How do I search, filter, and review results on BenchSci?

Watch this short video series to jump-start your BenchSci experience

Welcome to BenchSci!

 

Transcript:

Welcome to BenchSci. Unlike any other platform that is currently available, BenchSci leverages cutting edge artificial intelligence algorithms to decode milllions of scientific publications empowering you to quickly find the best antibodies for your research. 

In BenchSci, you can search by protein target and review published figures and antibody products in the world’s largest available repository of commercial antibodies which is cross referenced with more than 9M open and closed access papers from publishers including Springer Nature, Wiley and PNAS. 

You can filter down these publication data and products by technique and 15 other options to save time by only reviewing the most relevant figures and products for your research that are presented without commercial bias. 

Together with our analyses showing you trends and antibody usage across the published literature, you can quickly make informed decisions about which antibodies are best for your experiments. 

If you have any questions or feedback, you can connect with us right in the in-app chat. We’d love to hear from you. 

The following two-part video tutorial will show you how to search through publication data and products and review the results to find the best antibody product for your specific experiment in minutes. Let’s get started!

Search and Filter

 

Transcript:

BenchSci is all cloud based so all you need to access it is a web browser and the internet. To create an account, go to benchsci.com and click the sign up free in the top right corner of the screen. Enter your institutional email address and create a secure password. 

Once you’ve logged in, you can find antibodies and their publication data by searching for a protein target, a clone ID, or a catalog number. For example, the protein PCNA. You can also specify additional experimental contexts like technique, post-translational modification, or tissue among others. You can do that here or with the filters in just a minute.

Then select an option from the drop down list. You can either select the generic term to see all the results for PCNA or you can select a species specific term which indicates the species of the immunogen or protein target. BenchSci has also prepared a proprietary alias database to include all the different ways that each protein target can be cited throughout the literature so that you can find all of the results in a single search. 

When you select your protein target, you’ll be brought to the figures results. These are figures from published scientific papers as well as vendors and 3rd party validators such as the Human Protein Atlas and Encode. The published figures can be sorted by either best match, publication date, or impact factor of the journal. However, there are still thousands of published figures here. So to quickly find only the most relevant data you can apply our two sets of filters to narrow down these results based on your specific experimental context. 

Our figure usage data filters narrow down the results based on how an antibody was used across the published literature. These include technique, organism in which the experiment was conducted, tissue, cell type, or cell line that was used in the experiment and disease context. 

For example, I’d use these filters if I was looking for an antibody to use in an immunohistochemistry experiment of liver tissue. The second set of filters allow you to narrow down the results based on product specifications that are indicated by the vendor. For example, reactivity in various species. You can select for reactivity to multiple species at once. Let’s say that for my experiment, I need an antibody to be reactive in both human and mouse. Furthermore, I need the antibody to be specific to the C-terminus of PCNA. This way you can narrow down the results to only the most relevant information in seconds. In the next video, you’ll see how to review these figures and the associated antibody results.

Review Results

 

Transcript:

To get more information about a figure, you can mouse over to view the publication information and you can click on it to view the figure legend. Here, you can open the full text of the publication, share it with your colleagues by email, add it to your favorites, or add it to a project folder. 

To the left of the figure, you can see the antibody that was used in the experiment which can also be shared and saved. You can also click on it to get more information about the product. Here in the antibody product page, you can view a combination of vendor data and BenchSci data or data we’ve collected and analyzed from the published literature. For example, BenchSci’s rainbow feature shows how a product was used in various techniques across the published literature. The product figures tab shows the figures from the published literature where this product was used and the target info tab includes bioinformatics on the protein target.

To view the price or purchase this product, you can scroll back up to the top of the page and click view in vendor site to link out directly to the vendor’s product page. If you want to review other figures or products for your experimental context, you can click back to search. This will land you in our products results which is adjacent to the figures results and includes the same set of filters. When a filter is applied, it applies across both the figures and products tabs so that you can switch between them easily while you search. 

The products results are listed according to the number of filtered figures matching your specific experimental context and this ranking will change as filters are applied or removed. You can click to see the filtered figures where this product specifically was used and the total number of figures for each antibody is indicated on the left. You can view the number of figures where this antibody was used in each technique by mousing over the technique tag. Product specifications such as reactivity, host, clonality, and clone ID are also indicated so that you can easily compare products from different vendors and their usage across the literature. BenchSci is vendor-agnostic allowing you to make unbiased, informed, data-driven decisions when choosing an antibody for your experiment. 

Thanks for watching. I hope you enjoy using BenchSci to find the best antibodies for your experiments.