SLC29A1 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
We typically dispatch products within 1-3 business days after receiving your order. Delivery times may vary depending on the purchasing method or location. For specific delivery times, please consult your local distributors.
Synonyms
Equilibrative NBMPR-sensitive nucleoside transporter antibody; equilibrative nitrobenzylmercaptopurine riboside (NBMPR)-sensitive nucleoside transporter antibody; Equilibrative nitrobenzylmercaptopurine riboside-sensitive nucleoside transporter antibody; Equilibrative nucleoside transporter 1 antibody; es-type antibody; MGC1465 antibody; MGC3778 antibody; Nucleoside transporter antibody; Nucleoside transporter, es-type antibody; OTTHUMP00000016506 antibody; OTTHUMP00000016507 antibody; OTTHUMP00000016508 antibody; OTTHUMP00000016509 antibody; OTTHUMP00000016510 antibody; OTTHUMP00000016511 antibody; OTTHUMP00000016512 antibody; S29A1_HUMAN antibody; Slc29a1 antibody; solute carrier family 29 (equilibrative nucleoside transporter), member 1 antibody; solute carrier family 29 (nucleoside transporters), member 1 antibody; Solute carrier family 29 member 1 antibody
Target Names
SLC29A1
Uniprot No.

Target Background

Function
Equilibrative nucleoside transporter 1 (ENT1) mediates both the influx and efflux of nucleosides across the cell membrane. It is classified as a sensitive (ES) transporter, exhibiting sensitivity to low concentrations of the inhibitor nitrobenzylmercaptopurine riboside (NBMPR). ENT1 is sodium-independent and exhibits a higher affinity for adenosine. Notably, its activity is inhibited by dipyridamole and dilazep, which are anticancer chemotherapeutic drugs.
Gene References Into Functions
  1. CD73-dependent elevation of plasma adenosine signaling via ADORA2B-mediated protein kinase A phosphorylation, ubiquitination, and proteasome degradation of erythrocyte ENT1 constitutes a novel feed-forward signaling network underpinning initial hypoxic adaptation and retention upon re-exposure. PMID: 28169986
  2. FBW7 promotes gemcitabine sensitivity by upregulating ENT1 at the protein level, rather than the transcriptional level. PMID: 28765935
  3. ENT1 serves as a prognostic marker for patients with pT2 gallbladder cancer (GBC). PMID: 26266900
  4. FLT3 plays a role in cytarabine transport by SLC29A1 in pediatric acute leukemia. PMID: 27391351
  5. The rs760370 SNP is not a reliable predictor of response in chronic HCV patients undergoing interferon ribavirin therapy. PMID: 28207300
  6. Glycosylation at N48 is crucial for the localization, function, and oligomerization of hENT1. PMID: 27480168
  7. The combination of ENT1, MATE1, and OCT2 SNPs may serve as a predictive and prognostic marker in metastatic colorectal carcinoma patients treated with TAS-102. PMID: 28992563
  8. CYR61 negatively regulates the nucleoside transporters hENT1 and hCNT3 in pancreatic ductal adenocarcinoma. PMID: 27604902
  9. Chronic inhibition of ENT1 or genetic removal of ENT1 enhanced the survival of R6/2 mice. These findings indicate that adenosine homeostasis and ENT1 expression are altered in Huntington's disease (HD). Inhibition of ENT1, which enhances extracellular adenosine levels, may represent a potential therapeutic approach for treating HD. PMID: 28069792
  10. hENT1 expression could predict gemcitabine efficacy in leiomyosarcoma and angiosarcoma patients. If confirmed in prospective trials, this finding could enable better patient selection and improved therapeutic efficacy. PMID: 28641307
  11. Studies describe two novel modes of action of ticagrelor: inhibition of platelet ENT1 and inverse agonism at the P2Y12R, both contributing to its effective inhibition of platelet activation. PMID: 27694321
  12. Binding of hENT1 to adenosine, deoxyadenosine, and adenine, as determined by isothermal titration calorimetry, generally aligns with the results of competitive inhibition assays. These findings validate hENT1 as a bona fide target for potential drug development and provide a useful basis for future biophysical and structural studies. PMID: 27995448
  13. These findings suggest that ENT1 is regulated via receptor-dependent calcium-linked pathways, leading to altered purine flux. This modulation of purinergic signaling may influence the efficacy of nucleoside analog drugs. PMID: 27009875
  14. SLC29A1 rs760370 and KLF12 rs9543524 SNPs are associated with treatment-induced thrombocytopenia in chronic hepatitis C patients treated with PEGIFN2b/ribavirin/combination therapy. PMID: 26750805
  15. Interaction of Met(33) (involved in dipyridamole binding) with BCR-ABL inhibitors is reduced when compared to the interaction with the M33A mutant hENT1. PMID: 27432881
  16. Researchers clearly demonstrate that ribavirin uptake in primary human hepatocytes is variable and correlates with ENT1 expression. PMID: 28417642
  17. A pro-apoptotic effect of verapamil was observed in L3.6pl cells, but not in L3.6plGres cells, which was linked to their differential expression of P-gp and ENT-1. PMID: 27177126
  18. Human ENT1 proteins exist as two sub-populations, and cytidine pre-treatment leads to the internalization of one population. PMID: 27906634
  19. The mRNA expression levels of hENT1 were significantly down-regulated under hypoxic conditions, but treatment with NHI-1 was associated with a recovery of hENT1 expression. PMID: 27906635
  20. Results indicate that both SLC29A1 and SLC29A2 were expressed at lower levels in colon cancer cell lines originating from metastatic sites compared to primary sites. PMID: 28218790
  21. Direct evidence for apical localization of ENT1 and integral expression of ENT2 in intestinal epithelial cells has been established. PMID: 27160886
  22. mRNA expression of ENT1 was closely associated with cell proliferation and exhibited variability across seven non-Hodgkin lymphoma cell lines. PMID: 27173327
  23. Data demonstrate that hENT1 expression was an independent prognostic factor in both the overall patient population and those who underwent surgical resection. PMID: 26784908
  24. Low ENT1 expression is associated with periampullary adenocarcinoma. PMID: 26362587
  25. High expression of hENT1 appears to predict a favorable response to decitabine and prolonged survival in higher-risk myelodysplastic syndrome patients treated with decitabine. PMID: 26944860
  26. Studies suggest that an autophagy response induced by hepatitis C virus (HCV) in cell culture reduces ribavirin (RBV) uptake and antiviral activity by decreasing the surface expression of ENT1. PMID: 26431496
  27. The identification of ITPA protective and SLC29A1 risk genotypes remains a current methodology for Ribavirin dosing during hepatitis C virus therapy with direct-acting antiviral agents. PMID: 26279293
  28. Research on the role of flexible loops in the folding, trafficking, and activity of equilibrative nucleoside transporters is ongoing. PMID: 26406980
  29. RECPAM analysis revealed that DCK and CHOP were the most relevant variables for identifying patients with different mortality risks, while hENT1 and CHOP could distinguish subgroups of patients with varying disease progression risks. PMID: 25199538
  30. ENT1 expression profile did not prove to be a useful prognostic biomarker or therapeutic target for surgically resected patients with ampullary carcinoma. PMID: 25906447
  31. Activation of the adenosine A1 receptor increases ENT1 activity through protein kinase C. PMID: 25725289
  32. Brains from patients with drug-resistant temporal lobe epilepsy exhibited higher levels of ENT1 compared to controls. PMID: 25490964
  33. Acute myeloid leukemia patients with low activity of the SLC29A1 genotype have shorter disease-free and overall survival when treated with Ara-C-based therapy. PMID: 25398670
  34. SNPs in SLC29A1 were not associated with an increased risk of post-traumatic epilepsy development following brain injury. PMID: 26040919
  35. Results establish Augustine as a new blood group system and identify SLC29A1 as a new candidate gene for idiopathic disorders characterized by ectopic calcification/mineralization. PMID: 25896650
  36. Human ENT1c1 and d3 (and c2) mRNAs are primarily expressed in human hepatocytes, suggesting they may play crucial roles in controlling hENT1 expression levels within these cells. PMID: 24522200
  37. A meta-analysis suggests that high hENT1 expression may be associated with improved overall survival (OS) and disease-free survival (DFS) in pancreatic cancer patients receiving gemcitabine therapy. PMID: 24625353
  38. High intratumoral hENT1 expression and low RRM1 expression were independently associated with prolonged disease-free survival in cholangiocarcinoma patients receiving adjuvant gemcitabine-based chemotherapy. PMID: 25032731
  39. The study found no evidence supporting the use of hENT1 as a predictive biomarker for gemcitabine efficacy in patients with advanced pancreatic cancer. PMID: 24857044
  40. Low hENT1 levels represent a significant and reproducible marker of adverse prognosis in pancreatic cancer patients receiving gemcitabine-based chemotherapy. PMID: 24475233
  41. The potential prognostic and predictive role of SLC29A1 has been demonstrated for a selected subset of patients. PMID: 24280569
  42. Studies indicate that high expression of hENT1 in pancreaticobiliary (PB) cancer patients receiving GEM-based adjuvant therapy is associated with improved overall survival and disease-free survival. PMID: 24152955
  43. Genetic polymorphisms in SLC28A3, SLC29A1, and RRM1 can influence the clinical outcome of metastatic breast cancer patients treated with paclitaxel-gemcitabine chemotherapy. PMID: 24361227
  44. Findings implicate ENT1 in liver protection from ischemia and reperfusion injury, suggesting that ENT inhibitors may be beneficial in preventing or treating ischemic liver injury. PMID: 23703920
  45. Studies indicate that HENT1 and SPARC expression may be useful predictive factors for response to chemotherapy in pancreatic cancer. PMID: 23846918
  46. These findings reveal transcriptional repression of ENT1,2 as an innate protective response during acute pulmonary inflammation. PMID: 23590299
  47. hENT1 and Notch3 mRNA expressions in biopsy specimens were the key predictive biomarkers of gemcitabine effect and sensitivity in patients with unresectable pancreatic ductal carcinoma. PMID: 23492684
  48. Data suggest that SLC29A1 is located on the basolateral membrane of adult Sertoli cells, primarily responsible for basolateral nucleoside uptake into Sertoli cells. Conversely, SLC29A2 is localized to the apical membrane of Sertoli cells. PMID: 23639800
  49. It was confirmed that individuals homozygous for single nucleotide polymorphisms rs6932345 and rs747199 exhibited higher SLC29A1 mRNA expression in peripheral blood mononuclear cells. PMID: 23095574
  50. ENT1-mediated uptake of gemcitabine may compensate for the total uptake of gemcitabine, resulting in a smaller variation in the apparent accumulation of gemcitabine than that observed for individual transporters. PMID: 22644860

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Database Links

HGNC: 11003

OMIM: 602193

KEGG: hsa:2030

STRING: 9606.ENSP00000360773

UniGene: Hs.25450

Protein Families
SLC29A/ENT transporter (TC 2.A.57) family
Subcellular Location
Basolateral cell membrane; Multi-pass membrane protein. Apical cell membrane; Multi-pass membrane protein. Cell membrane; Multi-pass membrane protein. Note=Predominantly localized in the basolateral membrane in polarized MDCK cells.
Tissue Specificity
Detected in erythrocytes (at protein level). Expressed in heart, brain, mammary gland, erythrocytes and placenta, and also in fetal liver and spleen.

Q&A

What is SLC29A1 and why are antibodies against it important in research?

SLC29A1 is an equilibrative nucleoside transporter that mediates the facilitated diffusion of nucleosides across cell membranes. This protein plays critical roles in nucleoside homeostasis and the cellular uptake of nucleoside analogs used in cancer and antiviral therapies. Antibodies against SLC29A1 are essential research tools for detecting, quantifying, and localizing this transporter in various experimental settings. They enable investigators to correlate transporter expression with functional activity, monitor changes in expression patterns during disease progression, and evaluate the role of SLC29A1 in drug resistance mechanisms. These antibodies have become indispensable for understanding nucleoside transport biology and developing targeted therapeutic approaches .

What are the common applications for SLC29A1 antibodies in research?

SLC29A1 antibodies are employed across multiple research applications with varying methodological requirements. Western blotting (WB) serves as a primary technique for detecting and quantifying SLC29A1 protein in cellular or tissue lysates, with recommended dilutions typically ranging from 1:100 to 1:250 . Immunohistochemistry (IHC) allows visualization of SLC29A1 distribution in tissue sections at dilutions between 1:20 and 1:50 . Immunofluorescence (IF) provides higher-resolution subcellular localization data at concentrations of 1-4 μg/mL . Additional applications include flow cytometry (FACS) for analyzing SLC29A1 expression in cell populations, enzyme-linked immunosorbent assay (ELISA) for quantitative measurements, and immunoprecipitation for studying protein-protein interactions .

What epitopes are typically targeted by SLC29A1 antibodies?

Commercial SLC29A1 antibodies target various regions of the protein, with each epitope offering different advantages for specific applications. Central region antibodies, such as those targeting amino acids 234-263, are commonly available and useful for detecting the protein in multiple species including human and mouse . C-terminal region antibodies (aa 402-431) provide an alternative detection site that may be more accessible in certain experimental conditions . Some antibodies target larger segments, such as amino acids 228-291, potentially increasing detection sensitivity . Others recognize specific sequences like "TQYFTNRLDMSQNVSLVTAELSKDAQASAAPAAPLPERNSL" as seen in at least one commercial antibody . The choice of epitope affects cross-species reactivity, detection efficiency in different applications, and the ability to recognize various conformational states of the protein.

What species cross-reactivity can be expected from SLC29A1 antibodies?

SLC29A1 antibodies demonstrate variable cross-reactivity patterns depending on the conservation of targeted epitopes across species. Most commercially available antibodies show reactivity with human SLC29A1, with many also recognizing mouse and rat orthologs . Some antibodies exhibit broader cross-reactivity profiles, including detection in monkey, cow, dog, bat, horse, rabbit, goat, guinea pig, and hamster samples . This extensive cross-reactivity reflects the evolutionary conservation of certain SLC29A1 regions. When selecting an antibody for non-human studies, researchers should verify the specific reactivity profile for their species of interest, as epitope conservation varies across different regions of the protein. Some antibodies may be predicted to work in certain species based on sequence homology but require experimental validation .

How are SLC29A1 antibodies typically generated and purified?

SLC29A1 antibodies are predominantly generated through immunization of host animals with synthetic peptides corresponding to specific regions of the SLC29A1 protein. Rabbits are the most common host species for producing polyclonal SLC29A1 antibodies, as evidenced by multiple commercial offerings . The immunization process typically involves conjugating the target peptide to a carrier protein such as KLH (Keyhole Limpet Hemocyanin) to enhance immunogenicity, as seen with antibodies generated against amino acids 234-263 of rat ENT1 . Purification methods generally employ a two-step process, beginning with protein A column chromatography to isolate total IgG, followed by peptide affinity purification to select antibodies specific to the target epitope . This rigorous purification approach helps minimize cross-reactivity and background in experimental applications.

How should experiments be designed to study SLC29A1's role in drug resistance?

Investigating SLC29A1's contribution to drug resistance requires a multi-faceted experimental design. Initially, establish baseline expression profiles across drug-sensitive and resistant cell lines using validated SLC29A1 antibodies in Western blotting (1:100-1:250 dilution) and immunohistochemistry (1:20-1:50 dilution) . Generate isogenic cell models through genetic manipulation (overexpression, knockdown, or knockout) to directly assess SLC29A1's contribution to resistance phenotypes. Correlate protein expression with functional transport assays using nucleoside drugs to confirm that expression differences translate to altered drug accumulation. Examine potential post-translational modifications and subcellular redistribution in resistant cells using immunofluorescence (1-4 μg/mL) . For clinical relevance, analyze SLC29A1 expression in patient samples with differential treatment responses, employing standardized immunohistochemical protocols with appropriate controls. This comprehensive approach will distinguish between correlative associations and causal relationships in SLC29A1-mediated drug resistance.

What are the optimal validation methods for confirming SLC29A1 antibody specificity?

Thorough validation of SLC29A1 antibody specificity requires a multi-parameter approach. Western blotting should demonstrate a band of the expected molecular weight (~50-55 kDa), with signal intensity correlating with known expression levels across different tissue types. Critical negative controls include SLC29A1 knockout/knockdown samples, which should show significantly reduced signal intensity. Peptide competition assays, where the primary antibody is pre-incubated with the immunizing peptide, should abolish specific staining. Cross-validation using multiple antibodies targeting different SLC29A1 epitopes provides additional confidence when concordant results are observed. For immunohistochemistry and immunofluorescence applications, staining patterns should match the expected membrane localization and known tissue distribution of SLC29A1. Lastly, orthogonal techniques such as mass spectrometry analysis of immunoprecipitated proteins can provide definitive confirmation of antibody specificity .

How do different fixation and sample preparation methods affect SLC29A1 detection?

Fixation and sample preparation critically influence SLC29A1 detection due to its multiple transmembrane domains. For immunohistochemistry applications, formalin-fixed, paraffin-embedded tissues typically require heat-induced epitope retrieval methods to restore antibody accessibility. The recommended dilution range (1:20-1:50) for such applications suggests relatively stringent antigen retrieval is necessary . For immunofluorescence on cultured cells, 4% paraformaldehyde preserves membrane architecture but may reduce epitope accessibility, while methanol fixation can better expose certain epitopes but potentially disrupt membrane integrity. When performing Western blotting, sample preparation should include appropriate detergents (e.g., 1% Triton X-100) to efficiently solubilize membrane-bound SLC29A1. Each antibody may perform optimally under specific fixation conditions, necessitating systematic comparison of protocols when implementing new antibodies or studying novel tissue types.

What approaches can distinguish between SLC29A1 and other nucleoside transporters?

Differentiating SLC29A1 from other nucleoside transporters requires careful experimental design. Antibody selection is crucial - choose antibodies targeting regions with minimal sequence homology to other transporters, particularly SLC29A2 (ENT2), which shares significant structural similarity with SLC29A1. Validate specificity using cells with genetic knockout of specific transporters. Western blotting can differentiate transporters based on small differences in molecular weight when using high-resolution gels. For functional distinction, pharmacological approaches using selective inhibitors like NBMPR at low concentrations (1-10 nM) specifically block SLC29A1 but not SLC29A2. Immunofluorescence with well-validated antibodies can reveal distinct subcellular localization patterns of different transporters. RNA interference targeting individual transporters can further isolate their specific contributions to nucleoside transport. When publishing, clearly document the validation steps performed to ensure transporter-specific detection .

How can phosphorylation-specific SLC29A1 antibodies advance transporter regulation studies?

Phosphorylation-specific SLC29A1 antibodies offer powerful tools for investigating post-translational regulation of nucleoside transport. These specialized antibodies enable researchers to track specific phosphorylation events at key regulatory residues in response to various stimuli, including growth factors, stress conditions, or drug treatments. By performing temporal studies with phospho-specific antibodies, researchers can establish the kinetics of SLC29A1 phosphorylation and correlate these modifications with changes in transporter activity, membrane localization, or protein-protein interactions. Combined with pharmacological inhibitors or genetic manipulation of specific kinases, these antibodies help establish causal relationships between signaling pathways and transporter function. Though not explicitly mentioned in the search results, researchers could develop custom phospho-specific antibodies against known or predicted phosphorylation sites in SLC29A1 following standard protocols for phospho-epitope antibody generation and validation.

What are the optimal protocols for SLC29A1 immunoprecipitation?

Successful immunoprecipitation of SLC29A1 requires protocols optimized for membrane proteins. Begin with an appropriate lysis buffer containing mild detergents (0.5-1% Triton X-100 or NP-40) to solubilize membrane-bound SLC29A1 without disrupting protein complexes. Include protease inhibitors to prevent degradation and phosphatase inhibitors if studying phosphorylation states. Pre-clear lysates with protein A/G beads to reduce non-specific binding. For immunoprecipitation, use 2-5 μg of validated SLC29A1 antibody per 500 μg of total protein and incubate overnight at 4°C with gentle rotation. After capturing antibody-protein complexes with protein A/G beads, perform stringent washing (4-5 washes) with decreasing detergent concentrations. Elute precipitated proteins under conditions compatible with downstream applications – use low pH buffer for maintaining antibody integrity or SDS sample buffer for maximum protein recovery. Western blotting of immunoprecipitated samples should show enrichment of SLC29A1 compared to input controls .

What are the recommended antigen retrieval methods for SLC29A1 immunohistochemistry?

For optimal SLC29A1 detection in formalin-fixed, paraffin-embedded tissues, heat-induced epitope retrieval (HIER) methods are generally recommended. Citrate buffer (pH 6.0) or EDTA buffer (pH 9.0) heated to 95-98°C for 20-30 minutes in a pressure cooker or microwave typically yields good results. Based on manufacturer recommendations for the HPA012383 antibody, a dilution range of 1:20-1:50 is suggested for immunohistochemistry applications, indicating that relatively robust antigen retrieval is necessary . The optimal retrieval method may vary depending on the specific epitope targeted by the antibody. For antibodies recognizing the central region (aa 234-263) or C-terminal regions (aa 402-431), different retrieval conditions may be required. Systematic optimization comparing different pH conditions, heating methods, and incubation times is recommended when establishing protocols for new antibodies or tissue types to ensure maximum sensitivity and specificity of SLC29A1 detection.

How should researchers optimize Western blotting conditions for SLC29A1?

Optimizing Western blotting for SLC29A1 requires attention to several membrane protein-specific considerations. Sample preparation should include membrane protein extraction buffers containing appropriate detergents (0.5-1% Triton X-100 or NP-40) to effectively solubilize SLC29A1. Avoid excessive heating of samples (>70°C) which can cause membrane protein aggregation; instead, incubate at 37°C for 30 minutes or 50°C for 10 minutes. Use gradient or lower percentage (8-10%) SDS-PAGE gels to achieve better resolution of the ~50-55 kDa SLC29A1 protein. For transfer, employ wet transfer methods with added SDS (0.1%) in the transfer buffer to facilitate membrane protein migration. Based on manufacturer recommendations, primary antibody dilutions typically range from 1:100 to 1:250 . Select appropriate membrane protein loading controls (Na⁺/K⁺ ATPase or pan-cadherin) rather than cytosolic proteins. When quantifying results, use technical replicates and normalize to loading controls to account for variations in membrane protein recovery .

What controls are essential when using SLC29A1 antibodies in research?

Implementing rigorous controls is critical for reliable interpretation of experiments using SLC29A1 antibodies. Positive controls should include tissues or cell lines with confirmed high SLC29A1 expression, while negative controls should feature tissues known to lack expression or, ideally, SLC29A1 knockout/knockdown samples. For immunohistochemistry and immunofluorescence, include an isotype control (non-specific IgG from the same species as the primary antibody) to assess non-specific binding. Peptide competition controls, where the antibody is pre-incubated with excess immunizing peptide, provide compelling evidence of binding specificity. For Western blotting, include molecular weight markers to confirm band size and appropriate loading controls specific for the subcellular fraction being analyzed (membrane markers for SLC29A1). When performing novel antibody validation, compare results from multiple antibodies targeting different SLC29A1 epitopes. Finally, include technical replicates (minimum n=3) in all quantitative analyses to enable statistical evaluation of results .

How can multiplex immunofluorescence with SLC29A1 antibodies be optimized?

Optimizing multiplex immunofluorescence with SLC29A1 antibodies requires careful planning to avoid technical pitfalls. First, select primary antibodies from different host species to prevent cross-reactivity between secondary antibodies. If using multiple rabbit antibodies (common for SLC29A1), consider sequential staining with complete elution between antibodies or directly conjugated primary antibodies. Determine optimal antibody concentration through titration experiments; for SLC29A1, starting concentrations of 1-4 μg/mL are recommended . Employ appropriate fixation methods that preserve epitope accessibility while maintaining cellular architecture. Include single-staining controls to confirm antibody performance and spectral controls to address potential bleed-through between fluorophores. Use spectral unmixing during image acquisition if overlapping emission spectra cannot be avoided. For co-localization studies with other membrane proteins, super-resolution microscopy techniques may be necessary to accurately resolve spatial relationships. Always validate that staining patterns in multiplex experiments match those observed in single-staining controls to ensure antibody performance is not compromised in the multiplex setting .

What factors may contribute to false positive or negative results with SLC29A1 antibodies?

Multiple factors can lead to misleading results when using SLC29A1 antibodies. False positives commonly arise from antibody cross-reactivity with related transporters (particularly SLC29A2/ENT2), excessive antibody concentration exceeding manufacturer recommendations (optimal ranges: 1:100-1:250 for Western blotting; 1:20-1:50 for immunohistochemistry; 1-4 μg/mL for immunofluorescence) , inadequate blocking, or non-specific binding to hydrophobic proteins. False negatives may result from epitope masking due to protein-protein interactions, inadequate sample preparation, insufficient antigen retrieval for fixed tissues, or use of incompatible detection systems. Poor tissue fixation or excessive fixation can both negatively impact epitope recognition. The membrane protein nature of SLC29A1 makes it particularly susceptible to technical artifacts during sample preparation. Researchers should implement comprehensive controls, including positive and negative tissue controls, and correlate antibody-based detection with functional or genetic approaches to minimize misinterpretation of results .

How can researchers determine the optimal antibody concentration for each application?

Determining optimal SLC29A1 antibody concentration requires systematic titration experiments for each application. For Western blotting, begin with the manufacturer's recommended range (typically 1:100-1:250) and test serial dilutions using samples with known SLC29A1 expression levels. The optimal concentration should produce a clear specific band at the expected molecular weight (~50-55 kDa) with minimal background. For immunohistochemistry, test a concentration series starting with the suggested range (1:20-1:50) on known positive tissues, evaluating both signal intensity and background. For immunofluorescence, initial concentrations of 1-4 μg/mL are recommended, with optimization based on signal-to-noise ratio. In all applications, include negative controls (isotype antibodies or SLC29A1-negative samples) tested at the same concentrations to identify non-specific binding. The optimal antibody concentration will provide maximum specific signal with minimal background, and may vary between tissue types or cell lines based on target abundance and sample preparation methods.

What strategies can address weak or absent SLC29A1 signal in Western blotting?

When confronting weak or absent SLC29A1 signal in Western blotting, several troubleshooting strategies should be implemented. First, verify sample preparation – SLC29A1 as a membrane protein requires effective solubilization using appropriate detergents (0.5-1% Triton X-100 or NP-40). Second, increase protein loading (up to 50-100 μg per lane) while ensuring even loading across samples. Third, optimize antibody concentration within the recommended range (1:100-1:250) or slightly higher if background remains acceptable. Fourth, extend primary antibody incubation time (overnight at 4°C) and use more sensitive detection methods such as enhanced chemiluminescence (ECL) Plus or SuperSignal West Femto. Fifth, modify transfer conditions – use wet transfer with added SDS (0.1%) in the transfer buffer to improve membrane protein migration. Sixth, try alternative antibodies targeting different epitopes, as some regions may be more accessible than others. Finally, verify SLC29A1 expression in your samples using RT-qPCR to confirm whether weak signal reflects technical issues or true biological expression levels .

How should researchers interpret SLC29A1 localization patterns in different cell types?

Interpreting variations in SLC29A1 localization across cell types requires careful consideration of both biological and technical factors. Biologically, differential localization may reflect cell type-specific regulation of nucleoside transporter trafficking, interactions with cell-specific binding partners, or functional adaptations to varying metabolic demands. While SLC29A1 primarily localizes to the plasma membrane, some cell types may show significant intracellular pools in endosomal compartments or specialized membrane domains. Technically, researchers should verify that observed differences are not artifacts of fixation, permeabilization, or antibody accessibility issues by testing multiple fixation protocols and antibodies targeting different epitopes (e.g., central region aa 234-263 versus C-terminal region aa 402-431) . Quantitative assessment using standardized imaging parameters and analysis methods strengthens comparative studies. Complementary approaches such as subcellular fractionation followed by Western blotting, cell surface biotinylation, or expression of fluorescently-tagged SLC29A1 can provide independent confirmation of localization patterns observed with antibody-based detection methods.

How can SLC29A1 antibodies advance personalized medicine approaches?

SLC29A1 antibodies have significant potential to advance personalized medicine strategies, particularly for nucleoside analog-based therapies. Immunohistochemical analysis using standardized protocols (antibody dilutions 1:20-1:50) can stratify patients based on SLC29A1 expression levels in tumor biopsies, potentially predicting response to nucleoside analog drugs like gemcitabine or cytarabine. Multiplexed immunohistochemistry combining SLC29A1 with metabolic enzymes can provide a more comprehensive profile of nucleoside drug handling capacity. Beyond expression levels, phospho-specific antibodies could identify activation states that correlate with transport activity. In research settings, patient-derived xenografts or organoids can be characterized for SLC29A1 expression and localization using immunofluorescence (1-4 μg/mL) to guide therapy selection. While not explicitly mentioned in the search results, emerging technologies like mass cytometry with metal-conjugated SLC29A1 antibodies could enable high-dimensional analysis of transporter expression in heterogeneous tumor samples, further refining patient stratification approaches.

What novel methodologies are enhancing SLC29A1 antibody-based research?

Recent methodological advances are expanding the utility of SLC29A1 antibodies in research. Super-resolution microscopy techniques now enable visualization of SLC29A1 distribution within specialized membrane microdomains at resolutions below the diffraction limit, providing insights into transporter clustering and co-localization with regulatory partners. Proximity ligation assays using SLC29A1 antibodies can detect protein-protein interactions within native cellular contexts, revealing regulatory networks. Mass spectrometry-based proteomics following SLC29A1 immunoprecipitation identifies interaction partners and post-translational modifications affecting transporter function. Single-cell approaches combining flow cytometry with validated SLC29A1 antibodies reveal population heterogeneity in transporter expression. CRISPR-Cas9 genome editing provides precise knockout controls for antibody validation. While not explicitly mentioned in the search results, these emerging techniques complement traditional antibody applications like Western blotting (1:100-1:250 dilution), immunohistochemistry (1:20-1:50 dilution), and immunofluorescence (1-4 μg/mL) to deepen our understanding of SLC29A1 biology .

How can researchers evaluate antibodies targeting SLC29A1 post-translational modifications?

Evaluating antibodies against post-translationally modified SLC29A1 requires rigorous validation strategies. First, confirm specificity using peptide competition assays with both modified and unmodified peptides – the antibody should be blocked only by the modified peptide. Second, verify signal reduction following treatment with enzymes that remove the modification (e.g., phosphatases for phosphorylation, deglycosylases for glycosylation). Third, demonstrate signal increase following treatments known to induce the modification (e.g., kinase activators for phosphorylation). Fourth, perform parallel detection with modification-specific and pan-SLC29A1 antibodies to determine the modified fraction of total protein. Fifth, confirm that the antibody recognizes the modification in the context of the full protein using immunoprecipitation followed by modification-specific Western blotting or mass spectrometry. While the search results do not specifically mention modification-specific SLC29A1 antibodies, these validation principles apply when developing or evaluating such specialized reagents for research applications.

What are the emerging applications of SLC29A1 antibodies in cancer research?

SLC29A1 antibodies are increasingly valuable tools in cancer research beyond their traditional roles. Immunohistochemical analysis of tumor microarrays using validated antibodies (dilution range 1:20-1:50) enables correlation of transporter expression with clinical outcomes and treatment responses. Multiplexed immunofluorescence combining SLC29A1 with cancer stem cell markers can reveal transporter expression in therapy-resistant subpopulations. In drug development pipelines, high-content screening with SLC29A1 antibodies can identify compounds that modulate transporter expression or localization. For studying tumor metabolism, co-localization analyses with metabolic enzymes using immunofluorescence (1-4 μg/mL) can reveal spatial organization of nucleoside salvage pathways. SLC29A1 antibodies are also being applied to liquid biopsy research, detecting transporter expression in circulating tumor cells as potential biomarkers. While not explicitly mentioned in the search results, these emerging applications represent important directions in translational cancer research utilizing SLC29A1 antibodies.

How do tissue-specific glycosylation patterns affect SLC29A1 antibody recognition?

Tissue-specific glycosylation of SLC29A1 can significantly impact antibody recognition in ways that researchers must carefully consider. SLC29A1 contains potential N-glycosylation sites that may be differentially modified across tissues, potentially masking epitopes or altering protein mobility on SDS-PAGE gels. When comparing Western blotting results across tissue types, researchers may observe apparent molecular weight differences (beyond the expected ~50-55 kDa) reflecting tissue-specific glycosylation patterns rather than protein isoforms. Antibodies targeting glycosylation-rich regions may show variable detection efficiency depending on the glycosylation status. To address this challenge, researchers can treat samples with deglycosylating enzymes (PNGase F or Endo H) before immunoblotting to determine whether glycosylation affects antibody recognition. When selecting antibodies for multi-tissue studies, those targeting regions less likely to be affected by glycosylation may provide more consistent results. While glycosylation-specific effects aren't explicitly mentioned in the search results, these considerations are important when interpreting variable SLC29A1 detection across different biological samples.

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