KEY TO HIGH QUALITY BIOMARKER DATA ARE WELL TREATED SAMPLES
With Chipcytometry, you can analyze an virtually unlimited number of biomarkers on a single tissue- or cell suspension sample [Analysis].
The better the quality of the sample source (like blood or fresh frozen tissues) and the more gentle the sample preparation procedure, the better the biomarker data quality. Ideally, samples should be prepared on-site and then preserved and/or shipped in a way that protects all kinds of biomarkers from degradation during storage.
At Zellkraftwerk, we have developed reagents, methods and hardware to provide our customers with a revolutionary new way for controlled, long-term biobanking of cells and tissue sections with unprecedented preservation of biomarkers – ZellSafe chips. Samples can be easily prepared and preserved on those chips even in remote locations and stored/shipped for centralized analysis in a controlled way without significant degradation of biomarkers.
SAMPLES ARE PRESERVED FOR A LONG TIME ON ZELLSAFE BIOREPOSITORIES
ZellSafe chips are small biorepositories with standardized connectors that can be handled by technicians/study nurses as well as by pipetting robots. Cell suspensions and tissue sections are prepared and deposited inside those biorepositories following standard operating procedures [SOP].
The samples are immobilzed on the chip surface and biomarker degradation is stopped for long term storage by adding fixatives. We offer a growing range of ZellSafe chips to meet your needs of different cell and tissue types:
WATCH THE SIMPLE LOADING PROCEDURES OF ZELLSAFE BIOREPOSITORIES
WE CALL IT TrueBiobanking
When looking at the biomarker preservation data of our ZellSafe biorepositories, it turns out that cells and tissues stay intact and virtually no cell is lost during at least 24 month of storage, and only max 5% of biomarkers are lost during this period when compared to day 0. This is a world record – and therefore, we call it TrueBiobanking.
Loss of material or biomarkers after 2 years of storage
Source: Zellkraftwerk, Christian Hennig
To get your samples analysed within a short time and with a maximum number of biomarkers, parallel analysis is theoretically the fastest way. However, the more biomarkers are analysed at the same time, the bigger the problems of antibody-antibody, antibody-dye and dye-dye (e.g., agglomerate formation or spillover) interactions within the cocktails gets. This might lead to a very long setup time of new cocktails or even to impossible-to -combine marker combinations. On the other hand, serial analysis of single markers (one-by-one) needs no setup time, but is much slower. As a compromise, we introduce mixed serial-parallel measurement:
Only max 5-plex assays are developed and validated. This should not take longer than 1 week. Each of these 5-plex assays can afterwards be combined with each other and stained in a serial approach (one-by-one).
In this application note, we describe how to set up such multicolor cocktails:
As a consequence of sample storage capabilities (no ad-hoc analysis necessary) and assay development, the workflow in Chipcytometry differs from flow cytometry:
1. The chronological separation of sample acquisition and analysis time point allows valid, controlled sending of samples and centralized analysis even with world-wide sample acquisition.
2. In a screening phase, samples can be tested with a virtually unlimited number of markers using the serial single color approach with very low setup time.
3.+4. Throughput can be increased later by using serial analysis of 5plex assays and/or usage of switch-antibodies that do not require bleaching of remaining fluorescence [on request].
Generated data is worthless without knowledge about how the data was generated, what the data points mean and how data was transformed after initial acquisition. Reuse, sharing, and comparison of datasets is impossible without access to accompanying metadata. Therefore, Zellkraftwerk has integrated complete metadata recording for ALL processes from sample preparation through storage and analysis to data processing. Based on principles of the semantic web and ontologies, we developed a description language (EDL – experiment description language) that records every object and process involved in Chipcytometry. This is useful in a number of situations:
ANALYZING A 37-PLEX DATA SET