Amanda Momenzadeh
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View article: Data-driven discovery of medication effects on blood glucose from electronic health records
Data-driven discovery of medication effects on blood glucose from electronic health records Open
Blood glucose (BG) in hospitalized patients is influenced by numerous clinical factors, including medications not traditionally associated with glycemic control. To better characterize these effects, we analyzed electronic health record da…
View article: Single-Cell Proteomics Using Mass Spectrometry.
Single-Cell Proteomics Using Mass Spectrometry. Open
Single-cell proteomics (SCP) is transforming our understanding of biological complexity by shifting from bulk proteomics, where signals are averaged over thousands of cells, to the proteome analysis of individual cells. This granular persp…
View article: Single Cell Proteomics Reveals Novel Cell Phenotypes in Marfan Mouse Aneurysm
Single Cell Proteomics Reveals Novel Cell Phenotypes in Marfan Mouse Aneurysm Open
Background Single-cell omics technology is a powerful tool in biomedical research. However, single cell proteomics has lagged due to an inability to amplify peptides in a similar fashion to nucleotide strings. Single cell proteomics is imp…
View article: Cell Storage Conditions Impact Single-Cell Proteomic Landscapes
Cell Storage Conditions Impact Single-Cell Proteomic Landscapes Open
Single cell transcriptomics (SCT) has revolutionized our understanding of cellular heterogeneity, yet the emergence of single cell proteomics (SCP) promises a more functional view of cellular dynamics. A challenge is that not all mass spec…
View article: Medications that Regulate Gastrointestinal Transit Influence Inpatient Blood Glucose
Medications that Regulate Gastrointestinal Transit Influence Inpatient Blood Glucose Open
Objective A multitude of factors affect a hospitalized individual’s blood glucose (BG), making BG difficult to predict and manage. Beyond medications well established to alter BG, such as beta-blockers, there are likely many medications wi…
View article: Cell Storage Conditions Impact Single-Cell Proteomic Landscapes
Cell Storage Conditions Impact Single-Cell Proteomic Landscapes Open
Single-cell transcriptomics (SCT) has revolutionized our understanding of cellular heterogeneity, yet the emergence of single-cell proteomics (SCP) promises a more functional view of cellular dynamics. A challenge is that not all mass spec…
View article: Comprehensive Overview of Bottom-Up Proteomics Using Mass Spectrometry
Comprehensive Overview of Bottom-Up Proteomics Using Mass Spectrometry Open
Proteomics is the large scale study of protein structure and function from biological systems through protein identification and quantification. "Shotgun proteomics" or "bottom-up proteomics" is the prevailing strategy, in which proteins a…
View article: Differentiation between descending thoracic aortic diseases using machine learning and plasma proteomic signatures
Differentiation between descending thoracic aortic diseases using machine learning and plasma proteomic signatures Open
Background Descending thoracic aortic aneurysms and dissections can go undetected until severe and catastrophic, and few clinical indices exist to screen for aneurysms or predict risk of dissection. Methods This study generated a plasma pr…
View article: Comprehensive Overview of Bottom-up Proteomics using Mass Spectrometry
Comprehensive Overview of Bottom-up Proteomics using Mass Spectrometry Open
Proteomics is the large scale study of protein structure and function from biological systems through protein identification and quantification. "Shotgun proteomics" or "bottom-up proteomics" is the prevailing strategy, in which proteins a…
View article: A Complete Workflow for High Throughput Human Single Skeletal Muscle Fiber Proteomics
A Complete Workflow for High Throughput Human Single Skeletal Muscle Fiber Proteomics Open
Skeletal muscle is a major regulatory tissue of whole-body metabolism and is composed of a diverse mixture of cell (fiber) types. Aging and several diseases differentially affect the various fiber types, and therefore, investigating the ch…
View article: Single-Injection Multi-Omics Analysis by Direct Infusion Mass Spectrometry
Single-Injection Multi-Omics Analysis by Direct Infusion Mass Spectrometry Open
Combined multi-omics analysis of proteomics, metabolomics, and lipidomics requires separate liquid chromatography–mass spectrometry (LC–MS), which limits throughput and increases costs, hindering the application of mass spectrometry-based …
View article: Differentiation between Descending Thoracic Aortic Diseases using Machine Learning and Plasma Proteomic Signatures
Differentiation between Descending Thoracic Aortic Diseases using Machine Learning and Plasma Proteomic Signatures Open
Background Descending thoracic aortic aneurysms and dissections can go undetected until severe and catastrophic, and few clinical indices exist to screen for aneurysms or predict risk of dissection. Methods This study generated a plasma pr…
View article: Complete Workflow for High Throughput Human Single Skeletal Muscle Fiber Proteomics
Complete Workflow for High Throughput Human Single Skeletal Muscle Fiber Proteomics Open
Skeletal muscle is a major regulatory tissue of whole-body metabolism and is composed of a diverse mixture of cell (fiber) types. Aging and several diseases differentially affect the various fiber types, and therefore, investigating the ch…
View article: Parallelization with Dual-Trap Single-Column Configuration Maximizes Throughput of Proteomic Analysis
Parallelization with Dual-Trap Single-Column Configuration Maximizes Throughput of Proteomic Analysis Open
Proteomic analysis on the scale that captures population and biological heterogeneity over hundreds to thousands of samples requires rapid mass spectrometry methods, which maximize instrument utilization (IU) and proteome coverage while ma…
View article: Bias or biology? Importance of model interpretation in machine learning studies from electronic health records
Bias or biology? Importance of model interpretation in machine learning studies from electronic health records Open
Objective The rate of diabetic complication progression varies across individuals and understanding factors that alter the rate of complication progression may uncover new clinical interventions for personalized diabetes management. Materi…
View article: Parallelization with Dual-Trap Single-Column Configuration Maximizes Throughput of Proteomic Analysis
Parallelization with Dual-Trap Single-Column Configuration Maximizes Throughput of Proteomic Analysis Open
Proteomic analysis on the scale that captures population and biological heterogeneity over hundreds to thousands of samples requires rapid mass spectrometry methods which maximize instrument utilization (IU) and proteome coverage while mai…
View article: Alternative Factor Prescribing after Low-Dose Recombinant Factor VIIa Protocol in Cardiac Surgery
Alternative Factor Prescribing after Low-Dose Recombinant Factor VIIa Protocol in Cardiac Surgery Open
Background Safety concerns exist with the off-label use of recombinant factor VIIa (rFVIIa, Novoseven RT®) for refractory bleeding in cardiac surgery, including increased risk of thromboembolism. A rFVIIa protocol was implemented in Decemb…
View article: Clinical interpretation of machine learning models for prediction of diabetic complications using electronic health records
Clinical interpretation of machine learning models for prediction of diabetic complications using electronic health records Open
Type 2 diabetes is a massive public health issue that continues to grow. The rate of diabetic complication progression varies across individuals. Understanding factors that alter the rate of complication onset may uncover new clinical inte…
View article: Increasing HIV Testing in Inpatient Psychiatry
Increasing HIV Testing in Inpatient Psychiatry Open