Abstract
Lacking access to an affordable method of high throughput immunoblot analysis for daily use remains a big challenge for scientists worldwide. We proposed here Quantitative Dot Blot analysis (QDB) to meet this demand. With the defined linear range, QDB analysis fundamentally transforms traditional immunoblot method into a true quantitative assay. Its convenience in analyzing large number of samples also enables bench scientists to examine protein expression levels from multiple parameters. In addition, the small amount of sample lysates needed for analysis means significant saving in research sources and efforts. This method was evaluated at both cellular and tissue levels with unexpected observations otherwise would be hard to achieve using conventional immunoblot methods like Western blot analysis. Using QDB technique, we were able to observed an age-dependent significant alteration of CAPG protein expression level in TRAMP mice. We believe that the adoption of QDB analysis would have immediate impact on biological and biomedical research to provide much needed high-throughput information at protein level in this “Big Data” era.
Keywords: quantitative dot blot, high throughput, proteomics, immunoblot analysis, western blot
INTRODUCTION
Lacking of an accessible high throughput immun-oblot method significantly hinders any attempts to investigate the molecular basis of biological and pathological processes systematically in an average research lab. Until now, Western blot analysis remains the most commonly used immunoblot tool in the basic research lab almost 40 years since its invention [1–4]. However, its limitations, including complicated processing steps, limited ability to process many samples, ambiguity in result analysis and requirement of large amount of total protein lysate for analysis, determines this technique an unlike choice for high throughput analysis. As an alternative, Dot blot analysis was developed to simplify the process of Western blot analysis [5]. In fact, both enzyme-linked immunosorbent assay (ELISA) [6–8] and reverse phase protein microarray (RPPM) [9, 10] can be considered as Dot Blot analysis in a high throughput format. Nonetheless, the applications of these techniques are still limited in basic research lab for various reasons, including limited availability for prefabricated ELISA kits and lack of easy access to RPPMs.
Meanwhile, with the rapid development of effective high-throughput tools in genetic research, there are strong demands for complementary high throughput immunoblot methods on a daily basis for biomarker identification and other association studies at protein level [11, 12]. We have now developed a novel immunoblot method as convenient and robust as the traditional dot blot analysis, yet in high throughput format to meet this demand. We reasoned that achieving direct quantification of individual dots in the traditional dot blot analysis, rather than through an extra image conversion process, should significantly improve upon the traditional method. In order to achieve this goal, we have introduced a novel multi-unit plate in our analysis (Figure 1A), and named this method as Quantitative Dot Blot analysis (QDB), and the plate as QDB plate. The feasibility of this method was tested here at both cellular and tissue levels. Our results suggest that QDB analysis is able to produce reliable results with unprecedented efficiency and significant savings in research resources and efforts in an average research lab. It is also able to transform the current semi-quantitative immunoblot method into a true quantitative assay.
RESULTS AND DISCUSSION
The typical QDB process is illustrated in Figure 1B (a detailed instruction of QDB analysis was included as Supplementary Data). The samples are applied directly to the membrane bottom of the individual units. The loaded membrane is then processed through steps of traditional immunoblot analysis to form immunocomplexes on the membrane. At detection step, the QDB plate is developed through a chemiluminescence reaction, and a white microplate is used as support to accommodate QDB plate in a microplate reader for quantification. To ensure a valid result, the specificity of the applied antibodies needs to be verified through Western blot analysis.
The feasibility of QDB analysis was tested first by analyzing the tubulin content in mouse liver lysates. The specificity of a rabbit anti-tubulin antibody was evaluated in Figure 2A. For dose curve study, we serially diluted lysate from 0.01μg to 12 μg using pooled lysate prepared from 4 mouse livers. QDB analysis yields a linear curve between 0 to 1μg with coefficient of determination (R2) of 0.999 when simple linear regression analysis was performed (Figure 2B, upper panel). Beyond 1 μg, the signal started to reach plateau. In the same study, we could not detect visible signals until 1μg or more of lysate were used in Western blot analysis (Figure 2B, lower panel). Next, we evaluated the results from QDB analysis and Western blot analysis using individual mouse liver lysates prepared from 7 mice. The image from Western blot was quantified and compared with the result from QDB analysis. We were able to obtain R2 of 0.85 when simple linear regression analysis was performed on these two methods (Figure 2C). The inter- and intra-plate coefficient of variance (CV) of the QDB plate were also evaluated using the same antibody, with inter-plate CV at as lower as 4.37% and intra-plate CV at as lower as 5.19% (Supplementary Table 1). We also serially diluted samples prepared from mouse liver, and explored dose curves of several other antibodies. Our results showed that the linear range of the assay was highly dependent on the antibody per se. A further combination of biotin system and reporter enzyme could significantly increase the sensitivity of the assay. For most antibodies, over 20 fold of signal intensity over background can be detected when 0.25 μg to 2 μg sample lysates were used (Supplementary Figure 1).
Next, the feasibility of the QDB analysis was evaluated at cellular level by measuring the p65 (NF-κB p65 subunit) expression in stable clones from cells transfected with an RNAi plasmid against p65. We generated p65 stable clones by screening HEK293 cells transfected with a ShRNA plasmid against p65 (ShRNA-p65). Luciferase clones were generated using ShRNA-luciferase as negative controls. Total of 76 clones (71 p65 clones and 5 luciferase clones) were isolated after antibiotic selection.
The specificity and the application range of an anti-p65 antibody were evaluated in Figure 3A using whole cell lysate prepared from HEK293 cells. Next, the QDB analyses of the expression levels of both p65 and tubulin were evaluated, and the relative p65 expression level was determined by normalizing the p65 expression level of each p65 clone with its matching tubulin level. For comparison purpose, the average of the relative p65 levels of 5 luciferase clones was arbitrary set to 1, and the relative p65 level of each p65 clone was adjusted accordingly. As shown in Figure 3B, collectively, the p65 expression level showed significant difference between luciferase clones and p65 clones (p< 0.05 using student t-test). A detailed examination of the relative p65 expression level of each individual clone showed that while p65 expression levels were relative constant among the 5 luciferase clones, they displayed a wide range distribution among in p65 clones (Figure 3C). Interestingly, the q-q plot analysis indicated that the p65 expression levels followed a normal distribution at population level (Figure 3D). To the best of our knowledge, this is the first evaluation of cellular response to RNAi exposure at population level.
Currently, Western blot analysis is the most frequently used method for screening stable clones. However, screening of 76 clones in triplicate using Western blot analysis would be a formidable task. Therefore, we benchmarked our QDB result with that of Western blot analysis by picking 11 representative clones. These clones were allowed to grow to sufficient number of cells to provide enough amounts of total cell lysates for Western blot analysis. Our results indicated a high consistency between these two methods (Figure 3E).
It is worthy of mentioning that the advantage of QDB analysis over traditional immunoblot analysis is clearly demonstrated in this study. Traditionally, the picked clones needs to allow to grow at least 4 to 5 days either in 6 well plates or 60mm dishes before sufficient cell numbers can be reached to perform any immunoblot analyses. In contrast, the QDB analysis can be performed directly in 96 well plates after the isolation step to identify the target clones.
It is also conceivable that with QDB analysis, a lot of cellular studies can be performed conveniently with less time and resources when multi-well plates, rather than tissue culture dishes and flasks, are used in the research. For reference, we measured the yield of total protein amount from individual well of different types of multi-well plates using HEK293 cells. Indeed, more than 10 μg total cell lysate can be obtained from a single well of a 96 well plate, which could translate into 10 independent QDB analyses (Supplementary Table 2).
Next, the QDB method was evaluated at tissue level by investigating the protein profile of Macrophage-capping protein (CAPG) in prostates from Transgenic Adenocarcinoma of the Mouse Prostate (TRAMP) mice and their wild type littermates (WT). CAPG is a protein involved in the metastasis of tumors, including prostate cancer [13–15]. After establishing the specificity and application range of the anti-CAPG antibody in QDB analysis (Figure 4A), we performed a pilot experiment to benchmark our analyses of the relative CAPG expression level (normalized against the tubulin expression level) against Western blot analysis in mouse prostate tissue (Figure 4B). Indeed, we were able to obtain R2 of 0.96 with simple linear regression analysis of these two methods (Supplementary Figure 2). To measure absolute amount of CAPG in mouse prostate tissue, a dose curve was established using recombinant CAPG protein directly with R2 at 0.994 in simple linear regression analysis (Supplementary Figure 3). Based on this dose curve, we were able to establish the linear range of this assay from 3 pg to 600 pg. CAPG amount of samples from several mouse prostate tissues were determined in the same QDB analysis based on this established dose curve (Figure 4C).
A large scale QDB analysis (n=87, with 40 WT and 47 TRAMP mice) of samples prepared from prostate tissues were performed, and the relative CAPG levels were compared between WT and TRAMP mice (Supplementary Figure 4). We were unable to observe any statistical differences in CAPG expression between these two groups collectively either based on the relative tubulin level (p=0.6766, Supplementary Figure 4A) or by absolute protein amount measured by BCA method (p=0.6959, Supplementary Figure 4B). However, when stratified with age, we were able to observe substantial variations of relative CAPG levels within both WT and TRAMP mice based on tubulin content. In addition, the relative CAPG level was age-dependent, with its expression level lowered in older mice. The overall profile of relative CAPG levels between WT and TRAMP group is also quite different from each other (Figure 4D).
These observations prompt us to further analyze our results by age group. As expected, the relative CAPG level of TRAMP mice was significantly higher at 12 weeks (p<0.05), and significantly lower at 16-18 weeks (p<0.01) compared to their WT littermates (Figure 4E). Our results thus demonstrate an age-dependent CAPG expression profiles with clear distinction between WT and TRAMP mice. While the biological significance of these results remains to be explored, technically these results would be hard to achieve with Western blot analysis alone. The substantial variations of CAPG level within each group also emphasizes the necessity of including more samples to better reflect and understand the complicated biological processes at protein level in animal and human studies.
Through these studies, we present a high throughput immunoblot method with the necessary qualities to be adopted in the research lab instantly. Maybe more importantly, we are able to transform the traditional immunoblot analysis into a true quantitative assay. The combined efforts to define the linear range of the assay by serial dilution of the sample and to direct quantify the signal through machine reading in QDB analysis also allow us to eliminate the ambiguity and bias associated with the image-conversion process in traditional immunoblot techniques.
QDB analysis can be ready transformed into an ELISA analysis when the purified protein, rather than the serially diluted sample is used to define the linear range of the analysis. The adoption of nitrocellulose membrane as the binding surface in QDB analysis significantly improves the binding capacity while reduces the background of the analysis for this method to be readily adopted in the research lab. In contrast, although ELISA is a quantitative high throughput method, the extensive developing efforts and costs prevent its routine application in the research lab.
QDB is distinct from traditional high throughput immunoblot techniques like ELISAs and RPPAs in multiple aspects. Compared with ELISAs, QDB method is more flexible and convenient. It requires less developing efforts and is easily adapted to samples from any new sources. In contrast, the validity of ELISA analysis is limited to sample from tested sources. Nonetheless, high quality ELISA kits had been subjected to strict and consistent pre-testing before they are available to the market. The sandwich-type ELISAs also have clear advantage in analyzing samples containing a lot of endogenous antibodies like plasma samples.
On the other hand, RPPAs has clear advantage when the total amount of samples is limited. It is also more convenient to process RPPA slides than QDB plates. Clearly, RPPAs have more advantage in analyzing complex signaling transduction pathways than QDB method. However, the requirements of sophisticated equipment and well-trained technicians in RPPA limit its accessibility to ordinary scientists. The semi-quantitative nature of RPPA analysis also demands further verification of its results independently. In fact, QDB method complements RPPAs well in this regard.
As demonstrated above, the QDB analysis is a convenient, affordable, versatile, quantitative, reliable and robust method. With its reliability and accuracy and its significant saving in research resources, we believe that this technique will find its application in many areas of biological and biomedical research including association studies at protein level. The adoption of this method may have an immediate impact on life science research with a lot more to promise in the near future.
MATERIALS AND METHODS
Reagents and animals
All general reagents for cell culture related work were purchased from Thermo Fisher Scientifics (Waltham, MA, USA) including cell culture medium and culture dishes. HEK293 cells were purchased from the Cell Bank of Chinese Academy of Sciences, Shanghai, China. QDB plate was manufactured by Yantai Zestern Biotechnique Co. Ltd, in Yantai, China. The protease inhibitors were purchased from Sigma Aldrich (St. Louis, MO, USA). All other chemicals were purchased from Sinopharm Chemicals (Beijing, P. R. China). Pierce BCA protein assay kit was purchased from Thermo Fisher Scientifics (Waltham, MA, USA). Recombinant human CAPG protein (14213-HNAE) was purchased from Sino Biological Inc. (Beijing, P. R. China).
Mouse Strains
TRAMP mice and their wild type littermates were purchased from Jackson Laboratory (www.jax.org). These mice were from a C57BL/6 origin and obtained from C57- x C57-matings. Animals were supported under a 12/12 hours light-dark cycle with natural drink and food. All animal procedures were approved by the ethical review board of Binzhou Medical University (ER #2016-19). The genotype of animals and confirmation of tumorigenesis were described elsewhere [16, 17].
Antibodies
Rabbit anti-tubulin (YT-0183), rabbit anti-ApoE (YT-0273) antibodies were purchased from Immunoway, Suzhou, P. R. China, Rabbit anti-p65 (SC-372, C20, F0414), Rabbit anti-CDK4 (sc-260, c22, A0314) were purchased from Santa Cruz Biotechnology, Inc. (Santa Cruz, CA, USA). Rabbit anti-CAPG (14213-T52), rabbit anti-ANXA6 (11161-T60), and rabbit anti-CALR (13539-T60) were purchased from Sino Biologic Inc. Beijing, P. R. China.
Generation and Screening of stable clones
For construction of constitutive expressed RNA interference (RNAi) constructs, pGreenpuro plasmid from System Biosciences Inc. (Palo Alto, CA, USA) was used by following the manufacturer's instructions using a targeting sequence 5’GGACATATGAGACCTTCAAGA 3′ against p65 to create ShRNA-p65 plasmid or target sequence 5’GTGCGTTGTTAGTACTAATCCTATTT3’ against luciferase to create ShRNA-Luciferase plasmid.
ShRNA-p65 and ShRNA-Luciferase plasmids were used to transfect HEK293 cells at 5×105/dish in two 60 mm dishes respectively using Fugene 6 transfection reagent by following manufacturer’ instructions. Cells were allowed to grow for two days in growth medium (DMEM medium supplemented with 10% fetal bovine serum) before they were changed into fresh selection medium (growth medium supplemented with 5μg/mL puromycin). The selection process continued by exchanging the selection medium every 3 to 4 days until visible clones could be seen with naked eyes. Individual clones were picked up by trypsin digestion using Cloning cylinder from Sigma, transferred to two parallel 96 well plates at 1:9 ratio, and labeled by the same clone number with plate A for 96 well plates with more cells, while B for those with less cells. The cells were allowed to growth 1 or 2 days in selection medium in plate A before total cell lysates were prepared by adding lysis buffer (50 mM Hepes, pH 7.4, 137 mM NaCl, 5 mM EDTA, 5 mM EGTA, 1 mM MgCl2, 10 mM Na2P2O7, 1% Triton X-100, 10% glycerol, supplemented with protease and phosphatase inhibitors (100 mM NaF, 0.1 mM phenylmethylsulfonyl fluoride, 5 μg/mL pepstatin, 10 μg/mL leupeptin, 5 μg/mL aprotinin) to the plate directly. Total cell lysates were prepared by collecting supernatant after 5 mins of centrifugation, and sample buffers were added directly to the supernatant for QDB analysis.
For plate B, representative clones based on the result from QDB analysis of plate A were transferred to two 60 mm dishes at 2 × 105/dish, and cells were allowed to growth 7 days in selection medium before they were harvested either for preparation of total cell lysate and measurement of protein concentration (see next section), or for storage in liquid nitrogen.
Cell and tissue extractions
For HEK293 cells, cells were harvested and lysed in lysis buffer by pipetting up and down 50 times. Supernatants were collected after 5 min of centrifugation at 8000 × g, and protein concentration was determined by using Pierce BCA protein assay kit from Thermo Fisher before they were resuspended in sample buffer for Western blot analysis. For preparing tissue lysates from mouse livers and prostates, tissues were sliced into microcentrifuge tubes pre-aliquoted with 300 mL lysis buffer with protease inhibitors. Tissues were minced with a handhold tissue homogenizer for 1 minute before the microcentrifuge tubes were subjected to centrifugation at 8000 × g for 5 mins. The supernatant from each tube was collected for measurement of protein content using Pierce BCA protein assay kit from Thermo Fisher and for Western blot analysis.
QDB analysis
Prepared total lysate from 0.1 μg up to 12 μg/unit, as indicated in the figure, was applied directly on individual membrane unit of the QDB plate. The plate was left either at 37°C for 15 mins or at room temperature for 45 mins to dry membrane completely. The plate was rinsed with TBST (137 mM NaCl, 2.7mM KCl, 20 mM Tris, pH7.4, plus 0.1% Tween-20) for 3 times, and blotted with blocking buffer (5% non-fat milk in TBST) in one container. The plate was incubated with primary antibody either overnight at 4°C or for 2 hour at room temperature in either one big container if the whole plate was blotted with same antibody, or into a 96 well plate with different antibodies in different wells. The plate was washed three times with TBST, and incubated again with the secondary antibody for 2 hour before the plate was washed again for three times with TBST. The plate was inserted into a 96 well plate loaded with 100 μL/well ECL substrate solution for 1 minute before it was inserted into a white 96 well plate for chemiluminescence signal quantification using a Tecan Infiniti 200 pro microplate reader with the option “plate with cover” chosen in the user interface.
To reduce the inter-plate variations using QDB method, we pooled a reference sample by mixture 4 or 5 samples together at equal amount, and serially diluted this reference sample. A dose curve based on this reference sample was repeated in every plate to be analyzed, and was used to adjust the readings of each sample in the same plate accordingly.
Statistical analysis
Data were presented as mean ± SEM, and analyzed with the two-tailed Student's t-test between two groups. The q-q plot was performed with SPSS v22.0 (IBM, Chicago, IL).
Note: Plates are available upon request for verification purpose either through email or visiting www.zestern.net.
SUPPLEMENTARY MATERIALS FIGURES AND TABLES
Acknowledgments
The authors would like to thank Yunyun Zhang and Jiahong Lu from Yantai Zestern Biotechnique Co. LTD for excellent technical work, Shuping Zhang, Wenguo Jiang, and Xiaodan Wei from Binzhou Medical University for helpful discussions, Min Li and Yuan Zhang from Binzhou Medical University for technical assistance.
Abbreviations
- QDB
Quantitative dot blot analysis
- ELISA
enzyme-linked immunosorbent assay
- RPPM
reverse phase protein microarray
- RNAi
RNA interference
- CV
coefficient of variance
- ShRNA-p65
ShRNA plasmid against p65
- CAPG
capping protein
- TRAMP
TRansgenic Adenocarcinoma of the Mouse Prostate
- WT
type littermates
Author contributions
F.T., G.T., W.Z. performed the experiments; G.T., F.T.,C.Y., J.M., and J.Z analyzed data; G.T., J. B., J. M. and J. Z. wrote the manuscript; B.W., J. M., and J. Z. supervised the study; J.M., J.Z. designed the experiments; and J. Z. conceived and designed the project.
CONFLICTS OF INTEREST
F.T., W.Z., and J.Z. declare conflicts of interests, and J.Z. has filed patent applications. J.Z. is the founders of Yantai Zestern Biotechnique Co. LTD, a startup company with interest to commercialize the QDB technique and QDB plate.
FUNDING
This work is supported by Taishan Scholars Construction Engineering (G.T.), The Shandong Excellent Young Scientist Award (ZR2016JL026 to G. T.), National Natural Science Foundation of China (81400771, 31671139), Shandong provincial natural science foundation (ZR2014HL073), Shandong provincial science and technology Plan(J14LE01 and J15LK03), Yantai science and technology plan(2015ZH083) and Binzhou Medical University Scientific Research Funds (BY2013KYQD14, BY2013KYQD17, BY2013KYQD18), the Swedish Research Council grant 621-2011-4423 and 2015-4870. This work is also sponsored by “Yantai Double Hundred Talent Plan” and “Yantai Hi-Tech Zone Blue Ocean Talent Plan”.
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