Blood-based identification of non-responders to anti-TNF therapy in rheumatoid arthritis.

Background: Faced with an increasing number of choices for biologic therapies, rheumatologists have a critical need for better tools to inform rheumatoid arthritis (RA) disease management. The ability to identify patients who are unlikely to respond to first-line biologic anti-TNF therapies prior to their treatment would allow these patients to seek alternative therapies, providing faster relief and avoiding complications of disease.

Methods: We identified a gene expression classifier to predict, pre-treatment, which RA patients are unlikely to respond to the anti-TNF infliximab.

A vascular biology network model focused on inflammatory processes to investigate atherogenesis and plaque instability.

Background: Numerous inflammation-related pathways have been shown to play important roles in atherogenesis. Rapid and efficient assessment of the relative influence of each of those pathways is a challenge in the era of "omics" data generation. The aim of the present work was to develop a network model of inflammation-related molecular pathways underlying vascular disease to assess the degree of translatability of preclinical molecular data to the human clinical setting.

Early patient stratification and predictive biomarkers in drug discovery and development: a case study of ulcerative colitis anti-TNF therapy.

The current drug discovery paradigm is long, costly, and prone to failure. For projects in early development, lack of efficacy in Phase II is a major contributor to the overall failure rate. Efficacy failures often occur from one of two major reasons: either the investigational agent did not achieve the required pharmacology or the mechanism targeted by the investigational agent did not significantly contribute to the disease in the tested patient population.

A computable cellular stress network model for non-diseased pulmonary and cardiovascular tissue.

Background: Humans and other organisms are equipped with a set of responses that can prevent damage from exposure to a multitude of endogenous and environmental stressors. If these stress responses are overwhelmed, this can result in pathogenesis of diseases, which is reflected by an increased development of, e.g.

Construction of a computable cell proliferation network focused on non-diseased lung cells.

Background: Critical to advancing the systems-level evaluation of complex biological processes is the development of comprehensive networks and computational methods to apply to the analysis of systems biology data (transcriptomics, proteomics/phosphoproteomics, metabolomics, etc.). Ideally, these networks will be specifically designed to capture the normal, non-diseased biology of the tissue or cell types under investigation, and can be used with experimentally generated systems biology data to assess the biological impact of perturbations like xenobiotics and other cellular stresses.

The perichromosomal layer.

In addition to genetic information, mitotic chromosomes transmit essential components for nuclear assembly and function in a new cell cycle. A specialized chromosome domain, called the perichromosomal layer, perichromosomal sheath, chromosomal coat, or chromosome surface domain, contains proteins required for a variety of cellular processes, including the synthesis of messenger RNA, assembly of ribosomes, repair of DNA double-strand breaks, telomere maintenance, and apoptosis regulation. The layer also contains many proteins of unknown function and is a major target in autoimmune disease.

Relevance of histone acetylation and replication timing for deposition of centromeric histone CENP-A.

A centromere-specific variant of histone H3, centromere protein A (CENP-A), is a critical determinant of centromeric chromatin, and its location on the chromosome may determine centromere identity. To search for factors that direct CENP-A deposition at a specific chromosomal locus, we took advantage of the observation that CENP-A, when expressed at elevated levels, can get incorporated at ectopic sites on the chromosome, in addition to the centromere. As core histone hypoacetylation and DNA replication timing have been implicated as epigenetic factors that may be important for centromere identity, we hypothesized that the sites of preferential CENP-A deposition will be distinguished by these parameters.

Localization of human SMC1 protein at kinetochores.

Proper cohesion of sister chromatids is prerequisite for correct segregation of chromosomes during cell division. The cohesin multiprotein complex, conserved in eukaryotes, is required for sister chromatid cohesion. Human cohesion is composed of a stable heterodimer of the structural maintenance of chromosomes (SMC) family proteins, hSMC1 and hSMC3, and non-SMC components, hRAD21 and SA1 (or SA2).

Protein phosphatase 4 is involved in tumor necrosis factor-alpha-induced activation of c-Jun N-terminal kinase.

Protein phosphatase 4 (PP4, previously named protein phosphatase X (PPX)), a PP2A-related serine/threonine phosphatase, has been shown to be involved in essential cellular processes, such as microtubule growth and nuclear factor kappa B activation. We provide evidence that PP4 is involved in tumor necrosis factor (TNF)-alpha signaling in human embryonic kidney 293T (HEK293T) cells. Treatment of HEK293T cells with TNF-alpha resulted in time-dependent activation of endogenous PP4, peaking at 10 min, as well as increased serine and threonine phosphorylation of PP4.