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Biomedical subjects

Daniel Horowitz

Publications and source records attributed to Daniel Horowitz.

6 recordsLinked to original sources

Nanoliter high throughput quantitative PCR.

Understanding biological complexity arising from patterns of gene expression requires accurate and precise measurement of RNA levels across large numbers of genes simultaneously. Real time PCR (RT-PCR) in a microtiter plate is the preferred method for quantitative transcriptional analysis but scaling RT-PCR to higher throughputs in this fluidic format is intrinsically limited by cost and logistic considerations. Hybridization microarrays measure the transcription of many thousands of genes simultaneously yet are limited by low sensitivity, dynamic range, accuracy and sample throughput. The hybrid approach described here combines the superior accuracy, precision and dynamic range of RT-PCR with the parallelism of a microarray in an array of 3072 real time, 33 nl polymerase chain reactions (RT-PCRs) the size of a microscope slide. RT-PCR is demonstrated with an accuracy and precision equivalent to the same assay in a 384-well microplate but in a 64-fold smaller reaction volume, a 24-fold higher analytical throughput and a workflow compatible with standard microplate protocols.

Cells, Cultured↗

Levels of mRNA coding for alpha-, beta-, and gamma-synuclein in the brains of newborn, juvenile, and adult rats.

Synucleins are proteins known for their malfunction in a group of illnesses called synucleopathies, which includes Alzheimer's and Parkinson's disease. To learn more about the role of synucleins in the CNS, we have studied levels of message coding for alpha-, beta-, and gamma-synuclein using quantitative RT-PCR. Levels of synuclein mRNAs were studied in the cerebral cortex (left and right, anterior and posterior), hippocampus, striatum, and cerebellum, obtained from 5-d-old (newborn), 1-mo (juvenile)-, and 6-, and 9-mo (adult)-old rats. The mRNA levels for all synucleins varied significantly among structures. The rank order of mRNA levels in different structures was cortex = hippocampus > striatum > cerebellum for alpha-synuclein; cortex > hippocampus = cerebellum > striatum for beta-synuclein; and hippocampus = striatum > cortex = cerebellum for gamma-synuclein. There was significant effect of age for mRNA levels for all synucleins. The dynamics of these changes were different depending on type of synuclein and brain structure. Levels of mRNA for alpha-synuclein were significantly reduced with age in all structures except hippocampus. For beta- and gamma-synuclein, levels increased significantly only in the cerebral cortex and only from 5 d to 1 mo of age. In contrast, gamma-synuclein levels in the cerebellum were very high at 5 d and significantly reduced at 1 mo of age. The revealed pattern and dynamics of changes in the levels of mRNA coding for synucleins would support the conclusion for an important role of these molecules during development and the aging process.

Aging↗

Integrated expressional analysis: application to the drug discovery process.

Microarray technology enables high-throughput testing of gene expression to investigate various neuroscience related questions. This in turn creates a demand for scalable methods to confirm microarray results and the opportunity to use this information to discover and test novel pathways and therapeutic applications. Discovery of new central nervous system (CNS) treatments requires a comprehensive understanding of multiple aspects including the biology of a target, the pathophysiology of a disease/disorder, and the selection of successful lead compounds as well as efficient biomarker and drug disposition strategies such as absorption (how a drug is absorbed), distribution (how a drug spreads through an organism), metabolism (chemical conversion of a drug, if any, and into which substances), and elimination (how is a drug eliminated) (ADME). Understanding of the toxicity is also of paramount importance. These approaches, in turn, require novel high-content integrative assay technologies that provide thorough information about changes in cell biology. To increase efficiency of profiling, characterization, and validation, we established a new screening strategy that combines high-content image-based testing on Array Scan (Cellomics) with a confocal system and the multiplexed TaqMan RT-PCR method for quantitative mRNA expression analysis. This approach could serve as an interface between high-throughput microarray testing and specific application of markers discovered in the course of a microarray experiment. Markers could pinpoint activation or inhibition of a molecular pathway related, for instance, to neuronal viability. We demonstrate the successful testing of the same cell population in an image-based translocational assay followed by poly(A) mRNA capture and multiplexed single tube RT-PCR. In addition, Ciphergen ProteinChip analysis can be performed on the supernatant, thus allowing significant complementarity in the data output and interpretation by also including the capture and initial analysis of proteins in the integrative approach presented. We have determined various conditions including the number of cells, RT and PCR optimization, which are necessary for successful detection and consequent assay integration. We also show the successful convergence of various different approaches and multiplexing of different targets within a single real-time PCR tube. This novel integrative technological approach has utility for CNS drug discovery, target and biomarker identification, selection and characterization as well as for the study of toxicity- and adverse event-associated molecular mechanisms.

Drug Evaluation, Preclinical↗

Functional informatics: convergence and integration of automation and bioinformatics.

The biopharmaceutical industry is currently being presented with opportunities to improve research and business efficiency via automation and the integration of various systems. In the examples discussed, industrial high-throughput screening systems are integrated with functional tools and bioinformatics to facilitate target and biomarker identification and validation. These integrative functional approaches generate value-added opportunities by leveraging available automation and information technologies into new applications that are broadly applicable to different types of projects, and by improving the overall research and development and business efficiency via the integration of various systems.

Automation↗

Peripheral blood stem cell mobilization. A role for CXC chemokines.

Chemokines induce rapid hematopoietic stem and progenitor cell mobilization and synergize with hematopoietic cytokines in mobilizing stem and progenitor cells. These proteins alone and in combination offer new paradigms for autologous and allogeneic peripheral blood stem cell transplantation (PBSCT). The mechanisms responsible for hematopoietic stem cell (HSC) mobilization either with growth factors or chemokines are largely unknown, but a better understanding of these mechanisms will permit the development of novel, more rapid and efficacious regimens. Studies presented herein indicate that the CXCR2 chemokine receptor that interacts with selective chemokine ligands, particularly GRObeta/CXCL2 and GRObeta-T, may be the dominant receptor mediating hematopoietic cell mobilization, and that polymorphonuclear neutrophils may be the primary CXCR2 expressing target cell for stem and progenitor cell mobilization.

Animals↗

Inhibition of hematopoietic progenitor cell growth by Tyr-MIF, an endogenous opiate modulator, and its degradation products.

There is increasing evidence that neuronal factors can affect hematopoietic cell proliferation. Endogenous opioids with specificity for several opioid receptor classes were tested for their ability to inhibit murine and human hematopoietic progenitor cell proliferation. Tyr-MIF, an opioid tetrapeptide (H-Tyr-Pro-Leu-Gly-NH2), demonstrated a dose-dependent inhibition of colony formation at concentrations < 10 uM, inhibiting M-CSF and G-CSF-responsive progenitor cells equally. Tyr-MIF did not inhibit the number of colonies responsive to recombinant interleukin 3 (rmIL-3) or recombinant murine granulocyte-macrophage colony stimulating factor (rmGM-CSF), but significantly reduced colony size of GM-CSF responsive colonies. Colony formation by human low density and CD34+ marrow cells in response to G-CSF was also inhibited by Tyr-MIF and was more sensitive to inhibition than murine progenitor cells. Colony formation by single CD34+ cells was also inhibited by Tyr-MIF, indicating an effect directly on progenitor cells. Incubation of marrow cells in liquid culture and removal of Tyr-MIF prior to quantitating progenitor cell proliferation demonstrated that opioid-induced inhibition was reversible. The inhibitory effect of Tyr-MIF was not blocked by naloxone, a mu receptor specific antagonist, or diminished in mu opioid receptor deficient mice. HPLC analysis of cell-free culture medium containing Tyr-MIF showed no presence of the parent peptide after 24 h while progenitor cell inhibitory activity was retained. Analysis of potential degradation products of Tyr-MIF indicated that only H-Gly-NH9 or H-Gly-NH2 containing peptides inhibited colony forming unit (CFU) proliferation. These results indicate that Tyr-MIF is a reversible inhibitor of mature hematopoietic progenitor cell proliferation, and that this effect is most likely mediated by the degradation product H-Gly-NH2. Potential applications including protection of myeloid cells after cytosuppresive therapy are discussed.

Animals↗