Unlock Powerful Proteomic Data Analysis
Whitepaper
Published: October 22, 2024
Credit: Thermo Fisher Scientific
Proteomics research generates vast amounts of complex data, demanding advanced tools for effective management and analysis. Traditional methods struggle to keep up with the increasing data throughput and the need for collaboration across large teams. With the right platform, researchers can streamline workflows, reduce errors and improve productivity, ensuring no insights are lost. This whitepaper explores how automated data management and integrated tools can revolutionize proteomics by simplifying workflows and enhancing data accessibility.Download this whitepaper to discover:
How centralized platforms streamline proteomics data management Ways automation accelerates data analysis and improves collaboration Strategies for managing user access and protecting sensitive data
Unlock the future
of proteomics
Ardia Platform
Software
Over the years, the
throughput, sensitivity,
and sophistication of
mass spectrometers have
improved dramatically,
producing results
with increasingly rich
biological information for
proteomics datasets.
We are collecting more
and more meaningful
data, but with this comes
new challenges around
data management,
security, throughput,
and collaboration.
The Thermo Scientific™
Ardia™ Platform brings
together scientific data and
results into a centralized
location, enabling users
to interface intuitively with
data, set up automated
processing, and easily share
results with colleagues
and collaborators.
Power your data analysis
with the platform that brings
your data, instruments,
and applications together
to deliver the future of
proteomics workflows.
Solving the proteomics
data challenges
Unlock the power of centralized
data management
Recent generations of analytical instruments, such as the Thermo Scientific™
Orbitrap™ Astral™ Mass Spectrometer, produce substantially more data than their
predecessors, posing new data-management challenges for laboratories.
To meet the demands of ever-increasing scientific information, the Ardia
Platform provides your laboratory with single-point data storage and automated
file transfer, enhancing data accessibility and preventing unnecessary data
duplication. Built-in backup and archive functionality provides resilience
against data loss with easy recovery or retrieval in case of disaster or
additional investigations.
Efficiency redefined
Remove the complexities of managing data scattered across various systems and
locations. The Ardia Platform integrates with a growing list of software tools and
applications for direct data access. For third-party applications that are not yet
connected, you can eliminate time-consuming manual processes with automated
data transfers to and from your repository via the Ardia Platform’s Data Sync tool.
The Ardia Platform revolutionizes mass spectrometry (MS) applications
by connecting data, instruments, and a growing list of software tools and
applications to accelerate project timelines and drive innovation.
Learn more >
Accelerate discovery with collaboration on a shared platform
Collaborate with peers and easily view, process, and share data and other related information on cooperative
study initiatives from anywhere. Real-time data updates, shared dashboards, and collaborative tools facilitate
efficient teamwork and help accelerate project timelines.
User management made simple
Amid growing concerns over data security and privacy, you get access-controlled, secure, and audit-ready user
and role management capabilities. Customizable to your organization’s unique requirements, you can provide
access to essential services and files on an individual or role basis. Designate specific folders to share with
collaborators via the Ardia Platform’s Data Explorer and Data Sync tools.
The Ardia Platform enables controlled access to data. Define privileges for which user actions can be
performed within the platform and control access to data using a role-based approach.
Data throughput
With proteomics studies
becoming increasingly
large and throughput ever
increasing, the flexibility
and throughput of the
corresponding data analysis
software must be advanced
accordingly. This challenge
is further amplified in larger
laboratories or collaborative
settings where multiple
instruments are generating
data simultaneously for a
given study.
Designed to tackle the
complexities of proteomics
sample throughput by
harnessing the power of
parallelization and optimizing
the algorithm efficiency, the
Ardia Platform, combined
with Thermo Scientific™
Proteome Discoverer™
software, significantly
boosts data analysis
throughput, allowing
researchers to extract
insights from their data
with unprecedented speed
and precision.
Automate data processing to
deliver results faster
Automatic data transfer
Data collection Ardia Platform Data processing
Automated data
transfer and processing
Orbitrap Astral MS
(optional)
(optional)
Connect to Ardia Platform Configure automated processing
Select from published analysis methods
Learn more >
With streamlined proteomics analysis, data is acquired and automatically uploaded
to the Ardia Platform. The data is subsequently processed in Proteome Discoverer
software and results are automatically sent back to the platform for secure storage.
To set up the automation process, users have the simple task of indicating
before submitting an acquisition request to publish the data to the Ardia
Platform and choose the methods to use for data processing within Proteome
Discoverer software.
Proteome Discoverer software powered by
the Ardia Platform
Reap the benefits of an integrated workflow to improve productivity and faster
time-to-results with automated transfer, processing, and storage of data. When
Thermo Scientific™ Xcalibur™ and Proteome Discoverer software are connected
to the Ardia Platform, you can automatically process data files as soon as they
are acquired.
This automation capability is not restricted to any workflow or acquisition
method. Diverse proteomics workflows can be automated, including
data-independent (DIA), data-dependent (DDA), wide window DDA, label-free
quantification (LFQ), Thermo Scientific™ Tandem Mass Tag™ (TMT™) studies,
SILAC, MS1-based label-free quantitation, and cross-linked peptide ID.
In proteomic applications, there is a common need for extensive bioinformatics algorithms to convert MS data
to biological context. In partnership with MSAID, we have developed two algorithms, the INFERYS™ algorithm,
a deep machine-learning algorithm that accurately predicts peptide fragmentation, and the CHIMERYS™
Intelligent Search Algorithm, which deconvolutes and quantifies chimeric MS/MS spectra for DDA, wide window
DDA, and DIA analysis.
Previously only available as a cloud service, the CHIMERYS algorithm can now be locally installed on the
Thermo Scientific™ Ardia™ Advanced Tower Server. This setup enables multiple users to access the local
version, eliminating the need for multiple licenses and data transmission to the cloud. Moreover, the annual
recurring cost associated with the cloud-based CHIMERYS algorithm is eliminated.
Unlock unparalleled processing power
With the CHIMERYS algorithm on the Ardia Platform server, 20 concurrent analyses from multiple client PCs
can be processed, delivering 10 times more capacity than the highest-capacity cloud service.
Time
Data transfer Data processing
Multi-consensus
report
Current data processing
With Ardia Platform automation
Manual copy files/processing start
dependent on user availability
Simultaneous
analysis of up to 20 files
Data acquisition
CHIMERYS algorithm on the Ardia Platform server
Visual representation of the Ardia Platform design, demonstrating how multi-stream multitasking of
processes enhanced with automation functions reduces wait time and increases data analysis throughput.
The automated processing for
larger datasets saves about half of
the time compared to traditional
linear methods.
Flexible workflows
Proteins are intricate
molecules, which
necessitate diverse
techniques for their
identification and
characterization. Proteome
Discoverer software excels
in this realm, offering a
comprehensive solution for
analyzing complex protein
MS data.
Its versatile workflow‑based
system seamlessly
handles datasets with
various MSn levels and
multiple identification
strategies, encompassing
DIA, DDA, SILAC, and
TMT-based quantification.
With a range of protein
identification methods
covering peptides,
post‑translational
modification, and
proteoforms, you can
eliminate the need for
multiple software platforms
to fully characterize protein
and proteomics samples.
Providing solutions for all your
proteomics workflows
Learn more >
Powerful protein characterization using
customizable workflows
The powerful workflow system of Proteome Discoverer software features a
node-based architecture, enabling connections in linear or branched pathways
to enhance the extraction of insights from proteomics datasets, while providing
automated processing capabilities. New users can effortlessly deploy predefined
workflows, while advanced users can customize workflows to analyze intricate
proteomics datasets with ease.
The workflow system is easily extensible, allowing for rapid development of
new nodes. We have several collaborations with third parties that develop
nodes for the platform, including the XlinkX nodes for cross-linked peptide ID,
Thermo Scientific™ ProSightPD™ nodes for top-down proteoform identification
and characterization, and the IMP-ptmRS node for PTM site localization.
Study management for statistical analysis
of large datasets
Performing complex proteomics experiments requires the ability to map data
files to experimental study conditions for statistical comparison. Proteome
Discoverer studies allow selection of data files, association of the data files with
a quantification method, the creation of experimental variables as study factors,
and the mapping of study factors to data files and quantification channels. Each
data file or collection of fractionated data files can be mapped to one or more
study factors and then used to perform comparative and statistical analyses.
Spectra are streamed from the top of the workflow and pass through nodes that
perform filtering, peptide ID, quantification, FDR calculation, grouping, and more.
Powerful visualization tools for analysis of results
Statistical analysis and visualization tools allow for rapid filtering, visualization, and
interpretation of results. LFQ results include chromatograms, principal components analysis
(PCA) plots, heat maps, quantification channel charts, user-defined plots, and more.
Quantification channel charts can quickly display changes for a given peptide or protein group
across different experimental variables in tandem with chromatogram traces to visualize the
detected peaks across all conditions.
Complex datasets in applications with samples containing diverse protein expression, such as
single-cell proteomics, can be quickly visualized using multivariate tools such as PCA plots and
hierarchical clustering heat maps. These interactive plots simplify the selection and filtering of
peptides or proteins that differentiate groups, aiding in tasks like classifying different cell types
in single-cell proteomics data.
Discover how you can confidently and efficiently interpret your data with integrated statistical
and visualization tools for a faster time to meaningful results.
Proteome Discoverer software
enables the creation and mapping
of sample types, study factors, and
quantification channels to data
files for simplified and integrated
study management.
Proteome Discoverer
software provides
interactive plots and
customizable layouts for
validation, statistics, and
bioinformatics analysis.
General Laboratory Equipment – Not For Diagnostic Procedures. © 2024 Thermo Fisher Scientific Inc. All rights reserved. All
trademarks are the property of Thermo Fisher Scientific and its subsidiaries unless otherwise specified. CHIMERYS and INFERYS are
trademarks of MSAID GmBH. COL36112 | BR002950 0624A
Learn more at thermofisher.com/ardia