Phospho-CSF1R (Y809) Antibody

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Product Specs

Buffer
Liquid in PBS containing 50% glycerol, 0.5% BSA and 0.02% sodium azide.
Form
Liquid
Lead Time
Typically, we can ship products within 1-3 business days after receiving your order. The delivery timeframe may vary depending on the purchasing method or location. For specific delivery information, please consult with your local distributor.
Synonyms
C FMS antibody; CD 115 antibody; CD115 antibody; CD115 antigen antibody; CFMS antibody; Colony stimulating factor 1 receptor antibody; Colony stimulating factor I receptor antibody; CSF 1 R antibody; CSF 1R antibody; CSF-1 receptor antibody; CSF-1-R antibody; CSF1 R antibody; CSF1R antibody; CSF1R_HUMAN antibody; CSFR antibody; EC 2.7.10.1 antibody; FIM 2 antibody; FIM2 antibody; FMS antibody; FMS proto oncogene antibody; FMS protooncogene antibody; HDLS antibody; M-CSF Receptor antibody; M-CSF-R antibody; Macrophage colony stimulating factor 1 receptor antibody; Macrophage colony stimulating factor I receptor antibody; Macrophage colony-stimulating factor 1 receptor antibody; McDonough feline sarcoma viral (v fms) oncogene homolog antibody; MCSFR antibody; Oncogen FMS antibody; Proto-oncogene c-Fms antibody; V-FMS McDonough feline sarcoma viral oncogen homolog; formerly antibody
Target Names
Uniprot No.

Target Background

Function
The tyrosine-protein kinase CSF1R functions as a cell surface receptor for CSF1 and IL34. It plays a crucial role in regulating the survival, proliferation, and differentiation of hematopoietic precursor cells, particularly mononuclear phagocytes, such as macrophages and monocytes. In response to IL34 and CSF1, CSF1R promotes the release of proinflammatory chemokines, thereby contributing significantly to innate immunity and inflammatory processes. CSF1R also plays a vital role in regulating osteoclast proliferation and differentiation, bone resorption, and normal bone and tooth development. It is essential for normal male and female fertility and the normal development of milk ducts and acinar structures in the mammary gland during pregnancy. Moreover, CSF1R promotes reorganization of the actin cytoskeleton, regulates the formation of membrane ruffles, cell adhesion, cell migration, and cancer cell invasion. Upon ligand binding, CSF1R activates several signaling pathways, including the ERK1/2 and JNK pathways. It phosphorylates PIK3R1, PLCG2, GRB2, SLA2, and CBL. The activation of PLCG2 leads to the production of diacylglycerol and inositol 1,4,5-trisphosphate, cellular signaling molecules that activate protein kinase C family members, especially PRKCD. Phosphorylation of PIK3R1, the regulatory subunit of phosphatidylinositol 3-kinase, activates the AKT1 signaling pathway. Activated CSF1R also mediates the activation of the MAP kinases MAPK1/ERK2 and/or MAPK3/ERK1, and of the SRC family kinases SRC, FYN, and YES1. Activated CSF1R transmits signals through proteins that directly interact with phosphorylated tyrosine residues in its intracellular domain, or via adapter proteins, such as GRB2. CSF1R promotes the activation of STAT family members STAT3, STAT5A, and/or STAT5B. It also promotes the tyrosine phosphorylation of SHC1 and INPP5D/SHIP-1. Receptor signaling is downregulated by protein phosphatases, such as INPP5D/SHIP-1, which dephosphorylate the receptor and its downstream effectors, and by rapid internalization of the activated receptor. In the central nervous system, CSF1R may contribute to the development of microglia macrophages.
Gene References Into Functions
  1. M-CSFR inhibition suppressed programmed death-1 and -2 ligand in adult T-cell leukemia/lymphoma (ATLL) cells and macrophages stimulated with conditioned medium from ATL-T cells. PMID: 30541986
  2. The detection of the CSF1R mutation outside of the region-encoding TKD may extend the genetic spectrum of adult-onset leukoencephalopathy with axonal spheroids and pigmented glia (ALSP) with CSF1R mutations. Mutational analysis of all the coding exons of CSF1R should be considered for patients clinically suspected of having ALSP. PMID: 30136118
  3. To verify its sensitivity and specificity, we retrospectively applied our criteria to 83 axonal spheroids and pigmented glia cases who had CSF1R mutations PMID: 28921817
  4. Study find elevated expression of CSF1R in primary gastric cancer tissue (GC) to be significantly associated with the presence of lymph node and peritoneal metastasis, advanced TNM stage, and poor survival. In vitro analysis also revealed a functional role for the CSF1R in GC development, and a prognostic and predictive biomarker for GC. PMID: 29767252
  5. Adult-onset Mendelian leukodystrophy genes are not common factors implicated in Alzheimer's disease, but there is a potential pathogenic link between NOTCH3, CSF1R, and sporadic late-onset Alzheimer's disease. PMID: 29544907
  6. Adult-onset leukoencephalopathy with axonal spheroids and pigmented glia.(S39-S41) is a subtype of dominantly inherited leukoencephalopathy caused by CSF1R mutations. PMID: 28827005
  7. this is the first study to demonstrate CSF1R genetic variant regulates the CSF-1R signaling and sensitivity to CSF-1R inhibitors. PMID: 28724665
  8. Hypoxia promotes glioma-associated macrophage infiltration via periostin and subsequent M2 polarization by upregulating TGF-beta and M-CSFR. PMID: 27602954
  9. CSF-1R is a novel therapeutic target. PMID: 27334834
  10. The phenotype of adult-onset leukoencephalopathy axonal spheroids and pigmented glia caused by CSF1R mutations is affected by sex PMID: 27680516
  11. CSFIR mutation is associated with Metaplastic Breast Cancer. PMID: 27568101
  12. Results suggest that TP63 rs7631358 G > A and CSF1R rs10079250 A > G may affect the risk and prognosis of lung cancer in never-smoking females. PMID: 28449811
  13. findings suggest that expression of wild-type CSF1R in some cells, whether achieved by mosaicism or chimerism, may confer benefit in hereditary diffuse leukoencephalopathy with axonal spheroids. PMID: 27190017
  14. This review showed that CSF1R mutation is related to Hereditary diffuse leukoencephalopathy with axonal spheroids. PMID: 27338940
  15. High CSF-1R expression is associated with Clear Cell Renal Cell Carcinoma. PMID: 26467457
  16. The aim of this study was to compare the expression of CSF-1R in nasopharyngeal carcinoma to nasopharyngitis. PMID: 26743272
  17. CSF1R mutations account for 10% of idiopathic adult onset leukodystrophies. PMID: 25935893
  18. The frequencies of the rare alleles of CCR2, ITGB3, and 3'UTR of c-fms in the Old Believers are lower than in the sample of Novosibirsk Russians, and the rare allele of DBH is more frequent PMID: 27239844
  19. Assessing serum levels of WFA(+) -CSF1R has diagnostic value for predicting carcinogenesis and the survival of LC patients. PMID: 26437001
  20. CSF1R pathway activation was evident in the cHL and inactivation of this pathway could be a potential therapeutic target in cHL cases. PMID: 26066800
  21. All 4 hereditary diffuse leukoencephalopathy with axonal spheroids patients had a different single nucleotide mutation in the cytoplasmic part of the gene. Different mutations lead to different levels of depletion of nonclassical slan-positive monocytes. PMID: 26443621
  22. results suggest that CSF1R SNP rs10079250 may contribute to lung cancer susceptibility in never-smoking females PMID: 25144241
  23. Report treatment of diffuse-type tenosynovial giant cell tumour of the soft tissue using CSF1R inhibition with emactuzumab. PMID: 26179200
  24. Autocrine CSF1R signaling is essential in maintaining low claudin expression. PMID: 25088194
  25. CSF1R gene had variations in genic regions that affected the association of RORalpha with its target binding site in vivo PMID: 25913741
  26. The first report of hereditary diffuse leukoencephalopathy with neuroaxonal spheroids due to a novel CSF1R missense mutation. PMID: 25012610
  27. A missense mutation c.2563C>A (p.P855T) of the CSF1R gene has been identified to associated with hereditary diffuse leukoencephalopathy. PMID: 25863088
  28. CSF-1R D802V and KIT D816V homologous mutations have differential effects on receptor tertiary structure and allosteric communication. PMID: 24828813
  29. C/EBPalpha-C(m)-mediated downregulation of Csf1r has a negative, rather than positive, impact on the progression of AML involving C/EBPalpha-C(m), which might possibly be accelerated by additional genetic and/or epigenetic alterations inducing Csf1r upregulation PMID: 25534203
  30. The survival of CSF1R(pos) cells requires active AKT (v-akt murine thymoma viral oncogene homolog 1) signaling, which contributed to increased levels of nuclear, transcriptionally competent beta-catenin. PMID: 24722292
  31. CSF1R gene analysis was performed in 15 patients with undefined leukoencephalopathy and progressive cognitive decline PMID: 24532199
  32. We report three patients with HDLS who carried missense mutations in the CSF1R gene, two of them novel (p.L582P and p.V383L). PMID: 24706185
  33. The identified isoform of CSF-1R mRNA may interfere with the expression of full-length CSF-1R mRNA, thereby affecting the biological activity of the ligand/receptor signaling axis in Sprague-Dawley rats. PMID: 24682770
  34. CSF-1R mayact as a transcriptional regulator on proliferation-related genes in breast cancer. PMID: 24362524
  35. Our results provide new insights into the molecular physiology of the CSF-1 receptor and contribute to our understanding of substrate selection by TACE and gamma-secretase. PMID: 24955855
  36. haploinsufficiency of CSF-1R is sufficient to cause Hereditary diffuse leukoencephalopathy with spheroids [review] PMID: 24807373
  37. CSF1R mutations in hereditary diffuse leukoencephalopathy with spheroids are loss of function. PMID: 24145216
  38. diagnosis of HDLS or a de novo mutation in CSF1R must be considered in patients with bilateral symmetric changes in ukodystrophies. PMID: 24034409
  39. Data indicate that anti-CD115 monoclonal antibody H27K15 exerts partial inhibitory effects on CD115 signaling, but inhibits monocyte chemotactic protein-1 secretion and reduces interleukin-6 production. PMID: 23924795
  40. Our data demonstrate that a high number of non-Hodgkin/Reed-Sternberg cells expressing CSF-1R are correlated with an increased tumor macrophage content and worse survival in classical Hodgkin lymphoma. PMID: 24619759
  41. Our report emphasizes the presence of atypical Parkinsonism in Hereditary diffuse leukoencephalopathy with spheroids due to CSF1R mutations PMID: 23787135
  42. our study indicates that pathogenic mutations in CSF1R are an unlikely cause of multipel sclerosis in the Canadian population PMID: 23889897
  43. This study showed that a novel A781V mutation in the CSF1R gene causes hereditary diffuse leucoencephalopathy with axonal spheroids. PMID: 23816250
  44. CSF-1R signaling by haploinsufficiency may play a role in microglial dysfunction leading to the pathogenesis of hereditary diffuse leukoencephalopathy with spheroids PMID: 24336230
  45. These results indicate that all of the Fms mutations tested severely impair the kinase activity and most of the mutations also impair the trafficking to the cell surface, further suggesting that hereditary diffuse leukoencephalopathy with spheroids is caused by the loss of Fms function. PMID: 24120500
  46. One mechanism of RANK inhibition by 1,25(OH)2D3 is down-regulation of the M-CSF receptor c-Fms, which is required for the expression of RANK. PMID: 23116709
  47. Data suggest that CSF-1R-independent actions of IL-34 via receptor-type protein-tyrosine phosphatase zeta (PTP-zeta) might be considered in evaluating IL-34 roles in development and disease. PMID: 23744080
  48. CSF1R mutations are responsible for a significant proportion of clinically and pathologically proven hereditary diffuse leukoencephalopathies with spheroids. PMID: 23649896
  49. This study showed that Adult-onset leukoencephalopathy with neuroaxonal spheroids and pigmented glia with CSF1R mutation. PMID: 23052599
  50. CSF1/CSF1R signaling is important in the recruitment of tumor-infiltrating myeloid cells that can limit the efficacy of radiotherapy PMID: 23418320

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Database Links

HGNC: 2433

OMIM: 164770

KEGG: hsa:1436

STRING: 9606.ENSP00000286301

UniGene: Hs.586219

Involvement In Disease
Leukoencephalopathy, diffuse hereditary, with spheroids (HDLS)
Protein Families
Protein kinase superfamily, Tyr protein kinase family, CSF-1/PDGF receptor subfamily
Subcellular Location
Cell membrane; Single-pass type I membrane protein.
Tissue Specificity
Expressed in bone marrow and in differentiated blood mononuclear cells.

Q&A

What is the biological significance of CSF1R Y809 phosphorylation in cellular signaling?

Phosphorylation at tyrosine 809 (Y809) represents a critical regulatory mechanism in CSF1R signaling pathways. Upon binding of CSF-1 to CSF1R, receptor dimerization triggers autophosphorylation at multiple tyrosine residues, including Y809. This specific phosphorylation event creates a docking site for the adapter protein Shc, which facilitates downstream signal transduction . Y809 phosphorylation is particularly important for tyrosine kinase activation and serves as a binding site for STAT proteins, contributing to cellular responses including proliferation, differentiation, and survival .

In functional studies, mutation at Y809 of human CSF-1R has been shown to severely impair receptor-mediated mitogenesis in NIH 3T3 and RAT-2 cell lines, highlighting the critical role of this phosphorylation site in cellular proliferation pathways . Additionally, structural analysis reveals that in the autoinhibited state of CSF1R, R782 in the catalytic loop binds to Y809, suggesting this residue has importance in maintaining receptor conformational regulation .

How does CSF1R signaling differ between microglia and peripheral macrophages?

CSF1R signaling shows important context-dependent differences between microglia in the central nervous system and peripheral macrophages, despite both cell types utilizing this receptor for development and maintenance. In microglia, CSF1R functions as a key regulator of microglial homeostasis, neurogenesis, and neuronal survival in the central nervous system . Unlike peripheral macrophages, microglia in the brain can respond to both CSF1 and IL-34 ligands, with IL-34 being more prominent in certain brain regions.

When studying phosphorylation patterns, including at Y809, researchers should note that the signaling consequences may differ between these cell populations due to:

  • Differential expression of downstream signaling components

  • Tissue-specific co-receptors and modulatory proteins

  • Different microenvironmental factors affecting receptor activation

These differences become particularly important when using phospho-CSF1R (Y809) antibodies to evaluate receptor activity in different experimental models or when interpreting results from brain versus peripheral tissue samples .

What experimental controls should be included when using Phospho-CSF1R (Y809) antibodies?

When designing experiments with Phospho-CSF1R (Y809) antibodies, implementing proper controls is essential for data interpretation:

Control TypePurposeImplementation
Positive ControlVerify antibody functionalityCSF-1 stimulated cells expressing wild-type CSF1R (e.g., stimulated macrophages or transfected HEK 293T cells)
Negative ControlEstablish baseline/backgroundUnstimulated cells or cells treated with CSF1R kinase inhibitors
Specificity ControlConfirm signal specificity1) Cells with Y809F mutation in CSF1R
2) Peptide competition assay using phospho-Y809 peptide
Loading ControlNormalize protein amountsGAPDH or total CSF1R detection on same membrane
Biological ValidationConfirm physiological relevanceTime-course of CSF-1 stimulation (typically showing peak phosphorylation at 5-15 minutes)

For Western blotting applications, researchers should include both phospho-specific detection and total CSF1R detection (using anti-GFP antibody for tagged constructs or total CSF1R antibody for endogenous protein) to distinguish between changes in phosphorylation status versus changes in total receptor expression .

What are the optimal conditions for detecting CSF1R Y809 phosphorylation by Western blotting?

To achieve optimal detection of phosphorylated CSF1R at Y809 by Western blotting, researchers should consider the following protocol recommendations:

Sample Preparation:

  • For cell culture experiments: Stimulate cells with CSF-1 (50 ng/mL) after serum starvation for optimal induction of phosphorylation

  • Lyse cells in buffer containing phosphatase inhibitors (sodium orthovanadate, sodium fluoride, and β-glycerophosphate) to preserve phosphorylation status

  • Maintain cold conditions throughout protein extraction

SDS-PAGE and Transfer:

  • Use 7-10% gels for optimal resolution of full-length CSF1R (approximately 175 kDa)

  • For transfected cell experiments, 13% SDS polyacrylamide gels may be appropriate

  • Transfer to PVDF membrane at low amperage overnight for high molecular weight proteins

Antibody Incubation:

  • Block membranes in 5% BSA in TBST (not milk, which contains phosphatases)

  • Use Anti-Phospho-CSF1R (Y809) antibody at 1:1000 dilution

  • Incubate at 4°C overnight for optimal signal-to-noise ratio

  • Secondary antibody (anti-rabbit HRP) typically used at 1:5000 dilution

Detection Considerations:

  • Enhanced chemiluminescence detection systems provide adequate sensitivity

  • For weaker signals, consider using signal enhancer reagents

  • When evaluating mutant receptors, compare phosphorylation levels normalized to total receptor expression (detected with antibodies against total CSF1R or tag epitopes)

These conditions have been successfully employed to detect differential phosphorylation of wild-type versus mutant CSF1R in research settings .

How can Phospho-CSF1R (Y809) antibodies be used to study CSF1R-related neurodegenerative diseases?

Phospho-CSF1R (Y809) antibodies provide valuable tools for investigating CSF1R-related neurodegenerative diseases such as hereditary diffuse leukoencephalopathy with spheroids (HDLS) or adult-onset leukoencephalopathy with axonal spheroids and pigmented glia (ALSP). Implementation strategies include:

In vitro functional assessment of patient mutations:

  • Generate expression constructs containing disease-associated CSF1R mutations

  • Transfect constructs into appropriate cell lines (e.g., HEK 293T cells)

  • Assess phosphorylation at Y809 and other key tyrosine residues (Y546, Y699) following CSF-1 stimulation

  • Compare phosphorylation patterns between wild-type and mutant receptors to characterize autophosphorylation deficiency

Analysis of signaling pathway disruption:

  • Examine downstream signaling consequences by assessing activation of PI3K, MAPK, and STAT pathways

  • Correlate Y809 phosphorylation status with markers of autophagy such as LC3-II levels

  • Use phospho-flow cytometry with the antibody to assess patient-derived cells where possible

Histopathological studies:

  • Apply immunohistochemistry using phospho-specific antibodies on brain tissue sections from patients or animal models

  • Compare phosphorylation patterns between affected and unaffected brain regions

  • Co-stain with microglial markers to examine cell-specific signaling alterations

Therapeutic development applications:

  • Screen compounds for ability to rescue phosphorylation defects in mutant CSF1R

  • Use Y809 phosphorylation as a pharmacodynamic marker for CSF1R-targeted therapies

  • Monitor treatment effects in preclinical models by assessing restoration of normal phosphorylation patterns

This multifaceted approach can yield insights into disease mechanisms and potentially identify therapeutic targets for CSF1R-related neurological disorders.

What techniques can be used to validate Phospho-CSF1R (Y809) antibody specificity?

Validating the specificity of Phospho-CSF1R (Y809) antibodies is crucial for experimental rigor. Researchers should implement multiple validation strategies:

Genetic approaches:

  • Compare antibody reactivity in wild-type cells versus CSF1R knockout or knockdown models

  • Use cells expressing Y809F point mutation to confirm phospho-specificity

  • Employ CRISPR/Cas9-edited cell lines with endogenous CSF1R mutations at Y809

Biochemical validation:

  • Perform peptide competition assays using phosphorylated Y809 peptide versus non-phosphorylated peptide

  • Dephosphorylate samples using lambda phosphatase treatment prior to Western blotting

  • Compare reactivity patterns with other phospho-specific CSF1R antibodies targeting different sites

Functional validation:

  • Demonstrate CSF-1 stimulation-dependent increase in signal (time-dependent manner)

  • Show signal reduction after treatment with CSF1R kinase inhibitors

  • Verify loss of signal in cells expressing kinase-dead CSF1R mutants

Technical cross-validation:

  • Confirm results using multiple detection methods (Western blot, ELISA, immunofluorescence)

  • Compare results from different commercial antibody sources (e.g., Cell Signaling Technology versus Boster Bio products)

Implementing these validation approaches ensures confidence in experimental results and addresses potential issues of antibody cross-reactivity with other phosphorylated proteins.

How can phosphorylation at Y809 be distinguished from other CSF1R phosphorylation sites in signaling studies?

Researchers investigating the specific role of Y809 phosphorylation within the broader context of CSF1R signaling face the challenge of isolating this site's contributions. Several sophisticated approaches can address this challenge:

Mutational analysis with site-specific substitutions:

  • Generate a panel of CSF1R constructs with individual Y→F mutations at key phosphorylation sites (Y561, Y699, Y723, Y809)

  • Create combination mutants that maintain only Y809 while mutating other sites

  • Perform complementation studies in CSF1R-deficient cells to isolate Y809-dependent functions

Phospho-proteomic approaches:

  • Employ mass spectrometry to quantitatively profile all CSF1R phosphorylation sites simultaneously

  • Use phospho-peptide enrichment techniques to enhance detection sensitivity

  • Apply SILAC or TMT labeling to compare phosphorylation dynamics between sites

Proximity labeling techniques:

  • Implement BioID or TurboID fusion constructs with wild-type versus Y809F CSF1R

  • Identify proteins specifically recruited to phosphorylated Y809 versus other phospho-sites

  • Map site-specific interactomes to distinguish downstream pathways

Computational modeling:

  • Apply systems biology approaches to model differential contributions of phosphorylation sites

  • Create kinetic models incorporating temporally-resolved phosphorylation data

  • Simulate effects of selective phosphorylation site inhibition

Domain-specific antibody applications:

  • Use multiple phospho-specific antibodies in parallel (e.g., p-Y546, p-Y699, p-Y809)

  • Perform sequential immunoprecipitation to isolate receptor populations with specific phosphorylation patterns

  • Apply proximity ligation assays to detect co-occurrence of multiple phosphorylation events on individual receptors

These approaches collectively enable researchers to deconvolute the specific signaling contributions of Y809 phosphorylation from other phosphorylation events in the CSF1R signaling network.

What are the technical considerations when analyzing CSF1R phosphorylation in patient-derived samples?

Analysis of CSF1R phosphorylation in patient-derived samples presents unique challenges that require specialized methodological considerations:

Sample collection and preservation:

  • Collect samples with minimal time delay to preserve phosphorylation status

  • Use preservation methods that maintain phospho-epitopes (e.g., immediate freezing or specialized fixatives)

  • Include phosphatase inhibitors at all stages of sample processing

  • Document time from collection to preservation for standardization

Patient heterogeneity considerations:

  • Account for potential effects of patient medications on CSF1R signaling

  • Consider age, sex, and disease stage as variables affecting phosphorylation

  • Include appropriate demographically-matched control samples

Tissue-specific optimization:

  • For brain samples: Optimize protein extraction to overcome lipid interference

  • For blood-derived monocytes: Standardize isolation procedures to prevent activation artifacts

  • For bone marrow samples: Consider specialized lysis buffers for optimal extraction

Limited sample quantification strategies:

  • Implement multiplexed detection methods to maximize data from minimal sample

  • Consider single-cell phospho-flow cytometry for rare populations

  • Use amplification methods (e.g., tyramide signal amplification) for immunohistochemistry

Validation in patient contexts:

  • Verify antibody specificity in the specific tissue/sample type being analyzed

  • Include technical replicates to assess measurement variability

  • Correlate phosphorylation data with clinical parameters and outcomes

Comparative analysis framework:

Sample TypeOptimal ApproachSpecial Considerations
Peripheral Blood MonocytesPhospho-flow cytometryRapid processing critical; avoid activation
Brain Tissue (Frozen)Western blot/Mass spectrometryRegional heterogeneity; post-mortem interval
Brain Tissue (FFPE)ImmunohistochemistryAntigen retrieval optimization; quantification
CSFUltrasensitive ELISALow protein concentration; stability issues
Induced Pluripotent Stem CellsLive-cell imaging with phospho-sensorsDifferentiation stage standardization

By addressing these technical considerations, researchers can generate more reliable and clinically relevant data on CSF1R phosphorylation status in patient-derived samples .

How can contradictory findings using Phospho-CSF1R (Y809) antibodies be reconciled in research studies?

Researchers may encounter contradictory results when using Phospho-CSF1R (Y809) antibodies across different studies. These discrepancies can stem from multiple sources and require systematic approaches to resolve:

Source of antibody variations:

  • Different commercial antibodies may target slightly different epitopes around Y809

  • Polyclonal versus monoclonal antibody differences in specificity and batch variation

  • The immunogen used (synthetic peptide length and surrounding sequence)

Methodological reconciliation:

  • Cross-validate findings using multiple antibodies from different vendors

  • Implement quantitative phospho-proteomics as an antibody-independent approach

  • Use genetic tools (Y809F mutations) to definitively confirm antibody specificity in each system

Biological context differences:

  • Cell type-specific differences in CSF1R signaling networks

  • Species variations in the amino acid sequence surrounding Y809

  • Differential regulation of phosphatases across experimental systems

Experimental condition standardization:

  • Normalize stimulation conditions (CSF-1 concentration, time, temperature)

  • Standardize cell density and passage number in culture systems

  • Account for serum components that may influence receptor activation

Data integration approaches:

  • Perform meta-analysis of published studies using the same antibody

  • Apply Bayesian statistical methods to integrate heterogeneous datasets

  • Use systems biology modeling to identify context-dependent variables affecting results

Reporting recommendations:

  • Document complete antibody information (catalog number, lot, dilution, incubation conditions)

  • Report all experimental conditions that may influence phosphorylation status

  • Include power calculations and sample sizes to address statistical reliability

  • Share original unprocessed data images to allow direct comparison between studies

By systematically addressing these factors, researchers can develop a more nuanced understanding of why contradictory findings may occur and establish more reliable experimental paradigms for future studies .

How might single-cell analysis techniques be applied with Phospho-CSF1R (Y809) antibodies?

Single-cell analysis represents a frontier in understanding CSF1R signaling heterogeneity across cell populations. Phospho-CSF1R (Y809) antibodies can be adapted for these emerging technologies:

Single-cell phospho-proteomics:

  • Combine Phospho-CSF1R (Y809) antibody-based enrichment with single-cell mass cytometry (CyTOF)

  • Implement microfluidic-based single-cell Western blotting for phospho-CSF1R detection

  • Develop single-cell phospho-proteomics workflows to profile Y809 alongside other phosphorylation events

Spatial transcriptomics integration:

  • Couple phospho-protein detection with spatial transcriptomics in tissue sections

  • Correlate Y809 phosphorylation with local gene expression patterns

  • Map microenvironmental factors influencing CSF1R activation at single-cell resolution

Live-cell phosphorylation sensors:

  • Develop FRET-based biosensors for real-time Y809 phosphorylation monitoring

  • Implement optogenetic approaches to spatiotemporally control CSF1R activation

  • Track single-cell phosphorylation dynamics during differentiation or disease progression

Single-cell multi-omics approaches:

  • Integrate phospho-protein measurement with transcriptomics in the same cells

  • Develop workflows to correlate Y809 phosphorylation with chromatin accessibility

  • Implement computational methods to infer causality between phosphorylation and gene expression

These emerging approaches will enable researchers to address previously intractable questions about cell-to-cell variability in CSF1R signaling, particularly in heterogeneous populations like microglia in neurodegenerative disease contexts .

What are the challenges and solutions for studying CSF1R Y809 phosphorylation in brain tissue?

Investigating CSF1R Y809 phosphorylation in brain tissue presents unique challenges that require specialized approaches:

Challenges in brain tissue analysis:

  • Cellular heterogeneity: Brain tissue contains multiple cell types with varying CSF1R expression levels

  • Post-mortem changes: Rapid dephosphorylation can occur after death

  • Tissue preservation issues: Fixation can mask phospho-epitopes

  • Low signal-to-noise ratio: Background autofluorescence in brain tissue

  • Regional variations: Differential CSF1R expression and activation across brain regions

Methodological solutions:

ChallengeTechnical SolutionImplementation Approach
Cellular heterogeneityCell-type specific analysisCombine phospho-CSF1R staining with microglial markers (Iba1, TMEM119); Use FACS to isolate specific cell populations before analysis
Post-mortem changesRapid preservation protocolsImplement snap-freezing; Use phosphatase inhibitor cocktails immediately; Document post-mortem interval as covariate
Fixation artifactsOptimized antigen retrievalTest multiple antigen retrieval methods (heat, pH, enzymatic); Use phospho-specific fixation protocols
Background signalSignal amplification techniquesApply tyramide signal amplification; Use spectral unmixing to distinguish true signal from autofluorescence
Regional variationSystematic mapping approachesImplement whole-brain imaging with automated region identification; Use quantitative image analysis with regional normalization

Advanced research strategies:

  • Develop proxy measurements for fresh tissue analysis (e.g., CSF biomarkers that correlate with brain Y809 phosphorylation)

  • Establish brain slice culture systems that maintain phosphorylation status for ex vivo manipulation

  • Implement in vivo microdialysis with phospho-protein detection capabilities

  • Utilize animal models with genetically encoded phosphorylation reporters for longitudinal studies

These approaches can help overcome the significant technical barriers to studying Y809 phosphorylation in the context of neurodegenerative diseases where CSF1R signaling plays a critical role .

How does CSF1R Y809 phosphorylation status correlate with therapeutic responses to CSF1R inhibitors?

CSF1R inhibitors are emerging therapeutic agents for various conditions including certain cancers and potentially neurodegenerative diseases. Understanding how Y809 phosphorylation relates to treatment response provides important insights:

Predictive biomarker potential:

  • Baseline Y809 phosphorylation may predict sensitivity to CSF1R inhibitors

  • Dynamic changes in Y809 phosphorylation during treatment could serve as pharmacodynamic markers

  • Persistent Y809 phosphorylation despite treatment might indicate resistance mechanisms

Mechanistic insights from Y809 phosphorylation:

  • Different CSF1R inhibitors may differentially affect Y809 versus other phosphorylation sites

  • Inhibitor binding mode may influence conformational changes that affect Y809 accessibility

  • Analysis of Y809 phosphorylation can help distinguish between ATP-competitive versus allosteric inhibitors

Combination therapy rationale:

  • Mapping pathways downstream of Y809 phosphorylation could identify synergistic drug targets

  • Understanding compensatory phosphorylation at Y809 might reveal resistance mechanisms

  • Temporal dynamics of Y809 dephosphorylation after inhibitor treatment could inform dosing schedules

Clinical implementation considerations:

  • Development of companion diagnostics based on Y809 phosphorylation status

  • Serial monitoring of Y809 phosphorylation in accessible surrogate tissues during treatment

  • Correlation between Y809 phosphorylation in different compartments (brain, CSF, blood)

Research methodologies to investigate therapeutic correlations:

  • Implement phospho-flow cytometry for rapid assessment of Y809 phosphorylation in clinical samples

  • Develop mass spectrometry approaches to quantify inhibitor binding and Y809 phosphorylation simultaneously

  • Create patient-derived organoid models to test inhibitor effects on Y809 phosphorylation in complex tissues

These investigations could significantly advance precision medicine approaches for CSF1R-targeted therapies by providing mechanistic insights into drug activity and resistance mechanisms .

What are the common pitfalls when using Phospho-CSF1R (Y809) antibodies and how can they be resolved?

Researchers often encounter specific technical challenges when working with Phospho-CSF1R (Y809) antibodies. Here are common pitfalls and their solutions:

High background signal in Western blots:

  • Cause: Insufficient blocking or non-specific binding

  • Solution: Use 5% BSA instead of milk for blocking; increase blocking time to 2 hours; try alternative blocking reagents; optimize antibody concentration through titration experiments

Weak or absent signal despite CSF1R expression:

  • Cause: Insufficient stimulation or rapid dephosphorylation

  • Solution: Optimize CSF-1 concentration and stimulation time; ensure complete phosphatase inhibition during sample preparation; verify receptor expression with total CSF1R antibody

Inconsistent results between experiments:

  • Cause: Antibody lot variation or unstandardized protocols

  • Solution: Note lot numbers and maintain consistent source; create detailed standardized protocols; include positive control samples across experiments; consider creating laboratory reference standards

Cross-reactivity with other phosphorylated proteins:

  • Cause: Epitope similarity with other phospho-tyrosine proteins

  • Solution: Validate specificity with CSF1R-deficient cells; perform peptide competition assays; confirm molecular weight is consistent with CSF1R

Poor detection in fixed tissue samples:

  • Cause: Fixation-induced epitope masking

  • Solution: Optimize antigen retrieval methods (test different buffers, pH conditions, and heating protocols); consider alternative fixation methods; use phospho-epitope-friendly fixatives

Inability to detect endogenous phosphorylation:

  • Cause: Low expression levels or insufficient sensitivity

  • Solution: Immunoprecipitate CSF1R before Western blotting; use signal enhancement systems; consider more sensitive detection methods; amplify signal with biotin-streptavidin systems

Rapid signal loss during manipulation:

  • Cause: Active phosphatases in samples

  • Solution: Keep samples on ice; use higher concentrations of phosphatase inhibitors; minimize handling time; consider adding phosphatase inhibitors to blocking and washing buffers

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