Role of Neurogranin in the regulation of calcium binding to Calmodulin

Role of Neurogranin in the regulation of calcium binding to Calmodulin Anuja Chandrasekar, B.S Advisor: M. Neal Waxham, Ph.D The overall goal of my project was to gain a quantitative understanding of how the interaction between two proteins neurogranin (RC3) and calmodulin (CaM) alters a fundamental property of CaM. CaM, has been extensively studied for more than four decades due to its seminal role in almost all biological functions as a calcium signal transducer. Calcium signals in cardiac and neuronal cells are exquisitely precise and enable activation of some processes while down-regulating others. CaM, with its four calcium binding sites, serves as a central component of calcium signaling in these cells. It is aided in this role as a regulatory hub that differentially activates targets in response to a calcium flux by proteins that alter its calcium binding properties. Neurogranin, also known as RC3, is a member of a family of small neuronal IQ (SNIQ) domain proteins that was originally thought to play a ‘capacitive’ role by sequestering CaM until a calcium influx of sufficient intensity arrived. However, based on earlier work in our lab on neurogranin, we believe that this protein plays a more nuanced role in neurons than simply acting as a CaM buffer. We believe that neurogranin is one of the proteins which, by altering the kinetics of calcium binding allow CaM to decode a variety of signals with fine precision. To quantify the interaction between CaM, neurogranin and calcium, I used biophysical techniques and computational simulations. From my results, I conclude that neurogranin finely regulates the proportion of calcium-saturated CaM and thereby directs CaM’s target specificity.

An Innovative Approach to Impacting Student Academic Achievement and Attitudes: Pilot Study of the HEADS UP Virtual Molecular Biology Lab

Introduction: The Virtual Molecular Biology Lab is an innovative, computer-based educational program designed to teach advanced high school biology students how to create a transgenic mouse model in a simulated laboratory setting. It was created in an effort to combat the current decrease in adolescent enthusiasm for and academic achievement in science and science careers, especially in Hispanic students. Because studies have found that hands-on learning, particularly computer-based instruction, is effective in enhancing science achievement, the Virtual Lab is a potential tool for increasing the number of Hispanic students that choose to enter science fields. [See PDF for complete abstract]

Notification of abnormal lab test results in an electronic medical record: do any safety concerns remain?

BACKGROUND: Follow-up of abnormal outpatient laboratory test results is a major patient safety concern. Electronic medical records can potentially address this concern through automated notification. We examined whether automated notifications of abnormal laboratory results (alerts) in an integrated electronic medical record resulted in timely follow-up actions. METHODS: We studied 4 alerts: hemoglobin A1c > or =15%, positive hepatitis C antibody, prostate-specific antigen > or =15 ng/mL, and thyroid-stimulating hormone > or =15 mIU/L. An alert tracking system determined whether the alert was acknowledged (ie, provider clicked on and opened the message) within 2 weeks of transmission; acknowledged alerts were considered read. Within 30 days of result transmission, record review and provider contact determined follow-up actions (eg, patient contact, treatment). Multivariable logistic regression models analyzed predictors for lack of timely follow-up. RESULTS: Between May and December 2008, 78,158 tests (hemoglobin A1c, hepatitis C antibody, thyroid-stimulating hormone, and prostate-specific antigen) were performed, of which 1163 (1.48%) were transmitted as alerts; 10.2% of these (119/1163) were unacknowledged. Timely follow-up was lacking in 79 (6.8%), and was statistically not different for acknowledged and unacknowledged alerts (6.4% vs 10.1%; P =.13). Of 1163 alerts, 202 (17.4%) arose from unnecessarily ordered (redundant) tests. Alerts for a new versus known diagnosis were more likely to lack timely follow-up (odds ratio 7.35; 95% confidence interval, 4.16-12.97), whereas alerts related to redundant tests were less likely to lack timely follow-up (odds ratio 0.24; 95% confidence interval, 0.07-0.84). CONCLUSIONS: Safety concerns related to timely patient follow-up remain despite automated notification of non-life-threatening abnormal laboratory results in the outpatient setting.

Studies on the role of BCR in Philadelphia chromosome-positive leukemias

It is well established that the chimeric Bcr-Abl oncoprotein resulting from fusing 3$\sp\prime$ ABL sequences on chromosome 9 to 5$\sp\prime$ BCR sequences on chromosome 22 is the primary cause of Philadelphia chromosome-positive (Ph$\sp1$) leukemias. Although it is clear that the cis-Bcr sequence present within Bcr-Abl is able to activate the tyrosine kinase activity and F-actin binding capacity of Bcr-Abl which is critical for the transforming ability of BCR-ABL, the biological role of normal BCR gene product (P160 BCR) remains largely unknown. The previous finding by our lab that P160 BCR forms stable complexes with Bcr-Abl oncoprotein in Ph$\sp1$-positive leukemic cells implicated P160 BCR in the pathogenesis of Ph$\sp1$-positive leukemias. Here, we demonstrated that P160 BCR physically interacts with P210 BCR-ABL and become tyrosine phosphorylated when co-expressed with P210 BCR-ABL in COS1 cells while no tyrosine phosphorylation of P160 BCR can be detected when it is expressed alone. The results suggest that P160 BCR is a target for the Bcr-Abl tyrosine kinase. Although we were unable to detect stable physical interaction between P160 BCR and P145 c-ABL (Ib) in COS1 cells overexpressing both proteins, P160 BCR was phosphorylated on tyrosine residues when co-expressed with activated tyrosine kinase of P145 c-ABL (Ib). In addition, studies of tyrosine phosphorylation of BCR deletion mutants and 2-dimensional tryptic mapping of in vitro phosphorylated wild type and mutant (tyrosine to phenylalanine) Bcr-Abl indicated that tyrosine 177, 283 and 360 of Bcr represent some of the phosphorylation sites. Even though the significance of tyrosine phosphorylation of residues 283 and 360 of Bcr has not been determined, tyrosine phosphorylation of residue 177 within Bcr-Abl has been reported to be critical for its interaction with Grb2 molecule and subsequent activation of Ras signaling pathway. Here, we further demonstrated that tyrosine 177 phosphorylated P160 BCR is also able to bind to Grb2 molecule suggesting the role of P160 BCR in the Ras signaling pathway.^ Surprisingly, using 3$\sp\prime$ BCR antisense oligonucleotide to reduce the expression of P160 BCR without interfering with the expression of BCR-ABL resulted in increased growth or survival of B15 cells and M3.16 cells expressing either P185 BCR-ABL or P210 BCR-ABL respectively. The results provided strong arguments that P160 BCR may function as a negative regulator for cell growth.^ Considering all these results, we hypothesize that P160 BCR negatively regulate cell growth and tyrosine phosphorylation of P160 BCR turns off its growth suppressor function and turns on its growth stimulatory function. We further speculate that Bcr-Abl oncoprotein in leukemia cells stably interacts with and constitutively phosphorylates portions of P160 BCR converting it into a growth stimulatory state. In normal cells, the growth suppressor effects of P160 BCR could only be transiently and conditionally switched to growth stimulatory action by a strictly regulated cellular tyrosine kinase such as c-ABL. The model will be further discussed in the text. ^

Lab animal allergy surveillance at a private medical school in three dissimilar animal research facilities

Very few studies have described MUP-1 concentrations and measured prevalence of Laboratory Animal Allergy (LAA) at such a diverse institution as the private medical school (MS) that is the focus of this study. Air sampling was performed in three dissimilar animal research facilities at MS and quantitated using a commercially available ELISA. Descriptive data was obtained from an anonymous laboratory animal allergy survey given to both animal facility employees and the researchers who utilize these facilities alike. Logistic regression analysis was then implemented to investigate specific factors that may be predictive of developing LAA as well as factors influencing the reporting of LAA symptoms to the occupational health program. Concentrations of MUP-1 detected ranged from below detectable levels (BDL) to a peak of 22.64 ng/m3 . Overall, 68 employees with symptoms claimed they improved while away from work and only 25 employees reported their symptoms to occupational health. Being Vietnamese, a smoker, not wearing a mask, and working in any facility longer than one year were all significant predictors of having LAA symptoms. This study suggests a LAA monitoring system that relies on self-reporting can be inadequate in estimating LAA problems. In addition, efforts need to be made to target training and educational materials for non-native English speaking employees to overcome language and cultural barriers and address their specific needs. ^

The effect of triage team on time-in-department in a pediatric emergency department

Objective. To determine whether the use of a triage team would reduce the average time-in-department in a pediatric emergency department by 25%.^ Methods. A triage team consisting of a physician, a nurse, and a nurse's assistant initiated work-ups and saw patients who required minimal lab work-up and were likely to be discharged. Study days were randomized. Our inclusion criteria were all children seen in the emergency center between 6p and 2a Monday-Friday. Our exclusion criteria included resuscitations, inpatient-inpatient transfers, left without being seen, leaving against medical advice, any child seen outside of 6p-2am Monday-Friday and on the weekends. A Pearson-Chi square was used for comparison of the two groups for heterogeneity. For the time-in-department analysis, we performed a 2 sided t-test with a set alpha of 0.05 using Mann Whitney U looking for differences in time-in-department based on acuity level, disposition, and acuity level stratified by disposition. ^ Results. Among urgent and non-urgent patients, we found a statistically significant decrease in time-in-department in a pediatric emergency department. Urgent patients had a time-in-department that was 51 minutes shorter than patients seen on non-triage team days (p=0.007), which represents a 14% decrease in time-in-department. Non-urgent patients seen on triage team days had a time-in-department that was 24 minutes shorter than non-urgent patients seen on non-triage team days (p=0.009). From the disposition perspective, discharged patients seen on triage team days had a shorter time-in-department of 28 minutes as compared to those seen on non-triage team days (p=0.012). ^ Conclusion. Overall, there was a trend towards decreased time-in-department of 19 minutes (5.9% decrease) during triage team times. There was a statistically significant decrease in the time-in-department among urgent patients of 51 minutes (13.9% decrease) and among discharged patients of 28 minutes (8.4% decrease). Urgent care patients make up nearly a quarter of the emergency patient population and decreasing their time-in-department would likely make a significant impact on overall emergency flow.^