Aileen Bahl
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View article: Towards characterization of cell culture conditions for reliable proteomic analysis: in vitro studies on A549, differentiated THP-1, and NR8383 cell lines
Towards characterization of cell culture conditions for reliable proteomic analysis: in vitro studies on A549, differentiated THP-1, and NR8383 cell lines Open
Proteomic investigations result in high dimensional datasets, but integration or comparison of different studies is hampered by high variances due to different experimental setups. In addition, cell culture conditions can have a huge impac…
View article: Bioinformatics and machine learning to support nanomaterial grouping
Bioinformatics and machine learning to support nanomaterial grouping Open
Nanomaterials (NMs) offer plenty of novel functionalities. Moreover, their physicochemical properties can be fine-tuned to meet the needs of specific applications, leading to virtually unlimited numbers of NM variants. Hence, efficient haz…
View article: Meta‐Analysis of Integrated Proteomic and Transcriptomic Data Discerns Structure–Activity Relationship of Carbon Materials with Different Morphologies
Meta‐Analysis of Integrated Proteomic and Transcriptomic Data Discerns Structure–Activity Relationship of Carbon Materials with Different Morphologies Open
The Fiber Pathogenicity Paradigm (FPP) establishes connections between fiber structure, durability, and disease‐causing potential observed in materials like asbestos and synthetic fibers. While emerging nanofibers are anticipated to exhibi…
View article: A computational view on nanomaterial intrinsic and extrinsic features for nanosafety and sustainability
A computational view on nanomaterial intrinsic and extrinsic features for nanosafety and sustainability Open
View article: PROTEOMAS: a workflow enabling harmonized proteomic meta-analysis and proteomic signature mapping
PROTEOMAS: a workflow enabling harmonized proteomic meta-analysis and proteomic signature mapping Open
View article: Systems toxicology to advance human and environmental hazard assessment: A roadmap for advanced materials
Systems toxicology to advance human and environmental hazard assessment: A roadmap for advanced materials Open
View article: Nanomaterial categorization by surface reactivity: A case study comparing 35 materials with four different test methods
Nanomaterial categorization by surface reactivity: A case study comparing 35 materials with four different test methods Open
Nanomaterials (NMs) can be manufactured in plenty of variants differing in their physicochemical properties. Functional assays can be highly useful to cope with the enormous variability by supporting prioritization and categorization. Oxid…
View article: An in-depth multi-omics analysis in RLE-6TN rat alveolar epithelial cells allows for nanomaterial categorization
An in-depth multi-omics analysis in RLE-6TN rat alveolar epithelial cells allows for nanomaterial categorization Open
View article: Recursive feature elimination in random forest classification supports nanomaterial grouping
Recursive feature elimination in random forest classification supports nanomaterial grouping Open
Nanomaterials (NMs) can be produced in numerous different variants of the same chemical substance. An in-depth safety assessment for each variant by generating test data will simply not be feasible. Thus, NM grouping approaches that would …
View article: MOESM6 of An in-depth multi-omics analysis in RLE-6TN rat alveolar epithelial cells allows for nanomaterial categorization
MOESM6 of An in-depth multi-omics analysis in RLE-6TN rat alveolar epithelial cells allows for nanomaterial categorization Open
Additional file 6. To key drivers assigned GO terms of biological processes using the DAVID Bioinformatics Resources 6.8.
View article: MOESM4 of An in-depth multi-omics analysis in RLE-6TN rat alveolar epithelial cells allows for nanomaterial categorization
MOESM4 of An in-depth multi-omics analysis in RLE-6TN rat alveolar epithelial cells allows for nanomaterial categorization Open
Additional file 4. Summary of enriched pathways for each module.
View article: MOESM5 of An in-depth multi-omics analysis in RLE-6TN rat alveolar epithelial cells allows for nanomaterial categorization
MOESM5 of An in-depth multi-omics analysis in RLE-6TN rat alveolar epithelial cells allows for nanomaterial categorization Open
Additional file 5. Calculated module memberships and gene significances together with identified key drivers.
View article: MOESM3 of An in-depth multi-omics analysis in RLE-6TN rat alveolar epithelial cells allows for nanomaterial categorization
MOESM3 of An in-depth multi-omics analysis in RLE-6TN rat alveolar epithelial cells allows for nanomaterial categorization Open
Additional file 3. Lists of analytes and their assignment to the obtained modules.
View article: MOESM2 of An in-depth multi-omics analysis in RLE-6TN rat alveolar epithelial cells allows for nanomaterial categorization
MOESM2 of An in-depth multi-omics analysis in RLE-6TN rat alveolar epithelial cells allows for nanomaterial categorization Open
Additional file 2. Scaled data from proteomics and metabolomics that have been used for WGCNA.
View article: MOESM1 of An in-depth multi-omics analysis in RLE-6TN rat alveolar epithelial cells allows for nanomaterial categorization
MOESM1 of An in-depth multi-omics analysis in RLE-6TN rat alveolar epithelial cells allows for nanomaterial categorization Open
Additional file 1. FCs and p-values obtained from proteomics, metabolomics and SH2 profiling.