TotalLab is a specialist software developer for biotech, pharmaceuticals, and life science industries, boasting over 20 years of experience. TotalLab offers advanced software services for equipment manufacturers, bespoke solutions for life science companies, and off-the-shelf products to tackle scientific challenges, automate workflows, and enable FDA 21 CFR Part 11/GMP regulatory compliance. Totallab provides the following software:

Phoretix 1D Phoretix Array Phoretix Colony Phoretix Toolbox CLIQS 1D Pro SameSpots SpotMap
SameSpots2D

Overcoming common challenges in 2D Proteomics

SameSpots (previously Progenesis SameSpots) overcomes the common problems you face when using 2D gel electrophoresis proteomics work to identify differential protein expression analysis. These include a lack of reproducibility in your results, hours of tedious spot editing and a lack of confidence in the resulting statistical significance of protein expression changes.
SameSpots is simple to use and gives you fast, objective results for differential expression of intact proteins using 2-DE gels.
  • Simplicity. You are guided through each step of the workflow, new users can get up and running with minimal training.
  • Speed. Typical analysis times of less than 5 minutes per gel with single-stain or 2-DE DIGE images.
  • Objectivity. A consistent analysis approach that is proven to give reproducible results between different users.
  • Statistical power. Image alignment delivers 100% matching with no missing values in your data for valid multivariate statistics.
If any quality issues are detected with your images prior to analysis, you also have the opportunity within the system to make minor changes, without changing the original image. This includes flipping images horizontally and vertically, rotating images 90° clockwise or anticlockwise, inverting the image and cropping the image.

Next-generation automated algorithms produce more accurate results, quicker

SameSpots uses a next-generation alignment-based approach to overcome positional variation introduced during the running and imaging of 2D gels which would typically prevent accurate comparison across multiple gels in large-scale proteomic experiments. These algorithms guarantee 100% matching of all spots with no missing values like those experienced in older pieces of 2D analysis software.
The software then uses intelligent automation to automatically detect all of your protein spots and copy a single spot pattern across all images which ensures a high degree of analytical objectivity and reproducibility as well as eliminating laborious spot editing typical to other pieces of spot-matching software.
Due to the automated workflow, the software is simple-to-use and easy-to-train on – typically taking less than 2 hours for a new user to become fully trained and ready to produce accurate results. Our advanced automation also means that the analysis of a full dataset of images (usually up to 24 images) typically takes less than an hour.

Built-in Multivariate Statistical Analysis and Reporting Tools

Samespots is adaptable to your original experimental design, meaning you can perform full image and statistical analysis of your 2D proteomic studies within the same piece of software. This produces a comprehensive report that highlights to users when significant changes in protein expression are observed.
Samespots currently supports the following types of experimental design and associated statistical analysis:

 Between-subject Design (one-way ANOVA)
Do samples from your subject appear in only one condition (for example, only in a control group)?
Samples are grouped according to experimental condition (defined by the user) and an ANOVA test is performed to identify any significant changes in protein expression between those groups. The ANOVA calculation assumes that the conditions are independent and therefore gives a statistical test of whether the means of every single spot within all conditions is equal.
 Within-subject Design (repeated measures ANOVA)
Have you taken samples from a given subject under different conditions?
This specialist repeated ANOVA test allows the user to tell the software what experimental condition the sample came from along with the unique subject that the sample came from, ideal for longitudinal experiments where every subject has been sampled at every time point.
 Two-way ANOVA Design
Do your samples from a given subject appear in two different conditions?
The two-way ANOVA allows users to determine whether the effect of one of your independent variables (e.g. drug treatment A) on your dependent variable (e.g. protein expression) is the same for all values of your other independent variable (e.g. drug treatment B) and vice versa. This enables large scale clinical proteomic work to be performed between different drug treatment profiles and their effects on biomarker expression (significant or not).
Our software is regularly used in agricultural proteomics so the above studies can also be applied to testing variables such as genetically modified seeds, disease resistance, plant supplements etc.

Delivering confidence in your 2D gel electrophoresis image analysis

The software is easy to use, with our experienced team providing you with a guided walkthrough of the workflow so you can quickly get to grips with the 2D gel electrophoresis image analysis software.
Once up and running, typical analysis takes just five minutes per gel with either single-stain or 2D DIGE images.
Quick tags can also be used: these are useful for quickly highlighting proteins that show significant changes in expression. Therefore, you can focus your attention on these ‘interesting’ spots for further analysis with mass spectrometry. You can also import protein identification from mass spectrometry, from databases such as MASCOT or your own custom-made databases, back into your 2-DE analysis and report alongside quantitative results.
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