GO:2000283 negative regulation of amino acid biosynthetic process: Metabolic Control, Genes, Functions and Research Methods
Research-grade guide for scientists and biopharma professionals
Key Takeaways
• GO:2000283 describes any process that stops, prevents or reduces the frequency, rate or extent of an amino acid biosynthetic process.
• The term sits within the biological_process aspect of the Gene Ontology and is the negative counterpart of amino acid biosynthetic process regulation.
• Amino acid availability is sensed by mTORC1 through the Rag GTPase complex, which integrates amino acid sufficiency signals with growth control.
• The integrated stress response, mediated by GCN2 and eIF2alpha phosphorylation, rapidly suppresses translation and biosynthetic gene expression under amino acid limitation.
• Dysregulated amino acid metabolism is linked to cancer progression, metabolic disease, psoriasis and diabetic retinopathy.
• CRISPR knockout, point mutation, knock-in and overexpression models allow causal testing of negative regulators of amino acid biosynthesis.
Description
Amino acid biosynthesis is a metabolically expensive process that cells must tightly control to balance growth, energy use and stress survival. GO:2000283, negative regulation of amino acid biosynthetic process, captures the regulatory events that stop, prevent or reduce the frequency, rate or extent of amino acid biosynthesis. This term is essential for annotating gene products that act as brakes on biosynthetic pathways, including sensors, transcriptional repressors and signaling components that respond to nutrient status. Understanding this process helps researchers interpret how cells adapt to amino acid scarcity, how tumors rewire metabolism and how metabolic disorders arise. Because amino acid biosynthesis intersects with protein synthesis, epigenetics and immune signaling, GO:2000283 is a hub for studies in cancer biology, metabolic disease and translational medicine.
negative regulation of amino acid biosynthetic process At A Glance
| GO ID | GO:2000283 |
|---|---|
| GO term | negative regulation of amino acid biosynthetic process |
| Ontology | biological_process |
| Synonym | negative regulation of amino acid anabolism; negative regulation of amino acid biosynthesis; negative regulation of amino acid formation; negative regulation of amino acid synthesis; negative regulation of cellular amino acid biosynthetic process |
| Major function | Stops, prevents or reduces the frequency, rate or extent of amino acid biosynthetic process |
| Regulatory logic | Nutrient sensing, transcriptional repression and translational control converge to suppress biosynthesis when amino acids are sufficient or when stress demands conservation of resources |
| Key sensors | mTORC1 pathway via Rag GTPases and GCN2/eIF2alpha integrated stress response |
| Disease relevance | Cancer metabolism, metabolic disorders, psoriasis and diabetic retinopathy |
| Experimental models | CRISPR knockout, point mutation, knock-in and overexpression cell models; CRISPR library screening |
What Is GO:2000283?
GO:2000283 is a biological_process term defined as any process that stops, prevents or reduces the frequency, rate or extent of an amino acid biosynthetic process. In practical terms, it covers molecular events such as inhibition of biosynthetic enzyme activity, repression of biosynthetic gene transcription, degradation of biosynthetic enzymes, and signaling cascades that sense amino acid sufficiency and shut down biosynthesis. It is the negative regulatory counterpart to positive regulation of amino acid biosynthetic process and is distinct from amino acid catabolism or transport, although these pathways are functionally coupled.
Why Is negative regulation of amino acid biosynthetic process Important in Cell Biology?
Negative regulation of amino acid biosynthesis is central to cellular economy because amino acid production consumes carbon, nitrogen and energy. When nutrients are abundant, cells suppress biosynthesis to avoid waste; when amino acids are scarce, the integrated stress response and mTORC1 signaling coordinate a rapid shutdown of anabolic programs. Defects in this regulation contribute to cancer progression, where tumor cells hijack amino acid metabolism to support growth, and to metabolic and inflammatory diseases such as psoriasis and diabetic retinopathy. Studying GO:2000283 therefore informs cancer therapy, metabolic disease research and the design of CRISPR models that test causal roles of regulatory genes.
• Maintains metabolic efficiency by preventing unnecessary amino acid biosynthesis when nutrients are sufficient.
• Coordinates with mTORC1 signaling to couple amino acid availability to cell growth and proliferation.
• Enables rapid translational reprogramming through the integrated stress response when amino acids are limiting.
• Supports cancer research because amino acid metabolic rewiring is a hallmark of tumor progression.
• Provides mechanistic insight into metabolic signatures of inflammatory skin disease such as psoriasis.
• Links branched-chain amino acid catabolism and biosynthesis control to diabetic retinopathy and inflammation.
• Guides interpretation of exercise and protein metabolism studies in muscle growth research.
• Offers targets for CRISPR knockout and point mutation studies of nutrient-sensing pathways.
• Helps annotate gene function in genome-scale screens and bioinformatics pipelines.
• Connects basic amino acid regulation to translational medicine and therapeutic development.
What Happens During negative regulation of amino acid biosynthetic process?
Amino acid sensing and signal initiation
In simple terms: The cell first checks whether amino acids are available before deciding to stop making them.
Negative regulation of amino acid biosynthesis begins with sensing of intracellular amino acid levels. The Rag GTPase heterodimer acts as a key node that signals amino acid sufficiency to mTORC1, and its intersubunit crosstalk enables rapid responses to changing amino acid availability. When amino acids are sufficient, this sensing machinery promotes mTORC1 activity and downstream anabolic programs while suppressing biosynthetic stress responses. The GATOR1 tumor suppressor complex functions as a GAP for Rag GTPases, adding another layer of control over amino acid signaling.
Translational suppression via the integrated stress response
In simple terms: When amino acids run low, the cell quickly slows down protein production and biosynthetic gene expression.
Amino acid limitation activates the integrated stress response, in which phosphorylation of eIF2alpha by GCN2 leads to regulated translation initiation and selective gene expression changes. This translational control reduces the synthesis of many proteins, including biosynthetic enzymes, thereby contributing to negative regulation of amino acid biosynthetic process. Harding et al. demonstrated that regulated translation initiation controls stress-induced gene expression in mammalian cells, providing a mechanistic basis for how cells suppress anabolic programs under nutrient stress.
Transcriptional repression of biosynthetic genes
In simple terms: The cell can also turn down the genes that make amino acid biosynthetic enzymes.
Beyond translation, negative regulation of amino acid biosynthesis involves transcriptional programs that reduce expression of biosynthetic enzymes when amino acids are abundant. Nutrient-sensing pathways including mTORC1 influence transcription factors and coactivators that control metabolic gene expression. This layer ensures that biosynthetic capacity is adjusted over longer timescales, complementing rapid translational control.
Coupling to catabolism and metabolic balance
In simple terms: The cell balances making amino acids with breaking them down.
Negative regulation of amino acid biosynthesis is functionally coupled to amino acid catabolism. Branched-chain amino acid catabolism is regulated by mechanisms that respond to dietary and hormonal signals, and BCAT1 activation can reprogram branched-chain amino acid metabolism in disease contexts. This coupling ensures that cells do not simultaneously synthesize and degrade amino acids in a wasteful cycle, and it links GO:2000283 to metabolic disease and inflammation.
Integration with growth and proliferation signals
In simple terms: Whether a cell grows or rests depends on amino acid availability and biosynthetic control.
mTORC1 integrates amino acid sufficiency with growth signals, and the Rag GTPase pathway is central to this integration. When amino acids are plentiful, mTORC1 promotes growth and suppresses biosynthetic stress responses; when amino acids are limiting, negative regulation of biosynthesis helps conserve resources. This integration is particularly relevant in cancer, where SLC7A5/E2F1/PTBP1/PKM2 signaling links amino acid metabolism and glycolysis to tumor progression.
Key Genes Involved in GO:2000283 negative regulation of amino acid biosynthetic process
The following genes and proteins are experimentally linked to amino acid sensing, biosynthetic control and related metabolic regulation relevant to GO:2000283.
| Gene | Major Role | Research Relevance |
|---|---|---|
| RRAGA | Rag GTPase subunit that signals amino acid sufficiency to mTORC1 | Core node for amino acid sensing and negative regulation of biosynthetic programs |
| RRAGB | Rag GTPase subunit in the heterodimer responding to amino acid availability | Intersubunit crosstalk enables rapid mTORC1 responses |
| RRAGC | Rag GTPase subunit required for amino acid-dependent mTORC1 activation | Target for CRISPR knockout studies of nutrient signaling |
| RRAGD | Rag GTPase subunit contributing to amino acid sensing | Model for point mutation analysis of GTPase function |
| DEPDC5 | Component of GATOR1 complex with GAP activity toward Rag GTPases | Tumor suppressor linked to amino acid signaling |
| NPRL2 | GATOR1 subunit involved in negative regulation of mTORC1 signaling | Relevant to cancer and metabolic disease models |
| NPRL3 | GATOR1 subunit that modulates Rag GTPase activity | Candidate for knockout and knock-in studies |
| GCN2 (EIF2AK4) | Kinase that phosphorylates eIF2alpha during amino acid limitation | Central to integrated stress response and translational control |
| EIF2S1 | Alpha subunit of eIF2 targeted by GCN2 phosphorylation | Point mutation models can test phosphorylation-dependent regulation |
| ATF4 | Stress-induced transcription factor downstream of eIF2alpha phosphorylation | Links stress signaling to metabolic gene expression |
| BCAT1 | Branched-chain amino acid transaminase involved in BCAA metabolism | Reprogramming linked to diabetic retinopathy and inflammation |
| BCKDHA | Branched-chain alpha-keto acid dehydrogenase subunit in BCAA catabolism | Regulation of BCAA catabolism intersects with biosynthetic control |
| SLC7A5 | Amino acid transporter linked to tumor metabolism | Part of SLC7A5/E2F1/PTBP1/PKM2 axis in triple-negative breast cancer |
| E2F1 | Transcription factor in the SLC7A5/E2F1/PTBP1/PKM2 axis | Connects amino acid metabolism to cell cycle and cancer |
| PTBP1 | RNA-binding protein in the SLC7A5/E2F1/PTBP1/PKM2 axis | Splicing and metabolic regulation in cancer |
| PKM2 | Glycolytic enzyme in the SLC7A5/E2F1/PTBP1/PKM2 axis | Crosstalk between amino acid metabolism and glycolysis |
| MTOR | Kinase integrating amino acid and growth signals | Central regulator of anabolic and catabolic balance |
| LARS1 | Leucyl-tRNA synthetase implicated in amino acid sensing | Potential node connecting translation and biosynthetic control |
How Is negative regulation of amino acid biosynthetic process Regulated?
Negative regulation of amino acid biosynthetic process is controlled by layered signaling. The Rag GTPase-mTORC1 axis senses amino acid sufficiency and adjusts anabolic programs accordingly, with GATOR1 providing GAP activity to restrain Rag signaling. In parallel, amino acid limitation activates GCN2, which phosphorylates eIF2alpha and triggers the integrated stress response, suppressing translation and biosynthetic gene expression. Branched-chain amino acid catabolism is also regulated by mechanisms responsive to nutritional and hormonal cues, and BCAT1 activation can shift BCAA metabolism in disease. Together, these pathways ensure that amino acid biosynthesis is suppressed when amino acids are abundant or when stress requires resource conservation.
negative regulation of amino acid biosynthetic process and Human Disease
| Gene | Disease / Biology | Potential Experimental Model |
|---|---|---|
| SLC7A5 | Triple-negative breast cancer progression and therapy response | Knockout and overexpression in breast cancer cell lines |
| BCAT1 | Diabetic retinopathy and inflammation | Knockout and point mutation models in retinal cells |
| DEPDC5 | Cancer and mTORC1-related metabolic signaling | Knockout models to test GATOR1 function |
| EIF2AK4 (GCN2) | Integrated stress response and metabolic stress | Point mutation of phosphorylation sites and knockout |
| RRAGA/RRAGB | Amino acid sensing and growth control | Knock-in of GTPase mutants and knockout |
Cancer metabolism and tumor progression
Amino acid metabolism is rewired in many cancers, and negative regulation of amino acid biosynthesis is often disrupted to support growth. The SLC7A5/E2F1/PTBP1/PKM2 axis mediates progression and therapy response in triple-negative breast cancer through crosstalk between amino acid metabolism and glycolysis. mTORC1 signaling, controlled by Rag GTPases and GATOR1, is frequently altered in cancer and influences biosynthetic programs.
Metabolic and inflammatory disease
Altered amino acid metabolism is a feature of inflammatory and metabolic conditions. Metabolomic profiling reveals amino acid and carnitine alterations as metabolic signatures in psoriasis. In diabetic retinopathy, BCAT1 activation reprograms branched-chain amino acid metabolism and epigenetically promotes inflammation. These findings link dysregulation of amino acid biosynthetic control to disease pathology.
Muscle and exercise physiology
Protein and amino acid metabolism are central to muscle growth and adaptation. Exercise, protein metabolism and muscle growth are interconnected, and understanding how amino acid biosynthesis is regulated helps interpret anabolic responses to training and nutrition. Negative regulation of biosynthesis contributes to the balance between amino acid availability and muscle protein synthesis.
From negative regulation of amino acid biosynthetic process-Related Genes to Experimental Models
| Research Question | Suitable Model |
|---|---|
| Is a candidate gene required for negative regulation of amino acid biosynthesis? | CRISPR knockout cell model |
| Does a specific phosphorylation site control biosynthetic suppression? | CRISPR point mutation knock-in |
| Does a disease-associated variant alter amino acid sensing? | Knock-in of the variant allele |
| Where and when is the regulator expressed? | Tagged knock-in with fluorescent or epitope tag |
| Does overexpression of the regulator suppress biosynthesis? | CRISPR overexpression cell model |
| Which genes modify the phenotype in a pooled format? | CRISPR library screening with bioinformatics analysis |
How to Study the negative regulation of amino acid biosynthetic process Process
| Method | What It Measures | Typical Application |
|---|---|---|
| RNA-seq | Transcript abundance of biosynthetic genes | Assessing transcriptional repression after perturbation |
| Ribo-seq | Translation efficiency and ribosome occupancy | Detecting translational suppression in stress responses |
| Metabolomics | Amino acid and metabolite levels | Identifying metabolic signatures in disease models |
| Proteomics | Protein abundance and modifications | Quantifying biosynthetic enzymes and signaling events |
| Western blot | Specific protein levels and phosphorylation | Validating eIF2alpha phosphorylation and pathway activity |
| CRISPR library screening | Gene essentiality and modifier effects | Discovering regulators of amino acid biosynthesis |
| Bioinformatics pathway analysis | Enrichment of GO terms and pathways | Interpreting omics data in the context of GO:2000283 |
Transcriptomic and translatomic profiling
RNA-seq and Ribo-seq can measure changes in biosynthetic gene expression and translation efficiency following perturbation of negative regulators. The integrated stress response suppresses translation of many mRNAs, and Ribo-seq captures these changes at codon resolution. These methods help define the transcriptional and translational footprint of GO:2000283.
Metabolomics and flux analysis
Metabolomic profiling identifies amino acid and carnitine alterations in disease and can reveal pathway activity changes. Stable isotope tracing and flux analysis complement metabolomics by quantifying biosynthetic rates. These approaches are essential for testing whether a regulator truly changes amino acid biosynthesis.
Proteomics and post-translational modification analysis
Mass spectrometry-based proteomics can quantify biosynthetic enzyme abundance and detect phosphorylation events such as eIF2alpha phosphorylation. These measurements link signaling events to changes in the biosynthetic machinery.
Imaging and reporter assays
Fluorescent reporters and live-cell imaging can visualize amino acid sensing and biosynthetic pathway activity in real time. Tagged knock-in models enable tracking of regulator localization and dynamics. These methods complement biochemical assays and support functional annotation of GO:2000283.
How CRISPR Can Be Used to Study GO:2000283 negative regulation of amino acid biosynthetic process
Knockout
CRISPR knockout cell models delete candidate negative regulators to test whether amino acid biosynthesis becomes derepressed. For example, knocking out GATOR1 components such as DEPDC5 can alter mTORC1 signaling and downstream biosynthetic programs. Knockout studies provide causal evidence linking a gene to GO:2000283.
Point Mutation
Point mutation models introduce specific amino acid substitutions to test the role of catalytic or regulatory residues. For instance, mutating phosphorylation sites in eIF2alpha or GTPase domains in Rag proteins can reveal mechanism-specific effects on biosynthetic control. These models are ideal for dissecting signaling nodes without deleting the entire protein.
Knock-in
Knock-in models can introduce disease-associated variants, fluorescent tags or epitope tags at endogenous loci. Tagged knock-in of regulators enables localization and interaction studies, while variant knock-in tests whether a specific allele alters amino acid sensing and biosynthetic regulation.
Overexpression
CRISPR overexpression models drive candidate regulators above endogenous levels to test whether increased dosage suppresses amino acid biosynthesis. Overexpression of negative regulators can phenocopy nutrient sufficiency, while overexpression of dominant-negative mutants can reveal pathway dependencies.
How EDITGENE Supports negative regulation of amino acid biosynthetic process Research
Researchers studying negative regulation of amino acid biosynthetic process-related genes often need to determine whether a candidate gene is causally involved in suppressing biosynthesis, whether a specific variant alters nutrient sensing, or whether overexpression is sufficient to change metabolic flux. Answering these questions requires precise, reproducible cell models that isolate the gene of interest from confounding background effects.
Contact EDITGENE today to design your custom CRISPR model for negative regulation of amino acid biosynthetic process research.
Frequently Asked Questions About negative regulation of amino acid biosynthetic process
What is GO:2000283 negative regulation of amino acid biosynthetic process?
GO:2000283 is a Gene Ontology biological_process term defined as any process that stops, prevents or reduces the frequency, rate or extent of an amino acid biosynthetic process.
What genes are involved in negative regulation of amino acid biosynthetic process?
Genes involved include RRAGA, RRAGB, RRAGC, RRAGD, DEPDC5, NPRL2, NPRL3, GCN2 (EIF2AK4), EIF2S1, ATF4, BCAT1, SLC7A5, E2F1, PTBP1, PKM2 and MTOR, based on studies of amino acid sensing and metabolism.
How does mTORC1 regulate amino acid biosynthesis?
mTORC1 integrates amino acid sufficiency signals through the Rag GTPase complex, and GATOR1 provides GAP activity to control Rag signaling, thereby influencing biosynthetic programs.
What is the integrated stress response in amino acid regulation?
The integrated stress response is a translational control program in which GCN2 phosphorylates eIF2alpha under amino acid limitation, suppressing translation and biosynthetic gene expression.
Why is negative regulation of amino acid biosynthesis important in cancer?
Cancer cells often rewire amino acid metabolism to support growth, and pathways such as SLC7A5/E2F1/PTBP1/PKM2 link amino acid metabolism to tumor progression and therapy response.
Which diseases are linked to dysregulated amino acid metabolism?
Dysregulated amino acid metabolism has been linked to triple-negative breast cancer, psoriasis, diabetic retinopathy and metabolic disorders.
How can CRISPR be used to study GO:2000283?
CRISPR knockout, point mutation, knock-in and overexpression models allow causal testing of genes that regulate amino acid biosynthesis, and CRISPR library screening can discover new modifiers.
What methods measure amino acid biosynthetic regulation?
RNA-seq, Ribo-seq, metabolomics, proteomics, Western blot and CRISPR library screening are commonly used to measure transcriptional, translational and metabolic changes.
What is the role of BCAT1 in amino acid metabolism?
BCAT1 is a branched-chain amino acid transaminase whose activation reprograms BCAA metabolism and epigenetically promotes inflammation in diabetic retinopathy.
How does exercise affect amino acid and protein metabolism?
Exercise influences protein metabolism and muscle growth, and understanding amino acid biosynthetic regulation helps interpret anabolic responses to training and nutrition.
Conclusion
GO:2000283, negative regulation of amino acid biosynthetic process, is a critical biological_process term that captures how cells suppress costly biosynthetic pathways in response to nutrient and stress signals. The Rag GTPase-mTORC1 axis and the GCN2-eIF2alpha integrated stress response provide the core mechanisms, while transcriptional and metabolic layers add further control. Dysregulation of this process is implicated in cancer, inflammatory skin disease, diabetic retinopathy and metabolic disorders. CRISPR-based knockout, point mutation, knock-in and overexpression models, combined with omics and screening approaches, offer powerful ways to dissect these mechanisms and identify therapeutic targets.
References
- 1. Tipton KD et al.. 2001. Exercise, protein metabolism, and muscle growth.. Int J Sport Nutr Exerc Metab 11(1):109-32 PMID: 11255140
- 2. Jiang C et al.. 2025. SLC7A5/E2F1/PTBP1/PKM2 axis mediates progression and therapy effect of triple-negative breast cancer through the crosstalk of amino acid metabolism and glycolysis pathway.. Cancer Lett 617:217612 PMID: 40054655
- 3. Harding HP et al.. 2000. Regulated translation initiation controls stress-induced gene expression in mammalian cells.. Mol Cell 6(5):1099-108 PMID: 11106749
- 4. Chen C et al.. 2021. Metabolomic profiling reveals amino acid and carnitine alterations as metabolic signatures in psoriasis.. Theranostics 11(2):754-767 PMID: 33391503
- 5. Wang J et al.. 2025. BCAT1 Activation Reprograms Branched-Chain Amino Acid Metabolism and Epigenetically Promotes Inflammation in Diabetic Retinopathy.. Invest Ophthalmol Vis Sci 66(6):59 PMID: 40530920
- 6. Bar-Peled L et al.. 2013. A Tumor suppressor complex with GAP activity for the Rag GTPases that signal amino acid sufficiency to mTORC1.. Science 340(6136):1100-6 PMID: 23723238
- 7. Shen K et al.. 2017. Intersubunit Crosstalk in the Rag GTPase Heterodimer Enables mTORC1 to Respond Rapidly to Amino Acid Availability.. Mol Cell 68(3):552-565.e8 PMID: 29056322
- 8. Harris RA et al.. 2004. Mechanisms responsible for regulation of branched-chain amino acid catabolism.. Biochem Biophys Res Commun 313(2):391-6 PMID: 14684174
