Applied Biosystems

About: Applied Biosystems is a based out in . It is known for research contribution in the topics: Mass spectrometry & Capillary electrophoresis. The organization has 1521 authors who have published 1579 publications receiving 285423 citations.

Nell1-deficient mice have reduced expression of extracellular matrix proteins causing cranial and vertebral defects

Abstract: The mammalian Nell1 gene encodes a protein kinase C-beta1 (PKC-beta1) binding protein that belongs to a new class of cell-signaling molecules controlling cell growth and differentiation. Over-expression of Nell1 in the developing cranial sutures in both human and mouse induces craniosynostosis, the premature fusion of the growing cranial bone fronts. Here, we report the generation, positional cloning and characterization of Nell1(6R), a recessive, neonatal-lethal point mutation in the mouse Nell1 gene, induced by N-ethyl-N-nitrosourea. Nell1(6R) has a T-->A base change that converts a codon for cysteine into a premature stop codon [Cys(502)Ter], resulting in severe truncation of the predicted protein product and marked reduction in steady-state levels of the transcript. In addition to the expected alteration of cranial morphology, Nell1(6R) mutants manifest skeletal defects in the vertebral column and ribcage, revealing a hitherto undefined role for Nell1 in signal transduction in endochondral ossification. Real-time quantitative reverse transcription-PCR assays of 219 genes showed an association between the loss of Nell1 function and reduced expression of genes for extracellular matrix (ECM) proteins critical for chondrogenesis and osteogenesis. Several affected genes are involved in the human cartilage disorder Ehlers-Danlos Syndrome and other disorders associated with spinal curvature anomalies. Nell1(6R) mutant mice are a new tool for elucidating basic mechanisms in osteoblast and chrondrocyte differentiation in the developing skull and vertebral column and understanding how perturbations in the production of ECM proteins can lead to anomalies in these structures.

Apparatus and method for differentiating multiple fluorescence signals by excitation wavelength

Abstract: An apparatus and method are provided for differentiating multiple detectable signals by excitation wavelength. The apparatus can include a light source that can emit respective excitation light wavelengths or wavelength ranges towards a sample in a sample retaining region, for example, in a well. The sample can contain two or more detectable markers, for example, fluorescent dyes, each of which can be capable of generating increased detectable emissions when excited in the presence of a target component. The detectable markers can have excitation wavelength ranges and/or emission wavelength ranges that overlap with the ranges of the other detectable markers. A detector can be arranged for detecting an emission wavelength or wavelength range emitted from a first marker within the overlapping wavelength range of at least one of the other markers.

A Survey of Computational Methods for Determining Haplotypes

Abstract: It is widely anticipated that the study of variation in the human genome will provide a means of predicting risk of a variety of complex diseases. Single nucleotide polymorphisms (SNPs) are the most common form of genomic variation. Haplotypes have been suggested as one means for reducing the complexity of studying SNPs. In this paper we review some of the computational approaches that have been taking for determining haplotypes and suggest new approaches.