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- Creator:
- Bitzer, Markus
- Description:
- Kidney tissue was analyzed for spatial localization of features and associations with clinical parameters.
- Keyword:
- Kidney, Pathology, Human, and Image analysis
- Discipline:
- Health Sciences
-
- Creator:
- Herzog, Joshua M, Verkade, Angela, and Sick, Volker
- Description:
- Data deposited here includes 60 image sets (30 individual participants, and 2 eyes per individual) consisting of raw fluorescence images, diffuse reflection images using ambient lighting, images used for correction, and calibration, and metadata. Images are split into two wavelength bands as described in the methodology. Raw images are stored in Hierarchical Data Format 5 (HDF5) file nodes (one file per eye) and each image node contains a tag for frame rate, exposure duration, and timestamp (stored in ImageData.zip). Summary statistics including demographic data, participant-reported diseases (e.g., diabetes, keratoconus), and pupil size are also stored in a text-based comma-separated table and as an Excel spreadsheet. Finally, 2-channel pseudocolor images and ratiometric grayscale images combining the two fully-processed image bands are stored as portable network graphics (PNG) files (stored in PseudocolorImages.zip).
- Keyword:
- Fluorescence, Imaging, Ocular lens, Corneal disease, Cataract, and Diabetes
- Citation to related publication:
- Herzog, Joshua M., Verkade, Angela, and Sick, Volker. "Corneal shadowgraphy: a simple, low-cost, rapid, and quantitative tool with potential clinical utility." Manuscript in review. 2024. and Herzog, Joshua M., Verkade, Angela, and Sick, Volker. "Quantitative and rapid in vivo imaging of human lenticular fluorescence." Manuscript in review. 2024.
- Discipline:
- Health Sciences and Engineering
-
- Creator:
- A. Tapaswi, N. Cemalovic, K. Polemi, J. Sexton, and J. Colacino
- Description:
- MCF10A non-tumorigenic breast cells were dosed with environmental toxicants and stained with multiple cellular stains to study morphological perturbations. Following up on feature results, MCF10A cells were stained with an anti-beta catenin antibody to study beta catenin nuclear translocation. Cell profiler software was used to measure and export per cell data .CSV formats to be further analyze din BMDExpress2 and R studio
- Keyword:
- Breast cancer , Cell Painting, Chemical exposure, Benchmark dose, and Cell Profiler
- Discipline:
- Health Sciences
-
- Creator:
- Fahim, Abigail T
- Description:
- The purpose of this research is to compare levels of unprenylated Rab proteins in CHM-/- iPSC-RPE cells with and without compactin. Compactin is a statin that inhibits prenyl synthesis and thereby reduces prenylation overall and has an unbiased inhibitory effect on all protein prenylation. So we expect that for Rabs that are already poorly prenylated at baseline in choroideremia RPE cells, compactin will have minimal effect. However, for Rabs that are efficiently prenylated at baseline, compactin should have a much greater effect. And then we used tandem mass tag spectrometry to compare the ratio of each unprenylated Rab in compactin-treated choroideremia cells vs untreated choroideremia cells. In the spreadsheet, "F8" refers to the CHM-/- iPSC-RPE cells and "WT" refers to the isogenic control iPSC-RPE cells. In the "Proteins only" tab, column M shows the ratio of each protein in "DMSO" (untreated) choroideremia cells compared to Compactin-treated choroideremia cells. Compactin-treated control cells are also included in other columns. Untreated control cells could not be used because prenylation is so efficient in these cells, there is almost no material available after doing the in vitro prenylation assay (i.e. almost no unprenylated proteins to biotinylate). The column descriptions can be found in the sheet titled "Explanations." In addition, AAs= number of amino acids in the protein, MW= molecular weight of the protein, and pI= isoelectric point. The software is set to report abundance values only when certain criteria are met (S/N of 6, unique peptide etc). A value is NOT reported when the data for a protein fall below these criteria and the cell is instead left blank.
- Keyword:
- choroideremia, retinal pigment epithelium, prenylation, and Rab protein
- Citation to related publication:
- Raeker, M.O., Perera, N.D., Karoukis, A.J., Chen, L., Feathers, K.L., Ali, R.R., Thompson, D.A., Fahim, A.T. Reduced retinal pigment epithelial autophagy due to loss of Rab12 prenylation in a human iPSC-RPE model of choroideremia. Cells, manuscript accepted, in press.
- Discipline:
- Health Sciences and Science
-
- Creator:
- Asthana, Vishwaratn, Monovoukas, Demetri, Kucharski, Kevin, Chopra, Zoey, Perkins, Sidney, and Bugga, Pallavi
- Description:
- It is difficult to model outcomes in patients post-ST Elevation Myocardial Infarction (STEMI), particularly onset of heart failure. The acute insult following a myocardial infarction and chronic degeneration seen in HF involve a similar process where a loss of cardiomyocytes and abnormal remodeling lead to pump failure. This process may alter the strength and direction of the heart’s net depolarization signal. The investigators hypothesized that changes over time in unique parameters extracted using vectorcardiography (VCG) have the potential to predict clinical outcomes in patients post-STEMI and could eventually be used as a non-invasive and cost-effective surveillance tool for characterizing the severity and progression of HF to guide evidence-based therapies.
- Keyword:
- Cardiology, ECG, VCG, STEMI, and Heart Failure
- Discipline:
- Health Sciences
-
- Creator:
- Pedde, Meredith
- Description:
- In this study, we took advantage of the randomized allocation of the US EPA's funding for school bus replacements and retrofits to causally assess the impacts of upgrading buses on students' educational performance through the EPA’s national School Bus Rebate Program. Specifically, we used classical intent-to-treat analyses for randomized controlled trials to compare the change in school district level reading and language arts and math standardized test scores after vs before the 2012 through 2016 lotteries by funding selection status . We used overall district average standardized test scores since rates were not available for only school-bus riders.
- Keyword:
- School Bus Emissions, Diesel Air Pollution, and Student standardized testing
- Citation to related publication:
- Pedde, M., Szpiro, A., Hirth, R., Adar, S. School Bus Rebate Program and Student Educational Performance Test Scores. JAMA Network Open (2024). https://doi.org/10.1001/jamanetworkopen.2024.3121
- Discipline:
- Health Sciences
-
- Creator:
- Irani, Sanaya , Tolia, Sangini, Finks, Jonathan, and Sandhu, Gurjit
- Description:
- Program Description DoT was founded in 2012 with a mission to increase diversity amongst medical professionals by preparing students from underrepresented communities in Detroit to successfully pursue careers in healthcare. Our program builds on a partnership between Cass Technical High School (CTHS) and the University of Michigan Medical School (UMMS). The CTHS student body is reflective of the Detroit population with more than 80% of students identifying with racial and ethnic minority backgrounds. Students with an interest in healthcare apply for the program as ninth graders. In recent years, the program has received over 60 applications for approximately 30 positions in each grade. DoT’s unique strength lies in its longitudinal structure. There are three branches of the program – Foundations (ninth and tenth grade), Rising (eleventh and twelfth grade) and Succeed (undergraduate). Ninth graders start out in DoT Foundations. Each student is paired with a first-year medical student mentor at UMMS for the entire academic year. DoT students travel to UMMS every month for a visit day, with activities designed to give students hands-on experiences in healthcare, such as suturing and ultrasound skills in the simulation center, and clinical shadowing. Students then meet with their medical student mentor over lunch. The latter part of the day is dedicated to working on their capstone projects. For the capstone projects, students work in small teams led by medical student leaders to identify a community health issue, partner with a local organization, and present their proposed solutions at a formal symposium at the end of the year. , Transition to Virtual Programming In light of the recent COVID-19 pandemic, a growing number of universities cancelled all campus events including those of pipeline programs. We felt that our programming offered an important service to our students that would be greatly missed, so our team worked to quickly create and implement a virtual program. We ensured that each of our students had access to technology at home and those who did not were offered scholarships. During our introductory student session and new parent meeting, our leadership team discussed how to set up a Gmail email address for weekly communications and taught the students how to use Zoom, Google Drive, Google Docs and Google Sheets for online learning collaboration. For the virtual Foundations program, we offered 1-hour seminars each month, where a physician was invited to give a 30-minute presentation about different organ systems, followed by a 30-minute case-based session where students worked with medical student mentors to apply their new knowledge. We also created novel sessions such as “The Path to College and Medical School” and collaborated with members of the Black Medical Association (BMA) and Latin American and Native American Medical Association (LANAMA) to host a panel session where students could learn from medical students who identified as URiM. For the mentorship aspect, we created “pods” of Foundations, Rising, and Succeed students along with medical student and physician mentors. The Foundations students and mentors met every month for an hour on Zoom, a virtual communication platform, to work on their Capstone project. Rising and Succeed students joined the group for three full-pod meetings. The goal was to increase near-peer mentorship and connections between DoT students at all levels. , and Study Population Due to the virtual nature of the 2020-2021 program, we accepted 100% of 9th grade applicants from CTHS. We also expanded our reach to a new school, The School at Marygrove (TSM), which is also located in Detroit, Michigan. TSM is involved in the Detroit-20 Partnership with the University of Michigan College of Education and includes a novel three-year residency program for novice teachers. During the 2020-2021 school year, 108 students participated in the Foundations programming with 72 of them being 9th graders and 36 being 10th graders. The students were mostly from CTHS with 12 students out of the 108 total being from TSM. Students were predominantly from an African American/Black racial background (68.4% from N=98 respondents). The students were representative of their respective schools. The majority of students at CTHS identify as black, come from low-income homes, and have variable levels of parental education.
- Keyword:
- pipeline program, Underrepresented in medicine, Mentorship, Medical education, and COVID-19
- Discipline:
- Health Sciences
-
- Creator:
- Alvarado, Roman, Scheven, Ulrich M., and Meiners, Jens-Christian
- Description:
- MRI raw data Image analysis script Raw pressure and vitals data
- Keyword:
- Decompression Sickness
- Citation to related publication:
- Alvarado R, Scheven U. M, Meiners, J. C.: Real-time Imaging of Decompression Gas Bubble Growth in the Spinal Cord of Live Rats, Magnetic Resonance in Medicine, 2024, in press
- Discipline:
- Health Sciences
-
- Creator:
- Bautista-Arredondo, Luis F., Muñoz-Rocha, T. Verenice, Figueroa, José L., Téllez-Rojo, Martha M., Torres-Olascoaga, Libni A., Cantoral, Alejandra, Arboleda-Merino, Laura C., Leung, Cindy, Peterson, Karen E., and Lamadrid-Figueroa, Héctor
- Description:
- Data was collected from participants of the Early Life Exposures in Mexico to ENvironmental Toxicants (ELEMENT) study, which consists of three sequentially-enrolled birth cohorts of pregnant women. Research protocols of this study were approved by the Institutional Review Board at University of Michigan and the Mexico National Institute of Public Health. We obtained informed consent from study participants prior to enrollment.
- Keyword:
- Food Insecurity, COVID-19 Pandemic, Mexico, Cohort
- Citation to related publication:
- Bautista-Arredondo LF, Verenice Muñoz-Rocha T, Figueroa JL, Téllez-Rojo MM, Torres-Olascoaga LA, Cantoral A, Arboleda-Merino L, Leung L, Peterson KE, and Lamadrid-Figueroa H. A surge in food insecurity during the COVID-19 pandemic in a cohort in Mexico City. 2022. Article in process of publication.
- Discipline:
- Health Sciences
-
- Creator:
- Dariya, Malyarenko, Tariq, Humera, Kushwaha, Aman, Mourad, Rami, Heist, Kevin, Chenevert, Thomas L, Ross, Brian D, Chen, Heang-Ping, and Hadjiiski, Lubomir
- Description:
- The 3D GRE MRI data for murine model of myelofbifrosis with expert segmentations of mouse tibia was used to train Attention UNET model to automate bone marrow segmentation for measurements of imaging biomarkers. This dataset consists of three archives: (1) containing the source MRI images in Meta-image-header (MHD) format with resulting segmentation labels by two experts and four UNET models with different training scenarios; (2) corresponding training models; and (3) deep-learning (DL)-based segmentation tools for application to future murine tibia MRI data. and The MHD images are an ITK compatible format that can be viewed in standard image viewer, like 3D Slicer. The image archive is structured with a directory tree that contains \"mouseID"\"scan-date"\"segmentaion-scenario"\. The "training model" archive containes DL-model labeled by the data subset, and "deployment" archive containes the DL-segmentation software.
- Keyword:
- deep-learning segmentation, preclinical MRI, murine tibia, and mouse model of myelofibrosis
- Citation to related publication:
- Kushwaha A, Mourad RF, Heist K, Tariq H, Chan HP, Ross BD, Chenevert TL, Malyarenko D, Hadjiiski LM. Improved Repeatability of Mouse Tibia Volume Segmentation in Murine Myelofibrosis Model Using Deep Learning. Tomography. 2023 Mar 7;9(2):589-602. doi: 10.3390/tomography9020048. PMID: 36961007; PMCID: PMC10037585. and https://github.com/dumichgh/MFJK1_Segmentation_MHDs
- Discipline:
- Health Sciences