24 research outputs found
Maximizing flow rate in single paper layer, rapid flow microfluidic paper-based analytical devices
UNLABELLED: Small, single-layer microfluidic paper-based analytical devices (Β΅PADs) offer potential for a range of point-of-care applications; however, they have been limited to low flow rates. Here, we investigate the role of laser cutting paper channels in maximizing flow rate in small profile devices with limited fluid volumes. We demonstrate that branching, laser-cut grooves can provide a 59.23-73.98% improvement in flow rate over a single cut, and a 435% increase over paper alone. These design considerations can be applied to more complex microfluidic devices with the aim of increasing the flow rate, and could be used in stand-alone channels for self-pumping.
SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10404-023-02679-8
The in vivo study of cardiac mechano-electric and mechano-mechanical coupling during heart development in zebrafish
In the adult heart, acute adaptation of electrical and mechanical activity to changes in mechanical load occur
Upregulation of the cell-cycle regulator RGC-32 in Epstein-Barr virus-immortalized cells
Epstein-Barr virus (EBV) is implicated in the pathogenesis of multiple human tumours of lymphoid and epithelial origin. The virus infects and immortalizes B cells establishing a persistent latent infection characterized by varying patterns of EBV latent gene expression (latency 0, I, II and III). The CDK1 activator, Response Gene to Complement-32 (RGC-32, C13ORF15), is overexpressed in colon, breast and ovarian cancer tissues and we have detected selective high-level RGC-32 protein expression in EBV-immortalized latency III cells. Significantly, we show that overexpression of RGC-32 in B cells is sufficient to disrupt G2 cell-cycle arrest consistent with activation of CDK1, implicating RGC-32 in the EBV transformation process. Surprisingly, RGC-32 mRNA is expressed at high levels in latency I Burkitt's lymphoma (BL) cells and in some EBV-negative BL cell-lines, although RGC-32 protein expression is not detectable. We show that RGC-32 mRNA expression is elevated in latency I cells due to transcriptional activation by high levels of the differentially expressed RUNX1c transcription factor. We found that proteosomal degradation or blocked cytoplasmic export of the RGC-32 message were not responsible for the lack of RGC-32 protein expression in latency I cells. Significantly, analysis of the ribosomal association of the RGC-32 mRNA in latency I and latency III cells revealed that RGC-32 transcripts were associated with multiple ribosomes in both cell-types implicating post-initiation translational repression mechanisms in the block to RGC-32 protein production in latency I cells. In summary, our results are the first to demonstrate RGC-32 protein upregulation in cells transformed by a human tumour virus and to identify post-initiation translational mechanisms as an expression control point for this key cell-cycle regulator
The Mechanism of Release of P-TEFb and HEXIM1 from the 7SK snRNP by Viral and Cellular Activators Includes a Conformational Change in 7SK
The positive transcription elongation factor, P-TEFb, is required for the production of mRNAs, however the majority of the factor is present in the 7SK snRNP where it is inactivated by HEXIM1. Expression of HIV-1 Tat leads to release of P-TEFb and HEXIM1 from the 7SK snRNP in vivo, but the release mechanisms are unclear.We developed an in vitro P-TEFb release assay in which the 7SK snRNP immunoprecipitated from HeLa cell lysates using antibodies to LARP7 was incubated with potential release factors. We found that P-TEFb was directly released from the 7SK snRNP by HIV-1 Tat or the P-TEFb binding region of the cellular activator Brd4. Glycerol gradient sedimentation analysis was used to demonstrate that the same Brd4 protein transfected into HeLa cells caused the release of P-TEFb and HEXIM1 from the 7SK snRNP in vivo. Although HEXIM1 binds tightly to 7SK RNA in vitro, release of P-TEFb from the 7SK snRNP is accompanied by the loss of HEXIM1. Using a chemical modification method, we determined that concomitant with the release of HEXIM1, 7SK underwent a major conformational change that blocks re-association of HEXIM1.Given that promoter proximally paused polymerases are present on most human genes, understanding how activators recruit P-TEFb to those genes is critical. Our findings reveal that the two tested activators can extract P-TEFb from the 7SK snRNP. Importantly, we found that after P-TEFb is extracted a dramatic conformational change occurred in 7SK concomitant with the ejection of HEXIM1. Based on our findings, we hypothesize that reincorporation of HEXIM1 into the 7SK snRNP is likely the regulated step of reassembly of the 7SK snRNP containing P-TEFb
The hemodynamics during thrombosis and impact on thrombosis
Atherothrombosis can induce acute myocardial infarction and stroke by progressive stenosis of a blood vessel lumen to full occlusion. The goal of this research is to determine what shear rates are pertinent to an occluding blood vessel, the rate of thrombus growth relative to wall shear rates, and to develop a predictive model for estimating length of time to thrombus occlusion for a given atherosclerotic lesion. Computational studies of severely stenotic idealized vessels were performed to investigate the wall shear rates that may exist. The study shows that maximum shear rates in severe short stenoses were found to exceed 250,000 1/s (9,500 dynes/cm2). We utilize an in vitro experiment consisting of blood flow through a collagen coated stenosis to study the rate of thrombus growth. Growth is monitored through light microscopy and a camera. Computational fluid dynamics are used to determine shear rates along the thrombus surface as it grows. We found a strong positive correlation between thrombus growth rates and shear rates up to 6,000 1/s after a log-log transformation (r=0.85, p<0.0001). Growth rates at pathologic shear rates were typically 2-4 times greater than for physiologic shear rates below 400 s-1. To determine whether transport or kinetic binding limits the rate of thrombus growth, a computational model of platelet transport was developed. The model allows for thrombus growth by occluding computational cells. We show that thrombus is transport rate-limited for shear rates below 6,000 1/s, while it is more likely to be kinetic rate-limited for higher shear rates. Predictions of occlusion times based on the model demonstrate that increases in stenosis severity results in decreased time to occlusion.Ph.D.Committee Chair: Ku, David; Committee Member: Cheng Zhu; Committee Member: Gerardo-Giorda, Luca; Committee Member: Kenichi Tanaka; Committee Member: Larry McIntir
Mechanistic numerical study of trhombus growth
A computational model of thrombus initiation and aggrandizement was proposed. The model separated the thrombotic process into three mechanisms, including shear enhanced diffusivity, platelet margination, and platelet adhesion. The model indicates that transport mechanisms may be the rate limiting condition of thrombus formation at physiological shear rates and that at higher shear rates; platelet binding becomes the rate limiting condition. Additionally a wall shear rate of 20000 s-1 and above should be considered as a new criterion for prophylactic treatment of an atherosclerotic lesion.M.S.Committee Chair: David N. Ku; Committee Member: Cyrus Aidun; Committee Member: Don P. Gidden
Probability density function of instantaneous shear stress (Ο<sub>p</sub>) during acceleration, peak, and deceleration phases at the points of interest upstream (top row) and downstream (middle row).
<p>Closure and mid-diastole phases for points of interest upstream are shown in the bottom row.</p
Basic Turbulence Parameters Upstream.
<p>Basic Turbulence Parameters Upstream.</p
Probability density function of instantaneous normalized shear stress (Ο<sub>p</sub>/Ο<sub>K</sub>) for all points of interest at all phases.
<p>Notice the close data collapse for Ο<sub>p</sub>/Ο<sub>K</sub> above 0.5. The probability of Ο<sub>p</sub>>0.5Ο<sub>K</sub> is about 0.36 (shaded region).</p