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1.
PLoS One ; 10(10): e0141611, 2015.
Article in English | MEDLINE | ID: mdl-26506092

ABSTRACT

INTRODUCTION AND OBJECTIVES: The zinc-finger transcription factor Krϋppel-like factor 2 (KLF2) transduces blood flow into molecular signals responsible for a wide range of responses within the vasculature. KLF2 maintains a healthy, quiescent endothelial phenotype. Previous studies report a range of phenotypes following morpholino antisense oligonucleotide-induced klf2a knockdown in zebrafish. Targeted genome editing is an increasingly applied method for functional assessment of candidate genes. We therefore generated a stable klf2a mutant zebrafish and characterised its cardiovascular and haematopoietic development. METHODS AND RESULTS: Using Transcription Activator-Like Effector Nucleases (TALEN) we generated a klf2a mutant (klf2ash317) with a 14bp deletion leading to a premature stop codon in exon 2. Western blotting confirmed loss of wild type Klf2a protein and the presence of a truncated protein in klf2ash317 mutants. Homozygous klf2ash317 mutants exhibit no defects in vascular patterning, survive to adulthood and are fertile, without displaying previously described morphant phenotypes such as high-output cardiac failure, reduced haematopoetic stem cell (HSC) development or impaired formation of the 5th accessory aortic arch. Homozygous klf2ash317 mutation did not reduce angiogenesis in zebrafish with homozygous mutations in von Hippel Lindau (vhl), a form of angiogenesis that is dependent on blood flow. We examined expression of three klf family members in wildtype and klf2ash317 zebrafish. We detected vascular expression of klf2b (but not klf4a or biklf/klf4b/klf17) in wildtypes but found no differences in expression that might account for the lack of phenotype in klf2ash317 mutants. klf2b morpholino knockdown did not affect heart rate or impair formation of the 5th accessory aortic arch in either wildtypes or klf2ash317 mutants. CONCLUSIONS: The klf2ash317 mutation produces a truncated Klf2a protein but, unlike morpholino induced klf2a knockdown, does not affect cardiovascular development.


Subject(s)
Cardiovascular System/growth & development , Hematopoietic System/growth & development , Kruppel-Like Transcription Factors/genetics , Morphogenesis/genetics , Zebrafish Proteins/genetics , Animals , Gene Expression Regulation, Developmental , Genotype , Humans , Kruppel-Like Transcription Factors/antagonists & inhibitors , Kruppel-Like Transcription Factors/biosynthesis , Morpholinos/genetics , Mutation , Signal Transduction , Zebrafish/genetics , Zebrafish/growth & development , Zebrafish Proteins/antagonists & inhibitors , Zebrafish Proteins/biosynthesis
2.
Platelets ; 24(3): 226-34, 2013.
Article in English | MEDLINE | ID: mdl-22746279

ABSTRACT

We present a method for identifying and analysing unusually large von Willebrand factor (ULVWF)-platelet strings in noisy low-quality images. The method requires relatively inexpensive, non-specialist equipment and allows multiple users to be employed in the capture of images. Images are subsequently enhanced and analysed, using custom-written software to perform the processing tasks. The formation and properties of ULVWF-platelet strings released in in vitro flow-based assays have recently become a popular research area. Endothelial cells are incorporated into a flow chamber, chemically stimulated to induce ULVWF release and perfused with isolated platelets which are able to bind to the ULVWF to form strings. The numbers and lengths of the strings released are related to characteristics of the flow. ULVWF-platelet strings are routinely identified by eye from video recordings captured during experiments and analysed manually using basic NIH image software to determine the number of strings and their lengths. This is a laborious, time-consuming task and a single experiment, often consisting of data from four to six dishes of endothelial cells, can take 2 or more days to analyse. The method described here allows analysis of the strings to provide data such as the number and length of strings, number of platelets per string and the distance between each platelet to be found. The software reduces analysis time, and more importantly removes user subjectivity, producing highly reproducible results with an error of less than 2% when compared with detailed manual analysis.


Subject(s)
Blood Platelets/metabolism , Microscopy, Fluorescence/methods , Microscopy, Video/methods , von Willebrand Factor/metabolism , ADAM Proteins/metabolism , ADAMTS13 Protein , Humans , Image Processing, Computer-Assisted , Protein Binding , Reproducibility of Results , Sensitivity and Specificity , von Willebrand Factor/chemistry
3.
J Phys Chem C Nanomater Interfaces ; 114(51): 22697-22702, 2010 Dec 30.
Article in English | MEDLINE | ID: mdl-22523605

ABSTRACT

Positive and negative third-order optical nonlinearities have been investigated in single-stranded DNA wrapped semiconducting single-walled carbon nanotubes. It is found that the redox reactions of hydrogen peroxide can reverse the sign of the third-order nonlinearity. The observation proves that the lowest unoccupied molecular orbital has a lower density of electronic states than that of the highest occupied molecular orbital. A three-energy-level model is used to explain the effect of the redox reactions. Raman spectroscopy has also been used to investigate the interaction between single-walled carbon nanotubes and single-stranded DNA.

4.
J Chem Phys ; 120(9): 4297-305, 2004 Mar 01.
Article in English | MEDLINE | ID: mdl-15268599

ABSTRACT

Rotationally resolved infrared absorption spectra for the 1(0)(1) band of jet cooled cobalt tricarbonyl nitrosyl have been observed and analyzed. Several longitudinal modes of a Pb-salt diode laser were utilized to measure 105 rovibrational transitions for this particular vibrational band centered near 2112 cm(-1). Spectra were optimized using both argon and helium carrier gases and these experiments eventually led to rovibrational transitions being assigned to four different K subbands, specifically the K = 0, 3, 6, and 9 subbands. An iterative least-squares analysis of the spectroscopic data yielded the following molecular parameters nu0 = 2111.7457(9) cm(-1), B0 = 0.034747(12) cm(-1), B1 = 0.034695(15) cm(-1), C1 = 0.03380(9) cm(-1), and D1K = 6.3(9) x 10(-6) cm(-1) (where 3sigma uncertainties are listed in parenthesis).

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