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CHS Research Facilitation Grant. April 3, 2014 Carleton ‘Buck’ Jones, PH.D. Associate Professor of Biomedical Sciences Coordinator, Master of Biomedical Sciences Program College of Health Sciences. CHS & ORSP. Intramural funds for: Animals and per diem Supplies and consumable materials

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Chs research facilitation grant

CHS Research Facilitation Grant

April 3, 2014

Carleton ‘Buck’ Jones, PH.D.

Associate Professor of Biomedical Sciences

Coordinator, Master of Biomedical Sciences Program

College of Health Sciences


Chs orsp
CHS & ORSP

  • Intramural funds for:

    • Animals and per diem

    • Supplies and consumable materials

    • Non-capital equipment

  • Pilot studies to obtain preliminary results

  • Continuation and/or completion of on-going research projects


Overview of the application process
Overview of the application process

  • Eligibility

  • Required sections

  • Budget

  • Timeline and deadlines


Eligibility
Eligibility

  • CHS faculty with at least 0.8 FTE

    • May collaborate with other faculty

  • Ability for success and tangible products

    • Publications

    • External grant proposals

    • Peer-reviewed activities

  • No remaining Start Up


Required sections
Required sections

  • At least 4, but less than 7 pages

    • Including references

    • 12-point font

  • Cover Page

  • Program Director review

    • All sections addressed

    • Project is consistent with the faculty member’s scholarly agenda


Required sections1
Required sections

  • Progress Reports & Final Reports

  • Title

    • If continuing grant, keep title consistent

  • Hypothesis or Research Question

  • Abstract

    The RFG Committee should know what you want to do by reading the Abstract


Abstract shaun mendel crna msn
Abstract - Shaun Mendel,CRNA, MSN

  • TITLE: Interdisciplinary Simulation: Perceptions of Graduate Health Science Students.

  • Interprofessionalcollaboration has been linked to improved patient care [1]. The unique combination of programs within the College of Health Sciences allows for meaningful surgical simulations between specialties mimicking real professional interactions. The World Health Organization, Institute of Medicine and many diverse healthcare professional organizations in the United States support interprofessional education [2-4]. Simulation training is an ideal method of interprofessional education [5].

  • One of the barriers to effective interprofessional education and collaboration is the presence of negative preconceptions held by the participants [6].

  • This study intends to use the revised Interprofessional Education Perceptions Scale [7] to assess student perceptions of their own profession and other professions before and after collaborative simulation exercises between nurse anesthesia, podiatric medicine, and cardiovascular science students.


Abstract kolla kristjansdottir ph d
Abstract - KollaKristjansdottir, Ph.D.

  • TITLE: Identifying the NPM1 interactome in neuroblastomacells

  • Neuroblastoma, a cancer arising from the sympathetic nervous system, is the most common extra-cranial solid tumor in children.

  • Our data corroborates a previous study that shows an increase in NPM1 in high-risk neuroblastoma. NPM1 is a nucleolar protein and participates in a wide range of biological processes including ribosome biogenesis, chromatin remodeling, cell cycle, apoptosis and DNA repair. NPM1 functions in these processes via interaction with different binding partners in some cases by sequestering them in the nucleoli. Of the relatively small number of known NPM1 interactors phosphorylation status often modulates interactor binding.

  • Here we propose to identify novel NPM1 interactors in neuroblastoma using a Yeast two-hybrid (Y2H) screen followed by confirmation of interactions in neuroblastoma cells.

  • These pilot studies will identify a pool of NPM1-interactors to study further and generate a neuroblastoma cell line with tagged NPM1 for future mechanistic studies. This work will help elucidate the role of NPM1 and its interactome in neuroblastoma and may identify novel targets for drug therapeutics.


Required sections2
Required sections

  • Research plan

    • Background & significance

      • What is the context?

      • Why is it important?

    • Hypothesis & specific aims

      • What are you going to accomplish to rigorously test your hypothesis?

    • Preliminary studies if relevant

      • Look! We can do this!

    • Research design, methods, and statistics

      • Figures are great!

      • Sample size calculations are great!


Research design

Timeline

Research Design

  • Hypothesis: Soy consumption will improve endothelial function in diabetics

  • Sample size calculation using data from literature

    • n = 12

Soy Improves EC Function

ID Patients (n = 12)

Collect Information

Sample 1

Soy consumption

4 weeks

Sample 2

Source:

Clinical collaborator

Exclusion criteria

  • Age

  • Smoking Hx

  • EtOH use

  • CVD

  • Htn.

    Prescriptions

    Type I vs II

    Sun exposure

    Ethnicity, gender, etc.

HbA1c

Glucose

Serum insulin

Endothelial function

by flow mediated

dilation

Dose

Formulation

Food & event log

HbA1c

Glucose

Serum insulin

  • Endothelial function

  • by flow mediated

  • dilation


Budget with justification of items
Budget (with justification of items)

  • Animals and animal care $ 770.40

  • Surgical supplies and consumables $ 974.96

  • Histopathology supplies and antibodies $ 2565.00

  • Quantitative rt-PCR supplies $ 692.00

    Total $ 4231.96


Required sections3
Required sections

  • Timeline for project – e.g.

    IACUC submission and approval January

    Animal surgeries, treatments, and behavioral analysis March – April

    Tissue processing, histopathology, and qRT-PCR May – June

    Data analysis and preparation of manuscript April – July

  • Identification of key personnel

  • Roles and responsibilities of investigators


Writing a good proposal
Writing a good proposal

  • Importance/impact

  • Research plan

  • Pre-submission review

  • Progress reports and final reports

  • ORSP spending policies and guidelines


Timeline and deadline
Timeline and deadline

  • Conceptualize and develop proposal

  • Contact resources May 1st

    • ORSP

    • Statistics

    • Collaborators

  • Pre-submission review May 22nd

  • Submit to Program Director May 29th

  • Submit to Dean’s Office June 2nd


Resources for faculty
Resources for faculty

  • CHS website:

    http://www.midwestern.edu/chs-deans-office/resources-faculty-and-staff/research-and-scholarship.html

  • ORSP

    • Seeking external funding

    • Presenting and publishing your work

  • Forming collaborations

    • Mentored Research

    • Journal Clubs

      • Various research groups

      • SoTL

    • Involving students

  • Research Club


Research club
Research Club

  • A forum for those interested in research to share their ideas, concerns, and needs...

  • Monthly meetings usually include an informal half-hour presentation of ongoing research by a faculty member, then discussion of some set of related topics.

  • Discussion topics have included where to go and from whom to get statistics support, what should be expected of master’s level research students, what kind of equipment needs to be requested through capital budget requests and who would share the equipment, how research ideas can be magnified by collaborations among MWU faculty, what equipment is broken and how long it will take to fix or replace, and so on.

  • Ellen Tarr and Kathy Lawson are the organizers, and they do a terrific job.

-Dr. Soby’s excellent description


Research survey
Research Survey

  • CHS Dean’s Office will be sending out a scholarship and research survey for faculty

  • Please complete 



Sample size calculation
Sample size calculation

  • n = s2(Z1-b + Z1-a/2)2a = 0.05

    (m0 – m1)2b = 0.20

    power = 0.8

    n number of measurements per group

    s variation in the sample

    a probability of type I error

    b probability of a type II error

    m0 – m1 treatment effect

    Z values from stats tables

    Z0.8 = 0.84

    Z0.975 = 1.96



Sample size calculation1
Sample size calculation

  • n = s2(Z1-b + Z1-a/2)2a = 0.05

    (m0 – m1)2b = 0.20

    power = 0.8

    = (1.7)2(0.84 + 1.96)2

    (14.3 – 15.7)2

    = 11.56, so 12 per group


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