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- Creator:
- Reynolds, Mack B., Hong, Hanna S., Zhang, Li, Lyssiotis, Costas A., and O'Riordan, Mary X.
- Description:
- Untargeted lipidomics (Data S1) and targeted metabolomics (Data S2) analysis from in vitro culture of a murine macrophage cell line expressing shRNA targeted to Cardiolipin synthase (CRLS1), referred to as CRLS1 knockdown (KD), or a paired non-target shRNA-expressing (NT-Control). CRLS1 KD and NT-Control macrophages were either directly analyzed (untargeted lipidomics) or stimulated with lipopolysaccharide for a variety of timepoints and then analyzed (targeted metabolomics). Datasets are available as .csv files.
- Keyword:
- Lipidomics, Metabolomics, Cardiolipin, Macrophage, CRLS1, lipopolysaccharide, and LPS
- Citation to related publication:
- Reynolds M.B. et al. (2023). Cardiolipin coordinates inflammatory metabolic reprogramming through regulation of Complex II disassembly and degradation. Science Advances, 9(5). DOI: 10.1126/sciadv.ade8701
- Discipline:
- Health Sciences
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- Creator:
- Szuromi, Matthew P. and Stacey, William C.
- Description:
- The data and scripts are meant to show how burster dynamics determine response to a single biphasic stimulus. The files include data which show trends in the propensity of termination for different burster types and the MATLAB scripts used to generate this data. The MATLAB scripts also allow the user to generate their own data sets for alternative bursting paths and stimulus parameter combinations. Furthermore, they allow the user to visually examine the effects of single stimuli in the voltage timeseries and in state space. How the user can access these features of the script is described in the file "ReadMe.pdf."
- Keyword:
- Epilepsy, Stimulation, Modelling, Dynamics, Seizure, and Dynamotype
- Citation to related publication:
- (PROVISIONAL) Optimization of Ictal Aborting Stimulation Using the Dynamotype Taxonomy
- Discipline:
- Health Sciences, Engineering, and Science
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- Creator:
- Lin, Jack and Stacey, William C.
- Description:
- The characterization of HFO networks through functional connectivity analysis and network centrality. Details of the code repository can be found in the README.txt file.
- Keyword:
- Epilepsy, High Frequency Oscillation, HFO, Network, and EEG
- Citation to related publication:
- Pending
- Discipline:
- Health Sciences
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Real-time, volumetric imaging of radiation dose delivery deep into the liver during cancer treatment
- Creator:
- Wei Zhang
- Description:
- Ionizing radiation acoustic imaging (iRAI) allows online monitoring of radiation’s interactions with tissues during radiation therapy, providing real-time, adaptive feedback for cancer treatments. Using the data set presented here, this study demonstrated iRAI can image the temporal dose accumulation of a radiaiton treatment plan. Clincial standard treatment plan with both rabbit and patient in vivo were first real-time volumetric visulized by iRAI. This data set is the rawdata for our paper published in Nature Biotechnology entitled "Real-time, volumetric imaging of radiation dose delivery deep into the liver during cancer treatment ".
- Discipline:
- Health Sciences
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- Creator:
- Zalta, Alyson K., Vanderboll, Kathryn, Dent, Amy L., Contreras, Isaias M., Malek, Nadia, Lascano, Xrystyan N., Zellner, Kelly L., Grandhi, Jyotsna, Araujo, Precious J., Straka, Kelci, Liang, Cathy Z., Czarny, Jordyn E., Martinez, Jazmin, and Burgess, Helen J.
- Description:
- An individual participant data meta-analysis was conducted to examine 1) the degree to which bedtime, wake time, and chronotype correlate with posttraumatic stress disorder (PTSD) severity among individuals diagnosed with PTSD, 2) the standardized mean difference in bedtime, wake time, and chronotype for those with and without a PTSD diagnosis, and 3) moderators of these relationships. This deposit includes the full dataset used for data analyses. No proprietary software is required to open any of these files.
- Keyword:
- Psychology, Posttraumatic Stress Disorder, Sleep Timing, Chronotype, and Meta-Analysis
- Citation to related publication:
- Zalta, A. K., Vanderboll, K., Dent, A. L., Contreras, I. M., Malek, N., Lascano, X. N., Zellner, K. L., Grandhi, J., Araujo, P. J., Straka, K., Liang, C. Z., Czarny, J. E., Martinez, J., & Burgess, H. J. (2023). Sleep timing, chronotype, and posttraumatic stress disorder: An individual participant data meta-analysis. Psychiatry research, 321, 115061. Advance online publication. https://doi.org/10.1016/j.psychres.2023.115061
- Discipline:
- Health Sciences
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- Creator:
- Adler, Jeremy
- Description:
- Data comparing the Simplified Endoscopic Mucosal Assessment for Crohn's Disease (SEMA-CD) from video recordings of colonoscopies to SEMA-CD scoring of their corresponding colonoscopy reports from pediatric patients with Crohn's disease.
- Keyword:
- Crohn's disease and colonoscopy
- Discipline:
- Health Sciences
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- Creator:
- Saylor, Kate M., McCormick, Amanda D., Wilde, Megan M., Charpie, Christine E., Yu, Sunkyung, and Cousino, Melissa K.
- Description:
- The search data supports a literature review project on Psychological Functioning in Pediatric Patients with Single Ventricle Congenital Heart Disease. The data included are the reproducible search strategies (txt file) and the exported results of all citations from all databases (txt, ris, and.nbib files). Both the original search files and updated search files have been included in the deposit.
- Keyword:
- pediatrics, univent, Single Ventricle Congenital Heart Disease, and psychological
- Discipline:
- Health Sciences
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- Creator:
- Umberfield, Elizabeth, Ford, Kathleen, Stansbury, Cooper, and Harris, Marcelline R.
- Description:
- Research Overview: This dataset is clinical consent forms, collected as part of Dr. Elizabeth Umberfield's dissertation research of at the University of Michigan. 134 consent forms are used in the analysis, 102 of which are shared here (not all are shared due to data protection agreements with participating sites). The research aimed to enable representation of clinical consent forms and their permissions within the Informed Consent Ontology. These efforts were supported by the Rackham Graduate Student Research Grant, and Dr. Umberfield's doctoral training was supported by the Robert Wood Johnson Foundation Future of Nursing Scholars Program.
- Keyword:
- Consent, Consent Form, Informed Consent, Health Care, and Healthcare
- Citation to related publication:
- Umberfield, E., Jiang, Y., Fenton, S., Stansbury, C., Ford, K., Crist, K., Kardia, S., Thomer, A., & Harris, M. R. (In Press). Lessons Learned for Identifying and Annotating Permissions in Clinical Consents. Applied Clinical Informatics. and Umberfield, E., Stansbury, C., Ford, K., Jiang, Y., Kardia, S. L. R., Thomer, A., & Harris, M. R. (Under Review). Evaluating and Extending the Informed Consent Ontology for Representing Permissions from the Clinical Domain.
- Discipline:
- Health Sciences
-
- Creator:
- Stringer, Kathleen A.
- Description:
- These data were produced from the survival analysis of the pre-treatment metabolomics data generated from the Phase II clinical trial of L-carnitine treatment for septic shock (the RACE trial - see https://clinicaltrials.gov/ct2/show/NCT01665092). The results based on respective acetylcarnitine or valine concentration are presented (pdf). The csv files contain the at risk numbers from the Kaplan-Meier survival analysis. These findings described in our manuscript: Pharmacometabolomics Identifies Candidate Predictor Metabolites of an L-carnitine Treatment Mortality Benefit in Septic Shock. and All of the metabolomics data are available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org which is supported by NIH grant U2C-DK119886 and where it has been assigned Project ID (accession number ST001319). The data can be accessed directly via its Project DOIs: (DOI: http://dx.doi.org/10.21228/M8VX0Z).
- Keyword:
- sepsis, septic shock, survival, mortality, metabolomics, and pharmacometabolomics
- Citation to related publication:
- Puskarich, M. A., Jennaro, T. S., Gillies, C. E., Evans, C. R., Karnovsky, A., McHugh, C. E., Flott, T. L., Jones, A. E., Stringer, K. A., & Investigators, O. behalf of the R. T. (2021). Pharmacometabolomics Identifies Candidate Predictor Metabolites of an L-carnitine Treatment Mortality Benefit in Septic Shock. (Preprint) https://doi.org/10.1101/2021.01.28.21250687
- Discipline:
- Health Sciences
-
- Creator:
- Whitaker, Steven T., Nataraj, Gopal, Nielsen, Jon-Fredrik, and Fessler, Jeffrey A.
- Description:
- File: P,jf06Sep2019,mese.7 The multi-echo spin echo (MESE) data was acquired using a 3D acquisition with an initial 90 degree excitation pulse followed by 32 refocusing (180 degree) pulses, resulting in 32 echoes with echo spacing of 10 ms. The repetition time of the sequence was 1200 ms. Each refocusing pulse was flanked by crusher gradients to impart 14 cycles of phase across the imaging volume. The initial excitation pulse had time-bandwidth product of 6, duration of 3 ms, and slab thickness of 0.9 cm, and each refocusing pulse had time-bandwidth product of 2, duration of 2 ms, and slab thickness of 2.1 cm. The scan took 36 min 11 s and covered a field of view (FOV) of 22 x 22 x 0.99 cm^3 with matrix size 200 x 200 x 9., File: P,jf06Sep2019,b1.7 The Bloch-Siegert (BS) scans were acquired using a 3D acquisition. The excitation pulse of these scans had time-bandwidth product of 8 and duration of 1 ms. The pair of scans used +/-4 kHz off-resonant Fermi pulses between excitation and readout. The BS scans took 2 min 40 s in total and covered a FOV of 22 x 22 x 0.99 cm^3 with matrix size 200 x 50 x 9., File: P,jf06Sep2019,mwf.7 The small-tip fast recovery (STFR) scans were acquired using a 3D acquisition. The first two and last two scans were pairs of spoiled gradient-recalled echo (SPGR) scans with echo time difference of 2.3 ms. (In the related paper, only the first set was used, i.e., only 11 of the 13 scans were used.) The remaining scans used scan parameters that were optimized to minimize the Cramer-Rao Lower Bound (CRLB) of estimates of myelin water fraction (MWF). The RF pulses had time-bandwidth product of 8 and duration of 1 ms. Each pair of SPGR scans took 58 s and the nine STFR scans took 3 min 36 s for a total scan time of 5 min 32 s (4 min 34 s if one pair of SPGR scans is ignored). The scans covered a field of view (FOV) of 22 x 22 x 0.99 cm^3 with matrix size 200 x 200 x 9., File: meseslice5.mat Contains the 32 echoes of the MESE image data for the middle slice of the imaging volume. Saved using Mathworks MATLAB R2019a., File: b1slice5.mat Contains the transmit field inhomogeneity map for the middle slice of the imaging volume., File: recon.jld Key "img" contains the 11 STFR images for the middle slice of the imaging volume. Key "b0map" contains a field map estimated from the two SPGR scans. Key "mask" contains a mask of the voxels for which to estimate MWF. Key "T1img" contains a T1-weighted image for anatomical reference., File: headmask.mat Contains a mask for visualizing just the brain (ignores the skull) for the middle slice of the imaging volume., File: rois.mat Contains masks for various regions of interest (ROIs), used for computing statistics. Keys "mtopleft", "mtopright", "mbottomleft", and "mbottomright" refer to the corresponding locations on the anatomical reference image (see related paper). Key "mic" refers to the internal capsules, and key "mgm" refers to a gray matter ROI., The raw data files (P-files) can be read into the Julia programming language using the Julia version of the Michigan Image Reconstruction Toolbox ( https://github.com/JeffFessler/MIRT.jl) or into MATLAB using TOPPE ( https://github.com/toppeMRI/toppe). The reconstructed slices used in the related paper are provided for convenience, and are stored in .mat files that can be loaded into Julia (using the package MAT.jl) or MATLAB, and a .jld file that can be loaded into Julia (using the package JLD.jl). The Julia code for processing the data to create MWF maps is hosted publicly on GitHub at https://github.com/StevenWhitaker/STFR-MWF., and Files: toppe-master.zip and MIRT.jl-master.zip are archived versions of the TOPPE and Michigan Image Reconstruction Toolbox code sets from GitHub as of 2/28/2020.
- Keyword:
- myelin, machine learning, kernel learning, magnetic resonance imaging, and scan design
- Citation to related publication:
- Whitaker, S. T., Nataraj, G., Nielsen, J.-F., & Fessler, J. A. (2020). Myelin water fraction estimation using small-tip fast recovery MRI. Magnetic Resonance in Medicine, 84(4), 1977–1990. https://doi.org/10.1002/mrm.28259
- Discipline:
- Health Sciences and Engineering