GO:0071347 cellular response to interleukin-1: Signaling Pathway, Genes, Functions and Research Methods
Research-grade guide for scientists and biopharma professionals
Key Takeaways
• GO:0071347 (cellular response to interleukin-1) describes any change in a cell's state or activity caused by an interleukin-1 stimulus, including altered gene expression, secretion and enzyme production.
• Interleukin-1 (IL-1) is a master pro-inflammatory cytokine whose cellular response shapes innate and adaptive immunity, hematopoiesis and tissue remodeling.
• The response is cell-type specific: neutrophils, hepatocytes, gingival fibroblasts and leukemia cells each mount distinct IL-1-driven programs.
• IL-1 signaling intersects with follicular helper and regulatory T cell biology, linking GO:0071347 to humoral immunity.
• CRISPR-Cas9/AAV6 editing itself can trigger senescence and inflammation, making IL-1 response genes important safety readouts in edited cells.
• Studying GO:0071347 requires integrated models: knockout, point-mutation, knock-in and overexpression cell lines combined with transcriptomics and proteomics.
Description
GO:0071347, cellular response to interleukin-1, is a Gene Ontology biological process that captures every molecular and cellular change triggered when a cell encounters interleukin-1 (IL-1). IL-1 was among the first cytokines described, and its cellular actions span immune activation, acute-phase protein synthesis, neutrophil survival and tissue remodeling. Because the response is context dependent, the same IL-1 stimulus can drive proliferation in one cell type and differentiation or death in another. For researchers, GO:0071347 provides a standardized framework to annotate and compare IL-1-driven programs across cell types and species. Experimental studies show that IL-1 induces major shifts in newly synthesized proteins in hepatoma cells, modulates neutrophil activation and survival, and alters fibroblast metabolism. These findings make the term a practical entry point for inflammation, immunity and gene-editing safety research. This article summarizes the authoritative QuickGO definition, the cellular events that constitute the response, the genes and proteins involved, and the CRISPR-based methods used to dissect it. All statements are grounded in the verified literature cited by number.
cellular response to interleukin-1 At A Glance
| GO ID | GO:0071347 |
|---|---|
| GO term | cellular response to interleukin-1 |
| Ontology | biological_process |
| Synonym | cellular response to IL-1 |
| Definition | Any process that results in a change in state or activity of a cell (in terms of movement, secretion, enzyme production, gene expression, etc.) as a result of an interleukin-1 stimulus. |
| Major function | Mediates cellular adaptation to IL-1 family cytokines, including inflammatory gene expression, cytokine secretion and survival signaling. |
| Stimulus | Interleukin-1 family cytokines such as IL-1 beta. |
| Representative cell types | Neutrophils, hepatocytes, gingival fibroblasts, leukemia cell lines and T cell subsets. |
| Related disease areas | Inflammation, autoimmunity, cancer and gene-editing-associated adverse responses. |
What Is GO:0071347?
According to QuickGO, GO:0071347 (cellular response to interleukin-1) is defined as any process that results in a change in state or activity of a cell (in terms of movement, secretion, enzyme production, gene expression, etc.) as a result of an interleukin-1 stimulus. Its synonym is cellular response to IL-1, and it belongs to the biological_process aspect of the Gene Ontology. In practice, this means the term covers the full chain from IL-1 receptor engagement through intracellular signaling to measurable cellular outputs such as cytokine secretion, enzyme induction and transcriptional reprogramming.
Why Is cellular response to interleukin-1 Important in Cell Biology?
GO:0071347 matters because IL-1 is a central amplifier of inflammation, and the cellular response to IL-1 determines whether a tissue mounts a protective immune reaction or sustains pathological damage. The same process influences adaptive immunity through follicular helper and regulatory T cells, affects neutrophil lifespan, and reprograms hepatocyte protein synthesis. In the CRISPR era, IL-1-driven inflammation and senescence have been identified as unintended consequences of gene editing in hematopoietic stem cells, making this GO term directly relevant to therapeutic safety.
• Defines a core innate immune signaling axis that converts extracellular IL-1 into transcriptional and secretory outputs.
• Controls neutrophil activation and survival, linking the term to host defense and tissue injury.
• Shapes T follicular helper and regulatory T cell responses, thereby influencing antibody production and immune tolerance.
• Drives acute-phase and secretory programs in hepatocytes and other epithelial or stromal cells.
• Modulates fibroblast growth and metabolism, with implications for wound healing and biomaterial compatibility.
• Is implicated in leukemia cell cytokine secretion, connecting the term to hematologic malignancy biology.
• Represents a safety readout for CRISPR-Cas9/AAV6 editing, where senescence and inflammation can arise.
• Provides a testable framework for cytokine adjuvanticity studies in vaccine and immunotherapy research.
What Happens During cellular response to interleukin-1?
IL-1 recognition and early cellular activation
In simple terms: The cell first senses IL-1 and switches on an alarm program.
The cellular response to interleukin-1 begins when a cell encounters IL-1 family cytokines, which act as potent inflammatory mediators. This recognition step converts an extracellular cytokine signal into intracellular changes that can include altered movement, secretion and enzyme production, as captured by the GO:0071347 definition. Neutrophils, for example, respond to IL-1 beta with direct activation and modulation of survival pathways, demonstrating that the earliest phase of the response is cell-type specific.
Transcriptional and secretory reprogramming
In simple terms: The cell changes which proteins it makes and releases.
A hallmark of GO:0071347 is a shift in gene expression and secretion. In human hepatoma HepG2 cells, IL-1 and IL-6 induce the synthesis of major cellular proteins, showing that the response includes broad translational and secretory remodeling. Leukemia cell lines can secrete IL-1 beta in response to stimuli such as lipopolysaccharide and mezerein, illustrating that the cellular response can include cytokine output as well as cytokine reception.
Survival, proliferation and metabolic effects
In simple terms: IL-1 can change whether a cell lives, grows or alters its metabolism.
Beyond transcription, the cellular response to interleukin-1 affects cell survival and metabolism. IL-1 beta regulates neutrophil activation and survival, directly influencing how long these short-lived immune cells persist. In gingival fibroblasts, IL-1 exposure alters growth and metabolism, indicating that the response extends to non-immune stromal cells and can be modulated by external agents.
Integration with adaptive immunity
In simple terms: IL-1 signals also help shape antibody responses.
The cellular response to interleukin-1 is not limited to innate immunity. IL-1 influences the response of follicular helper and follicular regulatory T cells, two subsets that balance antibody production and tolerance. This places GO:0071347 at the interface of innate sensing and adaptive humoral immunity, and helps explain why IL-1 family cytokines are studied as vaccine adjuvants.
Stress, senescence and editing-associated inflammation
In simple terms: IL-1 responses can also appear when cells are stressed by gene editing.
Recent work shows that CRISPR-Cas9/AAV6-mediated gene editing in hematopoietic stem cells can cause senescence and inflammation as unintended adverse consequences. Because IL-1 is a canonical inflammatory cytokine, the cellular response to interleukin-1 is a relevant framework for interpreting these stress responses and for designing safer editing protocols.
Key Genes Involved in GO:0071347 cellular response to interleukin-1
The genes and proteins below are representative participants or readouts of the cellular response to interleukin-1, based on the verified literature.
| Gene | Major Role | Research Relevance |
|---|---|---|
| IL1B | Encodes IL-1 beta, a primary cytokine stimulus for GO:0071347 | Used to stimulate cells and measure downstream inflammatory programs |
| IL1A | Encodes IL-1 alpha, an IL-1 family cytokine | Studied alongside IL1B in IL-1 family cytokine biology |
| IL1R1 | Receptor for IL-1 signaling | Central to initiating the cellular response to IL-1 |
| IL1RN | Encodes IL-1 receptor antagonist | Used to block IL-1 signaling in functional experiments |
| IL6 | Cytokine often co-induced with IL-1 responses | Marker of overlapping inflammatory programs in hepatoma cells |
| CXCL8 | Neutrophil-recruiting chemokine | Readout of IL-1-driven neutrophil activation |
| TNF | Pro-inflammatory cytokine | Context marker in IL-1-associated inflammation |
| NFKB1 | Transcription factor mediating inflammatory gene expression | Downstream effector of IL-1 signaling |
| NFKB2 | NF-kB family transcription factor | Candidate mediator of IL-1-induced transcription |
| RELA | NF-kB subunit | Commonly assessed in IL-1-stimulated cells |
| MAPK1 | Kinase in inflammatory signaling | Potential node in IL-1 signal transduction |
| MAPK3 | Kinase in inflammatory signaling | Potential node in IL-1 signal transduction |
| JUN | AP-1 transcription factor component | Associated with IL-1-induced gene expression |
| FOS | AP-1 transcription factor component | Associated with IL-1-induced gene expression |
| STAT3 | Transcription factor in cytokine signaling | Relevant to IL-1/IL-6 crosstalk in hepatoma cells |
| BCL2L1 | Survival regulator | Candidate mediator of IL-1 effects on neutrophil survival |
| FOXP3 | Regulatory T cell transcription factor | Linked to follicular regulatory T cell responses influenced by IL-1 |
| BCL6 | Follicular helper T cell transcription factor | Linked to IL-1 effects on follicular helper T cells |
How Is cellular response to interleukin-1 Regulated?
The cellular response to interleukin-1 is regulated at multiple levels. Extracellularly, IL-1 receptor antagonist (IL1RN) and soluble receptors can dampen IL-1 signaling, and IL-1 family cytokines are studied as adjuvants that tune the strength of immune activation. Intracellularly, the response converges on transcription factors such as NF-kB and AP-1 family members, which control inflammatory gene expression. Cell-type context further shapes regulation: neutrophils balance activation and survival after IL-1 beta exposure, hepatoma cells integrate IL-1 with IL-6 signals, and fibroblasts adjust growth and metabolism in response to IL-1. In gene-editing settings, cellular stress pathways linked to senescence can also modulate inflammatory outputs, including IL-1-associated signals.
cellular response to interleukin-1 and Human Disease
| Gene | Disease / Biology | Potential Experimental Model |
|---|---|---|
| IL1B | Inflammation and cytokine-driven pathology | IL1B knockout and point-mutation cell lines with IL-1 stimulation |
| IL1RN | IL-1 signaling imbalance | IL1RN overexpression to block IL-1 responses |
| IL6 | Acute-phase and inflammatory crosstalk | IL6/IL1B double-knockout hepatoma cells |
| FOXP3 | Autoimmunity and tolerance | FOXP3 reporter knock-in T cell models |
| BCL6 | Humoral immunity dysregulation | BCL6 knockout follicular helper T cell models |
Inflammation and autoimmunity
Because IL-1 is a master pro-inflammatory cytokine, dysregulated cellular responses to interleukin-1 contribute to chronic inflammation and autoimmune pathology. IL-1 influences follicular helper and regulatory T cells, which balance antibody responses and tolerance, so altered IL-1 responses can skew humoral immunity. Therapies and experimental tools that block IL-1 signaling are therefore used to probe these disease mechanisms.
Cancer and leukemia biology
Leukemia cell lines can secrete IL-1 beta in response to external stimuli, linking the cellular response to interleukin-1 to hematologic malignancy biology. In solid and stromal contexts, IL-1-driven programs can alter fibroblast growth and metabolism, which may affect tumor microenvironment remodeling. These observations make GO:0071347 relevant to studies of cytokine-driven tumor promotion and immune evasion.
Gene editing safety and regenerative medicine
CRISPR-Cas9/AAV6-mediated gene editing in hematopoietic stem cells can induce senescence and inflammation as unintended adverse consequences. Since IL-1 is a key inflammatory mediator, the cellular response to interleukin-1 provides a framework for monitoring and mitigating editing-associated stress. This has direct implications for ex vivo gene therapy and stem cell manufacturing.
Host defense and tissue injury
IL-1 beta regulates neutrophil activation and survival, which is essential for host defense but can also amplify tissue injury when unchecked. In hepatocytes, IL-1 and IL-6 induce major protein synthesis programs that underlie acute-phase responses. Together, these findings connect GO:0071347 to infection, sterile injury and systemic inflammatory states.
From cellular response to interleukin-1-Related Genes to Experimental Models
| Research Question | Suitable Model |
|---|---|
| Is a candidate gene required for IL-1-induced transcription? | CRISPR knockout cell line plus IL-1 stimulation and RNA-seq |
| Does a disease-associated variant alter IL-1 responsiveness? | Point-mutation knock-in of the variant followed by cytokine assays |
| Where is an IL-1 pathway protein localized after stimulation? | Endogenous tagged knock-in with imaging |
| Does overexpression of an IL-1 regulator suppress inflammation? | Doxycycline-inducible overexpression cell line |
| Which genes mediate neutrophil survival after IL-1 beta? | Knockout neutrophils or neutrophil-like cell lines |
| Can editing-associated inflammation be reduced? | CRISPR-edited hematopoietic stem cells with senescence and IL-1 readouts |
How to Study the cellular response to interleukin-1 Process
| Method | What It Measures | Typical Application |
|---|---|---|
| RNA-seq | Global transcriptional changes after IL-1 stimulation | Defining the gene expression program of GO:0071347 |
| Proteomics | Protein synthesis and abundance changes | Identifying major proteins induced by IL-1 |
| Secretome assay | Cytokines and factors released by cells | Measuring IL-1 beta secretion from leukemia cells |
| Neutrophil survival assay | Activation and lifespan of neutrophils | Testing IL-1 beta effects on innate immune cells |
| T cell differentiation assay | Follicular helper and regulatory T cell subsets | Linking IL-1 to humoral immunity |
| Adjuvant assay | Immune amplification by IL-1 family cytokines | Vaccine and immunotherapy research |
| Senescence and inflammation panel | Editing-associated stress responses | Safety assessment of CRISPR-edited stem cells |
| Fibroblast growth assay | Proliferation and metabolism | Testing IL-1 effects on stromal cells |
Transcriptomic profiling of IL-1 responses
RNA-seq before and after IL-1 stimulation is a standard approach to define the gene expression changes that constitute GO:0071347. In hepatoma cells, IL-1 and IL-6 induce major changes in synthesized proteins, and transcriptomics helps identify which of these are transcriptionally regulated. Comparing wild-type and CRISPR knockout cells reveals which genes are required for the response.
Proteomics and secretome analysis
Because the cellular response to interleukin-1 includes secretion and enzyme production, proteomic and secretome methods complement transcriptomics. Leukemia cell lines that secrete IL-1 beta in response to stimuli can be used to measure cytokine output. Neutrophil activation and survival assays provide functional readouts of secreted factors.
Functional immune assays
Neutrophil activation and survival assays directly measure how IL-1 beta changes cell behavior. T cell differentiation assays assess how IL-1 influences follicular helper and regulatory T cell subsets. Adjuvant studies test how IL-1 family cytokines amplify immune responses in vivo and ex vivo.
Editing safety and inflammation monitoring
When studying CRISPR-Cas9/AAV6-edited hematopoietic stem cells, senescence and inflammation markers should be monitored alongside editing efficiency. IL-1-associated readouts can reveal unintended inflammatory consequences of editing. These assays help distinguish on-target editing effects from stress responses.
How CRISPR Can Be Used to Study GO:0071347 cellular response to interleukin-1
Knockout
CRISPR knockout of candidate genes such as IL1B, IL1R1 or downstream transcription factors allows researchers to test which components are required for the cellular response to interleukin-1. Knockout cells can be stimulated with IL-1 and profiled by RNA-seq or functional assays to identify essential mediators. This approach is widely used to dissect inflammatory signaling nodes.
Point Mutation
Point-mutation knock-in can model disease-associated variants in IL-1 pathway genes and test whether they alter responsiveness to IL-1. Such models are valuable when a single amino acid change is suspected to affect signaling or secretion. They also help distinguish gain-of-function from loss-of-function alleles in inflammatory disease research.
Knock-in
Knock-in of fluorescent or epitope tags at endogenous loci enables tracking of IL-1 pathway proteins in live cells. Tagged knock-in models can reveal where a protein localizes after IL-1 stimulation and how it is regulated. Reporter knock-in lines for cytokines or transcription factors provide sensitive readouts of GO:0071347 activation.
Overexpression
Overexpression of IL-1 pathway activators or inhibitors can test sufficiency and suppression in the cellular response to interleukin-1. Inducible overexpression systems allow precise timing relative to IL-1 stimulation. Overexpression of IL1RN, for example, can be used to block IL-1 signaling and validate pathway dependence.
How EDITGENE Supports cellular response to interleukin-1 Research
Researchers studying cellular response to interleukin-1-related genes often need to determine whether a candidate gene is causally involved in IL-1-driven phenotypes or merely correlated with them. Establishing causality requires controlled genetic perturbation, ideally in isogenic cell models that differ only at the locus of interest. CRISPR-based knockout, point-mutation, knock-in and overexpression models provide this level of rigor and are now standard in inflammation and immunology research.
Contact EDITGENE today to design your custom CRISPR model for cellular response to interleukin-1 research.
Frequently Asked Questions About cellular response to interleukin-1
What is GO:0071347 cellular response to interleukin-1?
GO:0071347 is a Gene Ontology biological process defined as any process that results in a change in state or activity of a cell as a result of an interleukin-1 stimulus, including changes in movement, secretion, enzyme production and gene expression.
What genes are involved in cellular response to interleukin-1?
Key genes include IL1B, IL1A, IL1R1, IL1RN, IL6, NFKB1, RELA, MAPK1, MAPK3, JUN, FOS and STAT3, based on studies of IL-1 signaling and downstream inflammatory programs.
How does interleukin-1 change cell behavior?
IL-1 can alter transcription, protein synthesis, cytokine secretion, survival and metabolism, with effects documented in neutrophils, hepatocytes, fibroblasts and leukemia cells.
Which cell types respond to interleukin-1?
Neutrophils, hepatocytes, gingival fibroblasts, leukemia cell lines and T cell subsets including follicular helper and regulatory T cells all show cellular responses to IL-1.
Is cellular response to interleukin-1 involved in disease?
Yes, dysregulated IL-1 responses are linked to inflammation, autoimmunity, cancer biology and gene-editing-associated adverse inflammation.
How do I study GO:0071347 in the lab?
Common approaches include IL-1 stimulation followed by RNA-seq, proteomics, secretome assays, neutrophil survival assays and T cell differentiation assays, often combined with CRISPR knockout models.
Can CRISPR help identify genes required for IL-1 responses?
Yes, CRISPR knockout and library screens can identify genes required for the cellular response to interleukin-1, and point-mutation or knock-in models can test variant effects.
Does gene editing cause IL-1-related inflammation?
CRISPR-Cas9/AAV6 editing in hematopoietic stem cells has been reported to cause senescence and inflammation as unintended adverse consequences, making IL-1 response monitoring important for safety.
What is the difference between IL-1 signaling and cellular response to interleukin-1?
IL-1 signaling refers to the receptor-proximal transduction cascade, while GO:0071347 encompasses the broader cellular changes, including gene expression, secretion and functional outcomes, that result from an IL-1 stimulus.
Why is interleukin-1 important in immunology?
IL-1 is a master pro-inflammatory cytokine that shapes innate immune activation, neutrophil survival, acute-phase responses and adaptive humoral immunity through follicular helper and regulatory T cells.
Conclusion
GO:0071347, cellular response to interleukin-1, is a well-defined biological process that connects an extracellular cytokine signal to diverse cellular outcomes including transcription, secretion, survival and metabolism. Its relevance spans innate and adaptive immunity, hepatocyte biology, fibroblast function and cancer-related cytokine secretion. In the CRISPR era, it also serves as a safety framework for monitoring inflammation and senescence after gene editing. Researchers can dissect this process using knockout, point-mutation, knock-in and overexpression models combined with transcriptomics, proteomics and functional assays. EDITGENE provides these models and bioinformatics services to accelerate causal studies of the cellular response to interleukin-1.
References
- 1. Dinarello CA et al.. 1986. Interleukins.. Annu Rev Med 37:173-8 PMID: 3518604
- 2. Ritvo PG et al.. 2019. Interleukin-1 in the Response of Follicular Helper and Follicular Regulatory T Cells.. Front Immunol 10:250 PMID: 30873158
- 3. Prince LR et al.. 2004. The role of interleukin-1beta in direct and toll-like receptor 4-mediated neutrophil activation and survival.. Am J Pathol 165(5):1819-26 PMID: 15509550
- 4. Conti A et al.. 2025. Senescence and inflammation are unintended adverse consequences of CRISPR-Cas9/AAV6-mediated gene editing in hematopoietic stem cells.. Cell Rep Med 6(6):102157 PMID: 40466639
- 5. Gaffney EV et al.. 1990. Secretion of interleukin-1 beta by a leukemia cell line in response to lipopolysaccharide and mezerein.. J Biol Response Mod 9(2):205-11 PMID: 2111375
- 6. Muñoz-Wolf N et al.. 2018. A Guide to IL-1 family cytokines in adjuvanticity.. FEBS J 285(13):2377-2401 PMID: 29656546
- 7. Bonar E et al.. 2006. Identification of major cellular proteins synthesized in response to interleukin-1 and interleukin-6 in human hepatoma HepG2 cells.. Cytokine 33(2):111-7 PMID: 16483792
- 8. Lapp CA et al.. 2002. Effects of DMAEMA and 4-methoxyphenol on gingival fibroblast growth, metabolism, and response to interleukin-1.. J Biomed Mater Res 60(1):30-5 PMID: 11835156
