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- Creator:
- Bellile, Emily L, Taylor, Jeremy MG, and Wolf, Gregory T
- Description:
- The University of Michigan’s Head and Neck Specialized Program of Research Excellence (SPORE) included an epidemiology project that approached every previously untreated adult head and neck squamous carcinoma (HNSCC) patient evaluated in the multidisciplinary Head and Neck Oncology Program of the University of Michigan (UM; Ann Arbor, MI) Comprehensive Cancer Center for participation in our longitudinal epidemiology study. This analytic dataset includes the most commonly requested covariates and outcome variables for survival analysis of this cohort of HNSCC patients. Data cleaning and creation of this analysis dataset was performed with SAS software v 9.3 (Carey,NC) by a biostatistician supporting multiple projects in the University of Michigan’s Head and Neck Specialized Program of Research Excellence (SPORE) and is available in RedCap for UM investigators to join with discipline specific data collected on the same cohort through a de-identified ID link.
- Keyword:
- Head and Neck Cancer, HNSCC, Squamous Cell Cancer, Epidemiology, Head and Neck Specialized Program of Research Excellence (SPORE). , Cancer, Prognosis, and Survival Analysis
- Citation to related publication:
- Cigarette use, comorbidities, and prognosis in a prospective head and neck squamous cell carcinoma population. Peterson LA, Bellile EL, Wolf GT, Virani S, Shuman AG, Taylor JM, Rozek LS; University of Michigan Head and Neck Specialized Program of Research Excellence Program. Head Neck. 2016 Dec;38(12):1810-1820. doi: 10.1002/hed.24515. Epub 2016 Jul 19. PMID: 27432208. , Development and Assessment of a Model for Predicting Individualized Outcomes in Patients With Oropharyngeal Cancer. Beesley LJ, Shuman AG, Mierzwa ML, Bellile EL, Rosen BS, Casper KA, Ibrahim M, Dermody SM, Wolf GT, Chinn SB, Spector ME, Baatenburg de Jong RJ, Dronkers EAC, Taylor JMG. JAMA Netw Open. 2021 Aug 2;4(8):e2120055. doi: 10.1001/jamanetworkopen.2021.20055. PMID: 34369988., Amlani, L; Bellile, E; Spector, M; Smith, J; Brenner, C; Rozek, L; Nguyen, A; Zarins, K; Thomas, D; McHugh, J; Taylor, J; Wolf, GT. Expression of p53 and prognosis in patients with head and neck squamous cell carcinoma (HNSCC); Int J Cancer Clin Res 2019, 6:122. DOI: 10.23937/2378-3419/1410122., and Spector ME, Bellile E, Amlani L, Zarins K, Smith J, Brenner JC, Rozek L, Nguyen A, Thomas D, McHugh JB, Taylor JMG, Wolf GT; University of Michigan Head and Neck SPORE Program. Prognostic Value of Tumor-Infiltrating Lymphocytes in Head and Neck Squamous Cell Carcinoma. JAMA Otolaryngol Head Neck Surg. 2019 Nov 1;145(11):1012-1019. doi: 10.1001/jamaoto.2019.2427. PMID: 31486841; PMCID: PMC6735419.
- Discipline:
- Science and Health Sciences
-
- Creator:
- Raghani, Ravi M, Urie, Russell R, and Shea, Lonnie D
- Description:
- The IN were sampled during and after ICB and sequenced to identify gene expression signatures that correlated with sensitivity or resistance. We also analyzed gene expression at the IN prior to ICB treatment to identify markers predicting therapeutic response. Longitudinally interrogating an IN, to monitor changes associated with ICB response, presents a new opportunity to personalize care and investigate mechanisms underlying treatment resistance.
- Keyword:
- Immunotherapy resistance, Biomaterials, Metastasis, Checkpoint blockade, and Therapy monitoring
- Discipline:
- Engineering and 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 student attendance 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 attendance rates after vs before the 2012 through 2017 lotteries by funding selection status . We used overall district attendance rates since rates were not available for only school-bus riders.
- Keyword:
- School Bus Emissions, Diesel Air Pollution, and School Attendance
- Citation to related publication:
- Pedde, M., Szpiro, A., Hirth, R. et al. Randomized design evidence of the attendance benefits of the EPA School Bus Rebate Program. Nat Sustain (2023). https://doi.org/10.1038/s41893-023-01088-7
- Discipline:
- Health Sciences
-
- Creator:
- George De la Rosa, Mery Vet, Patel, Dipali, McCann, Marc R., Stringer, Kathleen A., and Rosania, Gus R.
- Description:
- These data were produced from a study that employed a database strategy to identify candidate mitochondrial metabolites that could be clinically useful to identify individuals at increased risk of mitochondrial-related ADRs. The main candidate metabolite identified by the database strategy was evaluated using a mouse model of mitochondrial drug toxicity. These findings are described in our manuscript: Database Screening as a Strategy to Identify Endogenous Candidate Metabolites to Probe and Assess Mitochondrial Drug Toxicity. Data reported was supported by funding from the National Institute of General Medical Sciences (NIGMS) at the National Institutes of Health (NIH) under award numbers R01GM127787 (GRR) & R35GM136312 (KAS).
- Keyword:
- mitochondrial-realted metabolites, adverse drug reactions, and mitochondrial drug toxicity
- Discipline:
- Health Sciences
-
- 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
-
- 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
-
- 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
-
- Creator:
- Walker, Logan A, Li, Ye, McGlothlin, Maggie, and Cai, Dawen
- Description:
- These are datasets released from our manuscript "A Comparison of Lossless Compression Methods in Microscopy Data Storage Applications". Included in this data release are: `noise16.tif`: a file containing background noise collected from a 1000-frame acquisition of a ORCA-Fusion camera; `noise8.tif`: a file containing the 16-bit data collective above converted into a 8-bit form; `brainbow.tif`: This is a mouse Brainbow image originally published and described in Roossien, et al. Bioinformatics 2019; `bead.tif`: This is a 3D image of 100nm Invitrogen TetraSpeck fluorescent microspheres imaged in a blue channel using a custom microscope; `fly.tif`: This is a 3D image of a fly Bitbow brain collected as described in Li, et al. Front. Neural Circuits 2021; and `neurite.tif`: This is a 3D image of DiD-labeled mouse V1 tissue, collected using a custom microscope.
- Keyword:
- neuroscience, microscopy, and Bitbow
- Discipline:
- Health Sciences
-
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
-
- Creator:
- Hero, Alfred O, Zhai, Yaya, Burke, Thomas, Doraiswamy, Murali, Ginsburg, Geoffrey S, Henao, Ricardo, Turner, Ronald B, and Woods, Christopher W
- Description:
- The data deposited here is as follows: The clinical shedding/symptom data, RNAseq, steroid, and wearable E4 data was partially presented in publications [1]-[3] and the cognitive lumos and VAFS data is presented in the paper [4], which is under review and embargoed. The data files are: subject.json, sample.json, and genematrix_TPM.csv. In addition, a copy of the blank consent form used to enroll volunteers in the study is included (17964_Adult Consent_2015Mar17-Mod 1_clean.pdf)., Clinical symptom and viral shedding data (in subject.json): reports each subject's accumulated and maximum self-reported symptom score (modified Jackson score) and shedding titrations from nasal-pharyngeal washes after inoculation. , RNAseq data (genematrix_TMP.csv): Whole blood was collected in PAXgene™ Blood RNA tubes (PreAnalytiX), and total RNA extracted using the PAXgene™ Blood miRNA Kit (QIAGEN) using the manufacturer’s recommended protocol. RNA quantity and quality were assessed using Nanodrop 2000 spectrophotometer (Thermo-Fisher) and Bioanalyzer 2100 with RNA 6000 Nano Chips (Agilent). RNA sequencing libraries were prepared using Illumina TruSeq mRNA Library Kit with RiboZero Globin depletion, and sequenced on an Illumina NextSeq sequencer with 50bp paired-end reads (target 40M reads per sample). After demultiplexing to FASTQ paired-end read counts files, the 396 samples were TPM transformed using HISAT2 software with the reference genome Homo_sapiens.GRCh38.84. Each sample corresponds to one of the 18 subjects at one of 22 time points. One of these samples was of insufficient quality to be mapped to read counts. In addition to the TPM normalized RNAseq data contained in this repository, the raw FASTQ data for the 395 samples are deposited in the GEO repository ( https://www.ncbi.nlm.nih.gov/geo), Accession # GSE215087. , Cognitive data (sample.json): Outcomes from a NeuroCognitive Performance Test (NCPT) that was taken approximately 3 time daily by all volunteers. The NCPT is a repeatable, web-based, computerized, cognitive assessment platform designed to measure subtle changes in performance across multiple cognitive domains. Subject scores along 18 cognitive variables data were collected at approximated 22 time points during the challenge study. The data structure sample.json contains the raw cognitive data and the extracted 18 cognitive scores over time for each subject. , The Visual Analog Fatigue Scale (sample.json): the VAFS is a measure of cognitive fatigue that was measured approximately 3 times per day at the same time as the NCPT and blood draw. , Wearable device data (sample.json): participants wore an Empatica E4 device for the duration of the challenge study. Summarized features are provided for each subject that include sleep duration (mean and std), sleep offset (mean and std), and temperature (mean and std). , Steroid data was also collected and is included in the sample.json. This steroid data was collected from the whole blood samples and consists of cortisol, melatonin, and DHEAS. , and See README.txt for more specific details on the data structures contained in the sample.json, subject.json, and genematrix_TPM.csv files.
- Keyword:
- human challenge study and cognitive health and immunity
- Citation to related publication:
- X She, Y Zhai, R Henao, CW Woods, C Chiu, Geoffrey S. Ginsburg, Peter X.K. Song, AO. Hero, “Adaptive multi-channel event segmentation and feature extraction for monitoring health outcomes,” IEEE Transactions on Biomedical Engineering, vol. 68, no. 8, pp. 2377-2388, Aug. 2021, doi: 10.1109/TBME.2020.3038652. Available on arxiv:2008.09215 , Emilia Grzesiak, Brinnae Bent, Micah T. McClain, Christopher W. Woods, Ephraim L. Tsalik, Bradly P. Nicholson, Timothy Veldman, Thomas W. Burke, Zoe Gardener, Emma Bergstrom, Ronald B. Turner, Christopher Chiu, P. Murali Doraiswamy, Alfred Hero, Ricardo Henao, Geoffrey S. Ginsburg, Jessilyn Dunn Assessment of the Feasibility of Using Noninvasive Wearable Biometric Monitoring Sensors to Detect Influenza and the Common Cold Before Symptom Onset. JAMA Netw Open. 2021;4(9):e2128534. doi:10.1001/jamanetworkopen.2021.28534 , E Sabeti, S Oh, PX Song, A Hero. “A Pattern Dictionary Method for Anomaly Detection,” Entropy, vol 24, pp. 1095 Aug 2022. doi: 10.3390/e24081095, and Yaya Zhai, P. Murali Doraiswamy, Christopher W. Woods, Ronald B. Turner, Thomas W. Burke, Geoffrey S. Ginsburg, Alfred O. Hero, "Pre-exposure cognitive performance variability is associated with severity of respiratory infection," manuscript under review.
- Discipline:
- Health Sciences and Social Sciences