repertoire sequencing, immune phenotyping, and CRISPR perturbation models.
Why is GO:0002822 important in cancer?
AKT2 has been shown to modify the tumor immune microenvironment in lung adenocarcinoma, linking this regulatory process to immuno-oncology.
Does maternal metabolic state affect this process?
Maternal body mass index is associated with transcriptomic network changes in human first-trimester chorionic villi, indicating a link to immune-related gene expression.
What is the difference between GO:0002822 and the recombination machinery?
GO:0002822 describes regulation of the response, not the recombination reaction itself, although the response depends on somatically recombined receptors.
Can CRISPR be used to study GO:0002822?
Yes, CRISPR knockout, point-mutation, knock-in, overexpression, and library screening can test causal regulators of this process.
What services does EDITGENE offer for GO:0002822 research?
EDITGENE offers knockout, point-mutation, knock-in, overexpression cell models, CRISPR library screening, and bioinformatics support.
Conclusion
GO:0002822 defines the regulatory layer that controls adaptive immune responses built on somatically recombined immunoglobulin superfamily receptors. Its relevance spans reproductive immunology, immuno-oncology, autoimmunity, and immunodeficiency, as shown by transcriptomic and tumor microenvironment studies. Researchers can dissect this process with repertoire sequencing, immune phenotyping, and CRISPR-based perturbation, and EDITGENE provides the cell models and screening services needed to test causal hypotheses.
References
- 1. Dong L et al.. 2023. Effect of Maternal Body Mass Index on the Transcriptomic Network of Human First-Trimester Chorionic Villi.. Reprod Sci 30(4):1324-1334 PMID: 36241952
- 2. Fu Z et al.. 2026. AKT2 for Modifying the Tumor Immune Microenvironment in Lung Adenocarcinoma.. Clin Lab 72(4) PMID: 41979632
