MID1IP1 antibody binds specifically to the MID1IP1 protein, also known as Mid1-interacting G12-like protein or Spot 14-related protein (S14R). This protein is encoded by the MID1IP1 gene (NCBI Gene ID: 58526) and functions in:
The antibody is available in both polyclonal (e.g., Proteintech 15764-1-AP, Antibodies.com A28707) and monoclonal (e.g., Abcam ab276070) forms, with reactivity across human, mouse, and rat samples .
Lipid Biosynthesis: Enhances triacylglycerol and phospholipid production in the liver .
Cancer Pathways: Facilitates colorectal cancer growth via ribosomal proteins L5/L11 and CNOT2 .
MID1IP1 antibodies have been instrumental in uncovering the protein’s role in disease mechanisms:
Cancer Therapeutics:
Mechanistic Insights:
MID1IP1 (Mid1-interacting protein 1) is a protein that plays a significant role in regulating lipogenesis in the liver. It up-regulates ACACA (Acetyl-CoA Carboxylase Alpha) enzyme activity and is required for efficient lipid biosynthesis, including the production of triacylglycerol, diacylglycerol, and phospholipids. Additionally, MID1IP1 is involved in the stabilization of microtubules, suggesting its role in cytoskeletal organization . This multifunctional protein is also known by several alternative names, including MIG12, Gastrulation-specific G12-like protein, Protein STRAIT11499, and Spot 14-related protein (S14R), reflecting its diverse roles in cellular processes .
There are several types of MID1IP1 antibodies available for research purposes, including both polyclonal and monoclonal antibodies. Polyclonal antibodies like ab224550 are developed in rabbits and are suitable for immunohistochemistry on paraffin-embedded tissues (IHC-P) with human samples . Recombinant monoclonal antibodies such as ab276070 are also available and have been validated for immunocytochemistry (ICC) and Western blotting (WB) applications with human samples . These antibodies typically target different epitopes within the MID1IP1 protein, with some recognizing regions within amino acids 50-150 while others target epitopes from the N-terminus to the C-terminus .
Selecting the appropriate MID1IP1 antibody depends critically on your experimental design and intended application. Begin by identifying which applications you need to perform: immunohistochemistry (IHC), Western blotting (WB), immunocytochemistry (ICC), or others. For instance, if you're conducting IHC on paraffin-embedded human tissues, a polyclonal antibody like ab224550 has been validated for this application at a dilution of 1:50 . For Western blotting or ICC, consider recombinant monoclonal antibodies like ab276070 . Additionally, consider the species reactivity needed (most available antibodies have been validated with human samples) and the specific region of MID1IP1 you wish to target. Reviewing published literature or manufacturer validation data showing successful application in experimental conditions similar to yours will further inform your selection.
Proper experimental controls are essential for validating results obtained with MID1IP1 antibodies. Always include both positive and negative controls in your experiments. For positive controls, use tissues or cell lines known to express MID1IP1 such as human liver, testis, skeletal muscle, or stomach tissues, which have been documented to show positive staining with antibodies like ab224550 . For negative controls, include samples where the primary antibody is omitted while maintaining all other steps in your protocol. Additionally, consider using MID1IP1 knockdown or knockout samples as biological negative controls when available. For Western blotting, include molecular weight markers to confirm the expected size of MID1IP1 (approximately 22 kDa). When conducting immunoprecipitation experiments, include isotype control antibodies to assess non-specific binding.
Optimizing the detection of MID1IP1 in different subcellular compartments requires a multi-faceted approach. For immunofluorescence applications, use 4% PFA fixation followed by 0.1% Triton X-100 permeabilization in PBS, as this has been shown effective for visualizing MID1IP1 in HeLa cells . When examining MID1IP1's association with microtubules, co-staining with tubulin markers can provide valuable contextual information about its localization pattern. Consider using subcellular fractionation before Western blotting to enrich for cytoplasmic, nuclear, or membrane-associated pools of the protein. For optimal results, test different antibody concentrations (1:60 dilution has been reported effective for immunofluorescence with ab276070 ) and incubation conditions (4°C overnight incubation may yield better signal-to-noise ratios than room temperature incubations). Additionally, the choice between polyclonal and monoclonal antibodies may affect detection of different protein conformations or complexes in specific compartments.
When investigating MID1IP1's role in lipid metabolism using antibody-based techniques, several methodological considerations are critical. First, tissue selection is paramount—liver tissue is ideal given MID1IP1's established role in hepatic lipogenesis . Consider using both normal and metabolically challenged models (e.g., high-fat diet, fasting/refeeding protocols) to observe dynamic regulation of MID1IP1. For co-immunoprecipitation studies examining MID1IP1's interaction with ACACA, use gentle lysis conditions to preserve protein-protein interactions, and validate antibody specificity to avoid false positives. When performing Western blotting to quantify MID1IP1 expression changes in response to metabolic stimuli, normalization to appropriate housekeeping proteins is essential, as metabolic perturbations can affect traditional housekeeping genes. Immunofluorescence microscopy can reveal co-localization with lipid droplets when combined with lipid stains like BODIPY or Oil Red O. Finally, complement antibody-based approaches with functional assays measuring lipid synthesis rates or ACACA activity to establish causative relationships between MID1IP1 expression and lipogenic outcomes.
Troubleshooting weak or non-specific signals in Western blotting with MID1IP1 antibodies requires systematic optimization of multiple parameters. For weak signals, first ensure adequate protein loading (25-50 μg of total protein is typically sufficient) and consider enriching your sample through immunoprecipitation or subcellular fractionation. Optimize primary antibody concentration and incubation time—for recombinant monoclonal antibodies like ab276070, extending incubation time to overnight at 4°C may improve signal detection . If using ECL detection, consider switching to more sensitive substrates or longer exposure times. For non-specific bands, increase blocking stringency (5% BSA or milk in TBST for 1-2 hours) and optimize washing steps (at least 3 x 10 minutes with TBST). Some MID1IP1 antibodies work better under reducing conditions, while others may require non-reducing conditions to preserve epitopes. If one antibody consistently produces non-specific bands, validate your results with an alternative antibody targeting a different epitope. Finally, for cell lines with low endogenous expression, consider using positive control lysates from tissues known to express MID1IP1 abundantly, such as liver or testis tissues .
Validating novel MID1IP1 antibodies requires rigorous multi-platform testing to ensure specificity, sensitivity, and reproducibility. Begin with ELISA testing against the immunizing antigen to confirm basic recognition properties. Subsequently, conduct Western blot analysis using recombinant MID1IP1 protein and lysates from tissues known to express MID1IP1 (liver, testis, skeletal muscle) to verify correct molecular weight detection (approximately 22 kDa). Include negative controls such as MID1IP1 knockout/knockdown samples when available. For immunohistochemistry validation, test across multiple fixation conditions (formalin, paraformaldehyde) and antigen retrieval methods, as epitope accessibility can vary significantly. Compare staining patterns with published literature and other validated antibodies. Immunoprecipitation followed by mass spectrometry can provide definitive confirmation of antibody specificity. Additionally, test for cross-reactivity with closely related proteins to rule out non-specific binding. Document the validated antibody's performance across different dilutions, incubation times, and detection methods to establish a robust working protocol. Finally, verify the antibody's species reactivity claims through systematic testing in relevant model organisms.
Studying MID1IP1's interactions with the microtubule network using antibodies requires specialized approaches that preserve cytoskeletal structures. Begin with immunofluorescence co-localization studies using optimized fixation methods—methanol fixation often better preserves microtubule structures compared to paraformaldehyde. Perform dual staining with MID1IP1 antibodies (such as ab276070 at 1:60 dilution) and anti-tubulin antibodies, analyzing co-localization through confocal microscopy with appropriate co-localization metrics (Pearson's or Mander's coefficients). To investigate dynamic associations, treat cells with microtubule-disrupting agents (nocodazole, colchicine) or stabilizing agents (taxol) prior to fixation and staining. For biochemical validation, perform co-immunoprecipitation experiments under conditions that preserve microtubule associations (typically using buffers with low detergent concentrations and stabilizing agents like GTP and taxol). Complement antibody-based approaches with in vitro microtubule binding assays using recombinant MID1IP1 and purified tubulin. Finally, live-cell imaging using fluorescently tagged MID1IP1 with simultaneous microtubule labeling can provide insights into the temporal dynamics of these interactions, though results should be validated with antibody-based detection of endogenous proteins to rule out artifacts from overexpression systems.
For optimal immunohistochemical detection of MID1IP1 in tissue samples, paraffin embedding followed by appropriate antigen retrieval is the recommended approach. Based on validated protocols, MID1IP1 antibodies like ab224550 perform effectively at a 1:50 dilution in human tissue samples . The antibody has been successfully used on various human tissues including testis, skeletal muscle, and stomach, demonstrating its versatility across different tissue types . For antigen retrieval, heat-induced epitope retrieval (HIER) in citrate buffer (pH 6.0) is typically effective, though optimization may be necessary for specific tissue types. Overnight primary antibody incubation at 4°C generally yields better results than shorter incubations at room temperature. For visualization, both chromogenic detection methods (such as DAB) and fluorescent secondary antibodies can be employed depending on your experimental requirements. When using fluorescent detection, include a nuclear counterstain like DAPI and a cytoskeletal marker to provide contextual information about MID1IP1 localization relative to cellular structures.
Quantifying MID1IP1 expression levels across experimental conditions requires robust analytical approaches tailored to your detection method. For Western blotting quantification, use densitometry software (ImageJ, Image Studio Lite) to measure band intensities, normalizing to appropriate housekeeping proteins like β-actin or GAPDH. Ensure you're working within the linear detection range by testing multiple protein loads or antibody dilutions. For immunohistochemistry or immunofluorescence, quantitative image analysis can be performed using software that measures parameters such as staining intensity, percent positive cells, or subcellular distribution patterns. When analyzing IHC data, use standardized scoring systems (H-score, Allred score) for consistency. For more precise quantification, consider using ELISA-based methods or quantitative proteomics approaches like selected reaction monitoring (SRM) with isotope-labeled peptide standards. Regardless of the method chosen, biological replicates (minimum n=3) and appropriate statistical analysis are essential. Additionally, validate expression changes at the protein level with corresponding mRNA analysis when possible, as post-transcriptional regulation can lead to discrepancies between transcript and protein levels.
For effective immunoprecipitation (IP) of MID1IP1, begin with optimized cell lysis conditions that preserve protein-protein interactions while efficiently extracting MID1IP1. A buffer containing 150 mM NaCl, 50 mM Tris-HCl (pH 7.4), 1% NP-40 or Triton X-100, and protease inhibitors provides a good starting point. For IP of MID1IP1 in its native form, recombinant monoclonal antibodies like ab276070 may offer advantages due to their high specificity . Pre-clear the lysate with protein A/G beads before adding 2-5 μg of antibody per 500 μg of protein lysate, and incubate overnight at 4°C with gentle rotation. Capture the antibody-protein complexes using pre-washed protein A/G magnetic beads for 1-2 hours at 4°C. Perform stringent washing steps (at least 4-5 washes) with lysis buffer containing reduced detergent concentration to minimize non-specific binding. Elute the immunoprecipitated complexes with either acidic glycine buffer (pH 2.5) followed by immediate neutralization, or by boiling in Laemmli buffer for subsequent SDS-PAGE analysis. Always run input, flow-through, and IP samples on your gel, along with an IgG control IP to identify non-specific interactions. For co-IP studies investigating MID1IP1's interactions with ACACA or microtubule components, validation through reciprocal IP and Western blotting is strongly recommended.
Optimizing double immunofluorescence staining with MID1IP1 antibodies requires careful attention to antibody compatibility and protocol design. First, select a MID1IP1 antibody with known efficacy in immunofluorescence, such as ab276070, which has been validated at 1:60 dilution in HeLa cells . When combining with other markers, consider the species origin of both primary antibodies to avoid cross-reactivity—ideally, choose antibodies raised in different species (e.g., rabbit anti-MID1IP1 with mouse anti-tubulin). If using same-species antibodies, sequential staining with directly conjugated antibodies or Fab fragment blocking between staining steps can minimize cross-reactivity. For optimal results, test different fixation methods (4% PFA with 0.1% Triton X-100 permeabilization has been validated ) and optimize antigen retrieval conditions for both targets simultaneously. When selecting fluorophores for secondary antibodies, choose spectrally distinct pairs (e.g., Alexa Fluor 488 and Alexa Fluor 594) and include appropriate controls: single-stained samples to assess bleed-through and secondary-only controls to evaluate background. For co-localization analysis with lipid droplets or microtubules, consider the three-dimensional nature of these structures by collecting z-stack images via confocal microscopy rather than single-plane imaging. Finally, quantitative co-localization analysis using appropriate software tools can provide objective measures of spatial relationships between MID1IP1 and other cellular components.
MID1IP1 antibodies provide powerful tools for investigating this protein's role in lipid metabolism disorders through multiple research approaches. In clinical samples from patients with non-alcoholic fatty liver disease (NAFLD), steatohepatitis, or metabolic syndrome, immunohistochemical staining using antibodies like ab224550 (1:50 dilution) can reveal alterations in MID1IP1 expression patterns compared to healthy controls. Western blot analysis of liver biopsies can quantify MID1IP1 protein levels and correlate them with disease severity markers or lipid profiles. For mechanistic studies, co-immunoprecipitation with MID1IP1 antibodies followed by mass spectrometry can identify novel interaction partners in disease states, potentially revealing dysregulated pathways. In cell culture models of lipid metabolism disorders (such as hepatocytes treated with high fatty acids), immunofluorescence microscopy can track changes in MID1IP1 subcellular localization relative to lipid droplets or ACACA. For translational research, tissue microarray analysis using MID1IP1 antibodies can screen large patient cohorts to establish correlations between expression patterns and clinical outcomes. These approaches collectively can help determine whether MID1IP1 represents a potential therapeutic target or biomarker for metabolic disorders characterized by dysregulated lipid metabolism.
Studying MID1IP1 expression patterns across tissues and developmental stages can yield significant insights into its biological functions and regulatory mechanisms. MID1IP1 antibodies such as ab224550 have already revealed expression in diverse human tissues including testis, skeletal muscle, and stomach , suggesting tissue-specific roles beyond its known hepatic functions. Developmental expression analysis using immunohistochemistry on embryonic tissues can reveal temporal regulation patterns that may correlate with organogenesis or metabolic maturation. Such studies might clarify whether MID1IP1's role in lipogenesis is established early in development or emerges postnatally when dietary lipid processing becomes essential. Comparative analysis between tissues with high metabolic activity (liver, adipose tissue, skeletal muscle) versus low lipogenic tissues can highlight tissue-specific regulatory mechanisms. Additionally, examining MID1IP1 expression in specialized cell types within heterogeneous tissues (for example, hepatocytes versus stellate cells in liver) through co-staining with cell-type markers can reveal cell-specific functions. These expression studies can guide functional investigations by identifying previously unrecognized sites of MID1IP1 activity and potential novel roles beyond lipid metabolism, such as in embryonic development (suggested by its alternative name as a gastrulation-specific protein) or in specialized cellular structures related to its microtubule-stabilizing function .
Designing experiments to investigate MID1IP1's interaction with ACACA requires a multi-faceted antibody-based approach. Begin with co-immunoprecipitation (co-IP) experiments using a validated MID1IP1 antibody like ab276070 to pull down protein complexes from liver cell lysates or tissues, followed by Western blotting for ACACA. Perform reciprocal co-IP with ACACA antibodies and blot for MID1IP1 to confirm the interaction. For more stringent validation, conduct proximity ligation assays (PLA) which can detect protein interactions in situ with high sensitivity and specificity. This method combines primary antibodies against both proteins with oligonucleotide-linked secondary antibodies that generate fluorescent signals only when proteins are in close proximity (<40 nm). Immunofluorescence co-localization studies with high-resolution confocal or super-resolution microscopy can reveal spatial relationships between these proteins, particularly under different metabolic conditions (e.g., fasting versus fed states). To investigate the functional consequences of this interaction, design experiments that manipulate MID1IP1 levels (overexpression or knockdown) and assess ACACA activity using biochemical assays, coupled with immunoblotting to track changes in ACACA phosphorylation status. Additionally, in vitro binding assays using recombinant proteins can determine whether the interaction is direct or requires additional factors, complementing the antibody-based cellular approaches.
Using MID1IP1 antibodies in flow cytometry applications requires careful consideration of several technical factors due to MID1IP1's predominantly intracellular localization. First, select an antibody specifically validated for flow cytometry or intracellular staining applications—while the current literature doesn't specifically mention flow cytometry validation for available MID1IP1 antibodies, monoclonal antibodies like ab276070 that work well in ICC may be good candidates. Cell fixation and permeabilization protocols are critical; start with 4% paraformaldehyde fixation followed by permeabilization with 0.1% Triton X-100 or saponin-based buffers, similar to protocols that have worked for immunofluorescence . Titrate antibody concentrations carefully to determine optimal signal-to-noise ratios. Include appropriate controls: isotype controls to establish background staining levels, positive controls using cell types known to express high MID1IP1 levels (hepatocytes), and negative controls such as cells treated with MID1IP1 siRNA. For multi-parameter analysis, consider MID1IP1's co-expression with metabolic markers or other lipogenic enzymes. Since MID1IP1 expression may vary with metabolic state, standardize cell culture conditions or animal treatment protocols before analysis. Finally, for quantitative comparisons across samples, use appropriate normalization methods such as mean fluorescence intensity (MFI) ratios relative to isotype controls, and validate flow cytometry findings with complementary techniques like Western blotting to confirm specificity.
Emerging applications of MID1IP1 antibodies extend well beyond traditional Western blotting and immunohistochemistry techniques, opening new avenues for understanding this protein's complex biological roles. Advanced imaging applications such as super-resolution microscopy and live-cell imaging with immunofluorescence-compatible MID1IP1 antibodies can reveal previously undetectable details about its subcellular localization and dynamic interactions with microtubules and lipid droplets. Chromatin immunoprecipitation sequencing (ChIP-seq) approaches, though not yet widely reported with MID1IP1 antibodies, could investigate potential nuclear roles and transcriptional regulatory functions. Single-cell proteomics utilizing antibody-based detection methods may uncover cell-to-cell variability in MID1IP1 expression within tissues, providing insights into cellular heterogeneity in metabolic responses. In clinical research, tissue microarray analysis with MID1IP1 antibodies could evaluate its potential as a biomarker for metabolic disorders or certain cancers. Additionally, antibody-drug conjugates targeting MID1IP1 might be explored for delivering therapeutics to cells with aberrant lipid metabolism. Mass cytometry (CyTOF) using metal-conjugated MID1IP1 antibodies would allow simultaneous measurement of dozens of parameters in single cells. These emerging techniques, when combined with the growing understanding of MID1IP1's functions in lipid metabolism and microtubule stabilization , will likely reveal new biological insights and potential therapeutic applications.
Future developments in antibody technology will substantially enhance MID1IP1 research through several innovative approaches. Recombinant antibody engineering will likely produce high-affinity, highly specific MID1IP1 antibodies with reduced batch-to-batch variability compared to traditional polyclonal antibodies . Single-domain antibodies (nanobodies) against MID1IP1, derived from camelid antibodies, could offer superior tissue penetration and access to conformational epitopes that conventional antibodies cannot reach. These smaller antibody formats would be particularly valuable for super-resolution microscopy to precisely localize MID1IP1 within subcellular structures. Bispecific antibodies simultaneously targeting MID1IP1 and interaction partners like ACACA would enable direct visualization of protein complexes in situ. Advances in antibody conjugation chemistry will facilitate the development of multiplexed detection systems where multiple epitopes of MID1IP1 and related proteins can be simultaneously visualized in the same sample. Proximity-based antibody technologies, such as split-fluorescent protein complementation or FRET-based biosensors incorporating MID1IP1 antibody fragments, would allow real-time monitoring of protein interactions in living cells. Additionally, the integration of artificial intelligence in antibody design could predict optimal epitopes for generating antibodies against previously challenging regions of MID1IP1. These technological advances will collectively enhance our ability to study MID1IP1's dynamic behavior, interactions, and functions with unprecedented spatial and temporal resolution.