Mathematical models are systems consisting of a set of equations used to describe a set of variables. Pie charts, tables, line graphs, chemical formulas, and diagrams are examples of mathematical models.
Dynamic models of infectious disease systems are often used to study the epidemiological characteristics of disease outbreaks, the ecological mechanisms and environmental conditions affectin...
Traditionally, virology has been focused in studying the pathogenic effect of viruses. In the recent years, however, this perception is changing and viruses are being studied as mutualistic...
The recent outbreak of SARS-CoV-2 underscores the need for understanding the evolutionary processes that drive the emergence and adaptation of zoonotic viruses in humans. Here, we show that...
Protein structural disorder helps avoid misfolding and aggregation, but in impeding protein folding might also impede function. The balance between these two selective pressures on protein b...
DATE: June 16, 2020 TIME: 8:00am PT Multi-wavelength analysis of hydrodynamic data collected on the latest analytical ultracentrifugation instruments provides additional resolution and insig...
DATE: June 9, 2020 TIME: 6am PT, 9am ET, 3pm CEST The importance of disposable plastic consumables and their overall impact on the experimental workflow of qPCR has been taken into considera...
Bioreactor modeling can inform understanding of cellular metabolism—including aspects of growth kinetics, productivity, media consumption, and metabolite secretion—and can be use...
Mechanistic understanding of neural systems is daunting to achieve in large part due to the heterogeneity of the neuronal elements in both form and function and the complexity of the circuit...
The neural basis of simple rhythmic and reflexive behaviors such as swimming and gill withdrawal have been successfully studied in nudibranchs and other gastropod molluscs because the brains...
We present here a framework to generate a realistic multiscale circuit model of the larval zebrafish brain – the multiscale virtual fish (MVF). The model will be based on algorithms in...
In Andalman et al, 2018, we explored the activity of over 10,000 neurons across more than 15 regions imaged simultaneously in larval zebrafish in a novel behavioral challenge paradigm. Compl...
An actual way of understanding complex systems in psychology and psychiatry is by building mathematical models on the functioning of mental, behavioral, or neural systems (computational syste...
Deep brain stimulation (DBS) is an established therapy for cardinal motor signs and medication-related complications in Parkinson’s disease (PD). Current DBS therapy is limited to &ldqu...
Ageing is a complex process that has been observed in all biological systems at every level of organisation. Some anti-ageing interventions have demonstrated life-extending effects in model o...
Two projects looking at novel approaches to targeting inflammatory breast cancer will be presented. Inflammatory breast cancer (IBC) is a unique, understudied, and most lethal subtype account...
The oncogenic transcription factor c-MYC (MYC) is deregulated, and often overexpressed, in more than 50% of cancers. MYC deregulation is associated with poor prognosis and aggressive disease,...
In the past two decades a small number of infrequently dividing cells have been proposed as the source of multi-drug resistance during cancer treatment. These cells identified by their expres...
PacBio Sequencing simultaneously provides long sequence reads, high consensus accuracy, minimal sequence bias, and methylation detection. I will highlight new advances and updates on applying...
To date the anatomic extent of tumor (TNM-classification) has been by far the most important factors to predict the prognosis of cancer patients. However, this classification provides limited...
RNA sequencing unlocks the mysteries hidden in the transcriptome. Whether your goal is gene expression analysis, gene fusion analysis, SNP analysis or miRNA expression analysis, achieving hig...
High-throughput screening is widely useful in identifying genes and pathways that drive changes in cell behavior such as cell cycle regulation, metastasis, and drug resistance. Millipor...
In prior work, we have pursued how tumor reactive monoclonal antibody (mAb), together with activators of innate immune cells, like NK cells, can augment antibody dependent cell-mediated cytot...
Molecular analyses of cancer biology have tended to segregate between a focus on nucleic acids – DNA, RNA and their modifications – and a focus on proteins and protein function. P...
Understanding the immune repertoire is an important aspect of immuno-oncology research, which can be used to gather insights into the function and overall status of the immune system. We have...
Dynamic models of infectious disease systems are often used to study the epidemiological characteristics of disease outbreaks, the ecological mechanisms and environmental conditions affectin...
Traditionally, virology has been focused in studying the pathogenic effect of viruses. In the recent years, however, this perception is changing and viruses are being studied as mutualistic...
The recent outbreak of SARS-CoV-2 underscores the need for understanding the evolutionary processes that drive the emergence and adaptation of zoonotic viruses in humans. Here, we show that...
Protein structural disorder helps avoid misfolding and aggregation, but in impeding protein folding might also impede function. The balance between these two selective pressures on protein b...
DATE: June 16, 2020 TIME: 8:00am PT Multi-wavelength analysis of hydrodynamic data collected on the latest analytical ultracentrifugation instruments provides additional resolution and insig...
DATE: June 9, 2020 TIME: 6am PT, 9am ET, 3pm CEST The importance of disposable plastic consumables and their overall impact on the experimental workflow of qPCR has been taken into considera...
Bioreactor modeling can inform understanding of cellular metabolism—including aspects of growth kinetics, productivity, media consumption, and metabolite secretion—and can be use...
Mechanistic understanding of neural systems is daunting to achieve in large part due to the heterogeneity of the neuronal elements in both form and function and the complexity of the circuit...
The neural basis of simple rhythmic and reflexive behaviors such as swimming and gill withdrawal have been successfully studied in nudibranchs and other gastropod molluscs because the brains...
We present here a framework to generate a realistic multiscale circuit model of the larval zebrafish brain – the multiscale virtual fish (MVF). The model will be based on algorithms in...
In Andalman et al, 2018, we explored the activity of over 10,000 neurons across more than 15 regions imaged simultaneously in larval zebrafish in a novel behavioral challenge paradigm. Compl...
An actual way of understanding complex systems in psychology and psychiatry is by building mathematical models on the functioning of mental, behavioral, or neural systems (computational syste...
Deep brain stimulation (DBS) is an established therapy for cardinal motor signs and medication-related complications in Parkinson’s disease (PD). Current DBS therapy is limited to &ldqu...
Ageing is a complex process that has been observed in all biological systems at every level of organisation. Some anti-ageing interventions have demonstrated life-extending effects in model o...
Two projects looking at novel approaches to targeting inflammatory breast cancer will be presented. Inflammatory breast cancer (IBC) is a unique, understudied, and most lethal subtype account...
The oncogenic transcription factor c-MYC (MYC) is deregulated, and often overexpressed, in more than 50% of cancers. MYC deregulation is associated with poor prognosis and aggressive disease,...
In the past two decades a small number of infrequently dividing cells have been proposed as the source of multi-drug resistance during cancer treatment. These cells identified by their expres...
PacBio Sequencing simultaneously provides long sequence reads, high consensus accuracy, minimal sequence bias, and methylation detection. I will highlight new advances and updates on applying...
To date the anatomic extent of tumor (TNM-classification) has been by far the most important factors to predict the prognosis of cancer patients. However, this classification provides limited...
RNA sequencing unlocks the mysteries hidden in the transcriptome. Whether your goal is gene expression analysis, gene fusion analysis, SNP analysis or miRNA expression analysis, achieving hig...
High-throughput screening is widely useful in identifying genes and pathways that drive changes in cell behavior such as cell cycle regulation, metastasis, and drug resistance. Millipor...
In prior work, we have pursued how tumor reactive monoclonal antibody (mAb), together with activators of innate immune cells, like NK cells, can augment antibody dependent cell-mediated cytot...
Molecular analyses of cancer biology have tended to segregate between a focus on nucleic acids – DNA, RNA and their modifications – and a focus on proteins and protein function. P...
Understanding the immune repertoire is an important aspect of immuno-oncology research, which can be used to gather insights into the function and overall status of the immune system. We have...
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