Search Results for: immune cells

The NCI Clinical Research Correlatives Core provides non-CLIA-certified spectral flow cytometric assays to support clinical trials conducted in the CCR. The core specializes in immunophenotyping and immune monitoring assays. Established Technologies Spectral flow cytometry (Cytek), Read More...

The Spatial Imaging Technology Resource (formerly the Nanoscale Protein Analysis Section of the Collaborative Protein Technology Resource or CPTR) provides expertise and service in state-of-the-art protein analysis technologies to advance CCR research in basic discovery Read More...

Employing spatial biology techniques enables acquisition of transcript and protein data from intact tissue sections, and in turn, spatial distribution information and cellular interaction patterns are revealed.

September 8, 2022 crex.nih.gov CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Science & Technology Seminars and Training Events Upcoming Seminars and Educational Opportunities The following Read More...

The Center for Advanced Tissue Imaging (CAT-I) is an NIAID and NCI supported effort involving collaborative studies between experts in the Laboratory of Immune System Biology, DIR, NIAID and investigators in the DIR, NIAID and Read More...

The Optical Microscopy Analysis Core (OMAC), formerly known as the Optical Microscopy Analysis Lab (OMAL),  focuses its research and development activities to quantitatively understand the molecular basis of three-dimensional (3D) cell organization, motility, invasion, and Read More...

Back Services: Biophysics Facility offers DSC as an open-access instrument. First-time users must complete training before gaining access to the instrument reservation calendar. Location: Building 50, room 3123 Description: The differential scanning calorimeter measures the constant pressure Read More...

Back Services: Biophysics Facility offers fluorometers as open-access instruments.  First-time users must complete a short training session before gaining access to the instrument reservation calendar. Location: Building 50, room 3226 Description: Some substances reemit light after Read More...

Back Services: This instrument is not user accessible.  We provide both data collection and data analysis services. Location: Building 50, room 3331 Description: An analytical ultracentrifuge is equipped with absorption and interference optical systems that monitor Read More...

The CCR Microscopy Core provides NCI investigators access to state-of-the-art imaging tools and techniques, including light sheet fluorescence, high-resolution confocal, multi-photon, and super-resolution microscopy. The mission of the CCR Microscopy Core Facility is to support Read More...

The National Clinical Trials Network Biospecimen Banks (NCTN) receive, store, and distribute human cancer biospecimens collected on NCTN clinical trials . NCTN Biobanks provide cancer researchers with quality, well-annotated biospecimens and associated clinical information. The NCTN Read More...

CREx News & Updates July 2021   Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Collaborative Research Exchange (CREx) News Site Spotlight FACILITY HIGHLIGHTS Learn more about services from the NHLBI Read More...

Services: Biophysics Facility offers CD as an open-access instrument.  First-time users must complete a short training session before gaining access to the instrument reservation calendar. Location: Building 50, room 3123 Description: CD spectroscopy measures the difference Read More...

Back Services: Biophysics Facility offers CD as an open-access instrument.  First-time users must complete a short training session before gaining access to the instrument reservation calendar. Location: Building 50, room 3123 Description: CD spectroscopy measures the Read More...

Molecular Cytogenetics Core Facility facilitates the assessment of structural and numerical genomic changes in pre-cancer and cancer research models. This core provides comprehensive support for the cytogenetic analysis of cells from human and research animal Read More...

The NIH Tetramer Core Facility (TCF) provides custom synthesis and distribution of soluble major histocompatibility complex (MHC)-peptide tetramer reagents that can be used to detect antigen-specific T cells. Approved investigators pay all shipping and Read More...

The CCR-Frederick Flow Cytometry Core Facility provides research support to the Frederick-CCR community, including cytometry analysis and sorting services, instrument maintenance, new user training, and technical consultation. Typical Assays Performed by Core Instruments Immunophenotyping of Read More...

The facilities at AIM are available for use by the entire NIH intramural research community. While we welcome users with any size imaging project, AIM specializes in large, yearlong (or longer), collaborative research efforts with Read More...

The NCI High-Throughput Imaging Facility (HiTIF) works in a collaborative fashion with NCI/NIH Investigators by providing them with the necessary expertise, instrumentation, and software to develop and execute advanced High-Throughput Imaging (HTI) assays. These Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New CREx Program Manager The CREx Team is happy to announce Deepika Velampati as the new CREx Program Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Intramural Core Resources NHGRI Flow Cytometry Core The Core performs high quality single cell analysis through the Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New CREx User Survey The CREx Team is carrying out a CREx User Survey. We would greatly appreciate Read More...

The Biopharmaceutical Development Program (BDP) provides resources for the development of investigational biological agents. The BDP supports feasibility through development and Phase I/II cGMP manufacturing plus regulatory documentation. The BDP was established in 1993. We Read More...

Many established and emerging technologies are available to CCR scientists.  This technology-rich environment makes the CCR a unique place to conduct scientific research.  Through the OSTR, the CCR continues to find Read More...

The Biomedical Engineering and Physical Science (BEPS) shared resource supports NIH’s intramural basic and clinical scientists on applications of engineering, physics, imaging, measurement, and analysis. BEPS is centrally located on the main NIH campus Read More...

NCI LASP Genome Modification Core (GMC) is a CCR-dedicated facility that provides advice, training, and reagents to NCI scientists seeking to utilize CRISPR and other nucleases to generate genome modifications in primary cells, cell lines, Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More NIH Research Festival The NIH Research Festival highlights the groundbreaking science and the vibrant NIH community driving our Read More...

Mass Spectrometry Section of the Collaborative Protein Technology Resource (Bldg. 37) Core Capabilities: Identification of proteins in complexes, organelles, subcellular fractions, or fluids. Global relative protein quantitation. Quantitation by isotopic labeling of cells in culture (SILAC) Read More...

The Mass Cytometry Core (MCC) provides access to cutting-edge platforms and expert technical support for high-dimensional single-cell analysis and spatial proteomic profiling. A central expertise of the core is Imaging Mass Cytometry (IMC), which allows Read More...

CREx Monthly Newsletter Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More New CREx User Survey The CREx Team is carrying out a CREx User Survey. If you haven’t Read More...

The Blood Processing Core monitors viral load in patients with HIV and performs sequential studies using samples obtained from patients with cancer, AIDS, chronic granulomatous disease, or other diseases associated with immunologic dysfunction. The core Read More...

CCR VOLUME Electron Microscopy Core (CVEMC),  formerly known as volume Electron Microscopy (vEM), aims to develop new techniques in volume electron microscopy (vEM) and, in collaboration with CCR Investigators, apply these techniques to research cell Read More...

The Specimen Resource Locator (SRL) is a biospecimen resource database designed to help researchers locate resources that may have the samples needed for their investigational use. This publicly searchable database includes information about biospecimen banks Read More...

NCI LASP Animal Research Technology Support (ARTS) provides customized technical support for basic and translational animal-based research to the scientific community. We offer a wide array of services ranging from expert colony management to the Read More...

.row { display: flex; justify-content: space-around; align-items: flex-start; margin: 20px; } .column { text-align: center; padding: 10px; width: 30%; } .column img { display: block; margin: 0 auto; width: 150px; height: 150px; } .column strong { display: block; margin-top: 10px; } Background: Intravital microscopy (IVM) Read More...

The CCR Genomics Core is located in Building 41 on the NIH Bethesda campus. The primary goal of the Core is to provide investigators from CCR/NCI and other NIH Institutes access to genomic technologies and Read More...

The OSTR offers cutting-edge technology platforms to the CCR scientific community through centralized facilities. The videos accessed through this page are designed to introduce the various scientific methodologies OSTR makes available through the cores on Read More...

The PET Department, CC, functions as a core facility that supports basic, translational, and clinical research using PET. It is a vertically integrated facility, with resources to produce positron-emitting radionuclides, manufacture PET radiopharmaceuticals in a Read More...

The CCR Building 41 Flow Cytometry Core is a full-service facility within the Center for Cancer Research that supports over 150 users representing 26 laboratories. The Core Facility provides instrument and software training, technical expertise, assay development, and Read More...

The Laboratory Animal Sciences Program (LASP) of the Frederick National Laboratory operates a Gnotobiotics Facility (GF) to support research focused on the role of microbiota in cancer inflammation, pathogenesis, and treatment response. The GF can Read More...

What is Xenium? Xenium is a high-resolution, imaging-based in situ spatial profiling technology from 10x Genomics that allows for simultaneous expression analysis of RNA targets (currently in range of 100’s) within the same tissue section. Read More...

The research conducted within the Synthetic Biologics Core (SBC) Facility has a dual role: Generate chemical biology tools and drug candidates for molecular targets identified by NCI research groups, Develop novel effective methods and tools Read More...

The CCR Collaborative Bioinformatics Resource (CCBR) is a centrally funded resource group which provides a mechanism for CCR researchers to obtain many different types of bioinformatics assistance to further their research goals. The group has Read More...

CREx News & Updates January 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight NCI ANTIBODY CHARACTERIZATION LABORATORY (ACL) The ACL specializes in rigorously validating antibodies for signaling and Read More...

CREx News & Updates February 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Site Spotlight ORS Division of Veterinary Resources (DVR) DVR is the central NIH lab animal support program Read More...

CREx News & Updates June 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Click below to learn how easy it is to navigate the CREx platform. These short videos will Read More...

CREx News & Updates May 2022 Learn about the NIH Collaborative Research Exchange (CREx), Core Facilities, Webinars, & More Click below to learn how easy it is to navigate the CREx platform. These short videos will Read More...

The Genomics and Pharmacology Facility is part of the NCI's Center for Cancer Research (CCR), within the Developmental Therapeutics Branch. Its mission is to manage and assess molecular interaction data obtained through multiple platforms, increase Read More...

Protein and Metabolite Characterization Core (PMCC), formerly known as the Protein Characterization Lab (PCL),  offers various technologies to CCR investigators to characterize proteins and metabolites. The core develops and applies state-of-the-art analytical technologies, primarily mass Read More...

Our operational objectives are to provide state-of-the-art OMICS technologies in support of the Genetics Branch (GB) investigators and collaborators. Research Services Wet Lab Single cell isolation from fresh, frozen, and FFPE tissue, DNA/RNA extractions Read More...

Home About the Biophysics Core Biophysics Core Services [tabby title="Instrumentation"] NHLBI Biophysics Core The Biophysics Core Facility: Overview Core Facilities provide scientific resources, cutting-edge technologies and novel approaches to support DIR scientists. Availability of Read More...

The Chemistry and Synthesis Center (CSC) of the National Heart, Lung, and Blood Institute (NHLBI) provides IRP scientists with targeted imaging probes and chemical tools that help accelerate cell-based assays, in vivo imaging studies, and Read More...

2024 Date: Tuesday, October 15, 2024 Time and Location: 11 am EST, ZOOM (INVITATION BY LMIG LIST SERVER) Speaker: Dr. Diego Presman (U Buenos Aires) Title: “Insights on Glucocorticoid Receptor Activity Through Live Cell Imaging” Summary: Eucaryotic transcription factors ( Read More...

No summary available.

12/06/2021 - Presenter: Dr. Zemin Zhang is a Professor at Peking University and a Principal Investigator at Biomedical Pioneering Innovation Center (BIOPIC). He obtained his BS from Nankai University and PhD from Penn State University. He Read More...

12/03/2021 - *** This seminar is open to the public, but registration is required. Recent genomic and imaging technologies that measure features at the resolution of single cells present exciting opportunities to characterize diverse immune cell states Read More...

01/21/2025 - About the Speaker: Hari completed his PhD in Cell Biology at the University of Toronto, where he used single-molecule imaging techniques to reveal how multimolecular interactions govern early signaling events in individual immune cells. Read More...

05/19/2025 - Immunotherapy has the potential to revolutionize the way we treat cancer, but a key challenge has been finding ways to tailor that therapy to the right patient at the right time. Attend this webinar, Read More...

09/29/2023 - Dr. Peng Jiang started his research program at NCI in July 2019. His lab focuses on developing big data and artificial intelligence frameworks to identify biomarkers and new therapeutic approaches for cancer immunotherapies in solid Read More...

06/22/2023 - The Bhattacharya Lab at the UCSF Parnassus Campus is focused on the functional role of monocyte-derived macrophages in the onset and persistence of fibrosis in the lung. We are addressing the following major questions, Read More...

2024 Senatorov IS, Bowman J, Jansson KJ, Alilin AN, Capaldo BJ, Lake R, Riba M, Abbey YC, Mcknight C, Zhang X, Raj S, Beshiri ML, Shinn P, Ngyuyen H, Thomas CJ, Corey E, Kelly K. Castrate Read More...

01/19/2023 - The National Cancer Institute (NCI) has launched a new virtual seminar series titled NCI Rising Scholars: Cancer Research Seminar Series. This monthly seminar series is an opportunity to highlight the research and the important Read More...

05/02/2024 - To register to attend, you must log in to your SITC Cancer Immunotherapy CONNECT account. Don’t have an account?  Create a free one . Join Dr. Mullin of the Roswell Read More...

01/19/2024 - Trey Ideker, Ph.D., is a professor of medicine, bioengineering, and computer science, and former chief of genetics at the University of California San Diego (UCSD). Additionally, he is director or co-director of the Read More...

02/24/2021 - Register Description Join us to learn more about MetaCore , an integrated and curated knowledge database and software suite for pathway analysis of experimental data and gene lists. This workshop will review two case studies. Read More...

03/10/2020 - MetaCore™ is an integrated curated knowledge database and software suite for pathway analysis of experimental data and gene lists. This workshop will review two cases: the first will investigate how infiltrating myeloid derived suppressor Read More...

Research Mission The goal of OMAC’s research is to understand molecular mechanisms driving carcinogenesis and the reversal of this process through treatment, by utilization and advancement of optical microscopy techniques. These techniques include Read More...

04/10/2025 - TumorDecon is a computational tool at an early stage of contributing to the intersection of bioinformatics and oncology. The goal of TumorDecon is to estimate the percentages of various immune cells from gene expression Read More...

03/29/2022 - Dr. Ziv Bar-Joseph FORE Systems Biology Professor of Computer Science Machine Learning Department Computational Biology Department School of Computer Science Carnegie Mellon University Biological processes, including those involved in immune response, disease progression and Read More...

No summary available.

04/19/2024 - Dear Colleagues,    This webinar will introduce TumorDecon, a computational tool that's at an early stage of contributing to the intersection of bioinformatics and oncology.   TumorDecon aims to Read More...

10/19/2022 - Speaker: Ron Germain, M.D., Ph.D. NIH Distinguished Investigator NIAID, NIH Dr. Germain received his Sc.B. and Sc.M. from Brown University in 1970 and his M.D. and Ph.D. from Harvard Read More...

05/25/2022 - Dr. Peng Jiang of NCI’s Center for Cancer Research will discuss  CytoSig , a software-based platform that is designed to provide both a  database  of target genes modulated by cytokines (i.e., proteins secreted Read More...

04/06/2022 - In this seminar, Dr. Malachi Griffith will: introduce neoantigens, a promising area for cancer immunotherapy and  precision medicine . describe how immunogenomic and bioinformatic approaches are helping to identify neoantigens and therapeutic modalities to target Read More...

10/14/2021 - Meeting Link Forward genetic screens using CRISPR (clustered regularly interspaced short palindromic repeats)–associated nucleases like Cas9 are a powerful tool to pinpoint genes involved in disease. Initial screens capitalized on genome-scale libraries to Read More...

04/20/2021 - Abstract: Single-cell genome-wide profiling offers an approach to map transitional cell states during cell differentiation, disease onset, and drug response. Lineage-tracing, in which cells are labeled with hereditary markers, offers an approach to establishing Read More...

04/08/2021 - https://nih-irp-singlecell.github.io/SC-UsersGroup/ Presenter: George Emanuel PhD, Co-founder Vizgen, Director of Technology and Partnerships. Abstract: Biological systems are comprised of numerous cell types, intricately organized to form functional tissues and organs. Cell Read More...

06/03/2020 - The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, creates an urgent need for identifying molecular mechanisms that mediate viral entry, propagation, and tissue pathology. Single-cell analysis of healthy- and SARS-CoV-2-infected tissues offers Read More...

The goal of quality control is to keep only high quality cells (i.e., remove low quality cells (dead or dying cells), cell-free RNA, or doublets). Low quality cells will impact downstream analyses. Take care Read More...

In this tutorial, we will continue to use data from Nanduri et al. 2022, Epigenetic regulation of white adipose tissue plasticity and energy metabolism by nucleosome binding HMGN proteins , published in Nature Communications . As a reminder, Read More...

In this tutorial, we will continue to use data from Nanduri et al. 2022, Epigenetic regulation of white adipose tissue plasticity and energy metabolism by nucleosome binding HMGN proteins , published in Nature Communications . As a reminder, Read More...

2025 Sebastian R, Sun EG, Fedkenheuer M, Fu H, Jung S, Thakur BL, Redon CE, Pegoraro G, Tran AD, Gross JM, Mosavarpour S, Kusi NA, Ray A, Dhall A, Pongor LS, Casellas R, Aladjem MI. Mechanism Read More...

2024 Coutinho, L. L., Femino, E. L., Gonzalez, A. L., Moffat, R. L., Heinz, W. F., Cheng, R. Y. S., Lockett, S. J., Rangel, M. C., Ridnour, L. A. & Wink, D. A. NOS2 and Read More...

12/16/2025 - Abstract: Spatial transcriptomics (ST) is evolving rapidly as a pivotal technology in studying the biology of tumors and their associated tumor microenvironments (TME). However, where/how it can impact research remain unclear. In this Read More...

06/10/2022 - Presenter: Emile Voest, M.D., Ph.D. Professor, Medical Oncology Medical Director, Board of Directors Netherlands Cancer Institute Emile Voest is professor of Medical Oncology, senior group leader at the Netherlands Cancer Institute, senior Read More...

06/16/2021 - Please mark your calendar for the next Neuro-Oncology Branch Visiting Scholar Lecture Series: CNS Malignancies: From Basic Biology to Clinical Applications . We are pleased to have Prof. Mario L. Suva,  join us via WebEx Read More...

04/22/2021 - Abstract: Single-cell RNA-sequencing has emerged as a popular technique for dissecting temporal processes such as tumor development and cell differentiation from snapshots of asynchronous ensembles of cells. Ongoing efforts in this area are now Read More...

02/09/2021 - Sarah Teichmann Head of the Cellular Genetics Programme - Wellcome Sanger Institute - Cambridge UK Lab homepage: https://www.sanger.ac.uk/group/teichmann-group/ Venue: zoom conference https://nih.zoomgov.com/j/1619988709?pwd=dEIwM0 Read More...

09/11/2020 - Speaker: James Zou, Ph.D., Assistant Professor, Biomedical Data Science, Computer Science, and Electrical Engineering, Stanford University Register Dr. Zou will present new computer vision algorithms to capture complex morphologies and phenotypes that are Read More...

05/20/2020 - Advances in technology have reduced the cost of single cell sequencing, opening the doors to many new areas of study including transcriptome, DNA genomics, epigenomics and microbial systems. This workshop, provided by experts from Read More...

04/16/2026 - The ability to measure gene expression levels for individual cells (vs. pools of cells) and with spatial resolution is crucial to address many important biological and medical questions, such as the study of stem Read More...

08/29/2024 - Dr. Mardis is an internationally recognized expert in cancer genomics, with ongoing interests in the integrated characterization of cancer genomes, defining DNA-based somatic and germline interactions and RNA-based pathways, and immune microenvironments that lead Read More...

There are several metrics that can be used to assess overall quality. The base workflow from Seurat suggests the following: nCount_RNA - the absolute number of RNA molecules (UMIs) per cell (i.e., count Read More...

The Seurat v5 object doesn’t require all assays have the same cells. In this case, Cells() can be used to return the cell names of the default assay while colnames() can be used to Read More...

There are a number of ways to explore the PCA results. Two of the more useful visualizations include the DimHeatmap() and ElbowPlot() . DimHeatmap() allows us to visualize the top genes contributing to each PC. Both Read More...

Now, we can either use our filtering parameters directly with subset() or provide a cells argument. # use different parameters; established above adp_filt 350 & nCount_RNA >650 & percent.mt

Some tools have been described in the previous session (see here ). Today, we will be focusing on the SingleR tool, which also requires the celldex package . In short, SingleR operates by comparing your current dataset Read More...

The total number of detected transcripts expressed in a cell is dependent on the amount of mRNA in a cell. Cells naturally vary in the total amount of mRNA expressed. However, the chemistry of the Read More...

05/08/2024 - If you’re a researcher, clinician, informaticist, commercial partner, or policy maker interested in cancer  data science , register to attend this Cancer Data Exchange Summit. You’ll have Read More...

01/03/2024 - on Wednesday, January 3rd at noon in Building 41, Conference Room C507/C509 and online. In-person attendance is encouraged.  Dr. Larson's research is focused on understanding gene expression in eukaryotic Read More...

02/26/2026 - Scientific discovery is increasingly limited not by data availability, but by our ability to integrate evidence, generate hypotheses, and iteratively test them at scale. Recent advances in foundation models and large language models suggest Read More...

The identification of cell types in single cell genomics data (cell type annotation) can provide new insights into cellular identities, heterogeneity, and functional roles. Cell type annotation is challenging Read More...

11/16/2022 - Join Drs. Jennifer E. Beane-Ebel and Vijaya B. Kolachalama of Boston University as they discuss their studies of pathological and molecular alterations associated with lesion severity and progression. Topics include deep learning methods for Read More...

03/05/2021 - Overview: The Human Cell Atlas (HCA) is an ambitious global initiative that aims to create a comprehensive reference map of all human cells—the fundamental units of life—as a basis for both understanding Read More...

11/30/2020 - Register Meeting ID: 918 4307 1125 One tap mobile +13017158592,,91843071125# US (Washington D.C) +19294362866,,91843071125# US (New York) Dial by your location +1 301 715 8592 US (Washington D.C) +1 929 436 2866 US (New York) +1 312 626 6799 US (Chicago) +1 346 248 7799 US (Houston) +1 669 900 6833 US (San Jose) +1 253 215 8782 US (Tacoma) Meeting Read More...

11/05/2025 - This talk delves into the innovative utilization of generative AI in propelling biomedical research forward. By harnessing single-cell sequencing data, we developed scGPT, a foundational model that extracts biological insights from an extensive dataset Read More...

Once we have read in the matrices, the next step is to create a Seurat object. The Seurat object will be used to store the raw count matrices, sample information, and processed data (normalized counts, Read More...

In this tutorial, we are using data from Nanduri et al. 2022, Epigenetic regulation of white adipose tissue plasticity and energy metabolism by nucleosome binding HMGN proteins , published in Nature Communications . The raw count matrices are Read More...

When using SingleR, the 3 primary parameters are the experimental dataset, the reference dataset, and the labels being used. Continuing with the main labels of the MouseRNASeq dataset on the full dataset looks like this: annot = Read More...

The general experimental design was as follows: WT vs DKO mice at two time points, 0 and 6 days. At day 0, cells were in a preadipocyte state, while at day 6 they had differentiated into adipocytes. Each time Read More...

The primary means of running differential expression in Seurat is through the FindMarkers function. The main usage for this function is as follows: FindMarkers(object,ident.1= ..., ident.2=..., test.use="wilcox", min.pct = 0.01, logfc. Read More...

The role of cell clustering is to identify cells with similar transcriptomic profiles by computing Euclidean distances across genes . However, scRNA-Seq experiments include highly dimensional data, with each cell associated with the expression of thousands Read More...

Integration is the process of aligning the same cell types across samples, treatments, data sets, batches, etc. Clustering should represent biological differences and not technical artifacts. Integration is not always necessary. You should run through Read More...

Following normalization, the next step is to find variable features. In most scRNA-seq experiments only a small proportion of the genes will be informative and biologically variable. A subset of cells with high cell to Read More...

The quality of the cells should be assessed considering the above metrics jointly and not simply in isolation. QC can be applied manually by subjectively choosing and applying thresholds, which can be quite arbitrary. Alternatively, Read More...

From the paper where this data was obtained, the following (incomplete) list of gene markers was obtained: Mmp3: preadipocytes Mki67: proliferating cells Fabp4: differentiating beige adipocytes and differentiated beige adipocytes Scd1: differentiated beige adipocytes Ucp1: Read More...

As we can see above, the glimpse command shows the metadata that can be used to classify the cells. Within Seurat, the metadata is used to define the "identity" of the dataset. This Read More...

It is next standard to scale and center the features in the data set prior to dimension reduction or visualization via heatmap. Scaling the data will keep highly expressed genes from dominating our analysis. This Read More...

Single cell RNASeq is a remarkably powerful tool for analyzing populations of cells that can be recovered from various experiments. Clustering and cell type annotation can be used to distinguish different populations with a level Read More...

03/06/2024 - The National Institutes of Health (NIH) promotes the use of Common Data Elements (CDEs) to standardize data collection, sharing, and interoperability in health and disease research. In line with Congressional Appropriations language, the Office Read More...

01/24/2024 - Dear colleagues,   Please join us on Wed., Jan. 24 when Dr. Avi Ma’ayan from the Icahn School of Medicine at Mount Sinai will demonstrate how to use these tools to access hundreds of thousands Read More...

10/29/2025 - The Buenrostro lab is broadly dedicated to advancing our knowledge of gene regulation and the downstream consequences on cell fate decisions. To do this, the Buenrostro lab develops new technologies utilizing molecular biology, microscopy Read More...

05/29/2025 - Prostate cancer exhibits significant intratumoral heterogeneity, driving a spectrum of phenotypes ranging from indolent disease to aggressive metastasis, challenging risk stratification and treatment. A key feature of this heterogeneity is clonal diversity, encompassing both Read More...

05/20/2025 - In this talk, Dr. Hwang will discuss three examples of applying single-cell and spatial oncology approaches to the study of pancreatic cancer. First, he will explain how they utilized single-nucleus RNA-sequencing to uncover an Read More...

04/10/2025 - This one hour online training introduces participants to the tools and techniques for analyzing and quantifying microscopy images using MATLAB’s low-code algorithms. Participants will learn how to preprocess images, segment regions Read More...

03/27/2025 - Please note: Registration is required to get the Meeting Link for this event. Please pre-register. Aviv Regev is head of Genentech Research and Early Development. Formerly, Regev was Chair of the Faculty and Core Read More...

03/20/2025 - Please note: Registration is required to get the Meeting Link for this event. Please pre-register. BTEP and the Single Cell and Spatial Transcriptomics Interest Group jointly present: Quantifying spatiotemporal dynamics during embryogenesis is crucial Read More...

12/05/2024 - This one and a half hour online training will provide a demonstration of how to identify cell types based on statistics, visualization, and canonical markers. One Peripheral blood mononuclear cells (PBMCs) sample will be Read More...

11/06/2024 - Join Our Training on Spatial Omics Data Analysis with MAWA (Multiplex Analysis Web Apps).   Want to learn how to process and analyze your spatial proteomics/transcriptomics data? Join us for four virtual hour-long sessions Read More...

10/29/2024 - Join Our Training on Spatial Omics Data Analysis with MAWA (Multiplex Analysis Web Apps).   Want to learn how to process and analyze your spatial proteomics/transcriptomics data? Join us for four virtual hour-long sessions Read More...

10/24/2024 - Recent advances in artificial intelligence (AI) have revolutionized the use of hematoxylin and eosin (H&E)-stained tumor slides for precision oncology, enabling data-driven approaches to predict molecular characteristics and therapeutic outcomes. In Read More...

10/22/2024 - Join Our Training on Spatial Omics Data Analysis with MAWA (Multiplex Analysis Web Apps).   Want to learn how to process and analyze your spatial proteomics/transcriptomics data? Join us for four virtual hour-long sessions Read More...

10/15/2024 - Join Our Training on Spatial Omics Data Analysis with MAWA (Multiplex Analysis Web Apps).   Want to learn how to process and analyze your spatial proteomics/transcriptomics data? Join us for four virtual hour-long sessions Read More...

07/11/2024 - Please join us for this special event featuring three speakers on the topic of Single-Cell Spatial Transcriptomics. George Zaki, Ph.D., Director, Applied Scientific Computing, BACS, The Frederick National Lab for Cancer Research, NCI/ Read More...

Partek Flow enables scientists to build comprehensive workflows for analyzing multi-omics high throughput sequencing data including DNA and variant calling, bulk and single cell modalities for RNA, ChIP, and ATAC, spatial transcriptomics, CITE, and immune Read More...

06/13/2024 - The schedule for this week consists of one presentation: Lorenz Adlung, UMC Hamburg-Eppendorf, will discuss: scMod: Marrying machine learning and deterministic modelling of longitudinal single-cell data Single-cell-based methods such as flow cytometry or single-cell Read More...

06/10/2024 - Please join us for the next talk in our single cell and spatial interest group series.    Dr. Jasmine Plummer is a faculty member and the Director of St. Jude Children' Read More...

Now that we have loaded the package, we can import our data. Generally, in R programming, functions that involve data import begin with "read / Read". Seurat includes a number of read functions for Read More...

This tutorial was designed to demonstrate common secondary analysis steps in a scRNA-Seq workflow. We will start with a merged Seurat Object with multiple data layers representing multiple samples. Throughout this tutorial we will Apply Read More...

Differential expression analysis is the process of identifying genes that have a significant difference in expression between two or more groups. For many sequencing experiments, regardless of methodology, differential analysis lays the foundation of the Read More...

The metadata in the Seurat object is located in adp@metadata and contains the information associated with each cell. We can access the metadata using: head(adp@meta.data) #using head to return only the Read More...

This tutorial has been designed to demonstrate common secondary analysis steps in a scRNA-Seq workflow. We will start with a merged Seurat Object with multiple data layers representing multiple samples that have already been filtered Read More...

Clustering is used to group cells by similar transcriptomic profiles. Seurat uses a graph based clustering method. You can read more about it here . The first step is to compute the nearest neighbors of each Read More...

Now, that we have clusters, we can use differential expression analysis to uncover markers that define our clusters. These markers can be used to assign cell types to our clusters. First, because we are working Read More...

The FindAllMarkers function is particularly useful in identifying the differentially expressed genes that distinguish several groups, such as seen here in the clusters. What makes this unique is that none of the identities are initially Read More...

To look at how these metrics correlate, we can use FeatureScatter() , which can be used to visualize feature-feature relationships and also be applied to other data stored in our Seurat object (e.g., metadata columns, Read More...

05/28/2024 - The symposium's goals are to explore the integration of AI in understanding and managing immunological data, foster a paradigm shift in how immunologists leverage AI to propel their research forward, and inform NIAID Read More...

05/06/2024 - Have you been looking for ways to use artificial intelligence (AI) in clinical practice but not sure where to start? Attend this webinar for tips from Dr. Anant Madabhushi on applying AI in precision Read More...

03/05/2024 - This in-person workshop will show participants how to identify cell types based on statistics, visualization, and canonical markers. One Peripheral blood mononuclear cells (PBMCs) sample will be used to illustrate a basic Single Cell Read More...

The geom functions require a mapping argument. The mapping argument includes the aes() function, which "describes how variables in the data are mapped to visual properties (aesthetics) of geoms" (ggplot2 R Documentation). If Read More...

01/10/2024 - Our series of talks continues next month with two 20-minute presentations focused on single cell genomics studies in the model organism zebrafish.  There will be light refreshments and we encourage attendees to Read More...

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Listed below are the video recordings of past BTEP events (classes, seminars, workshops). Videos are hosted on various servers and may play slightly differently. Some videos may be downloaded for local viewing. Recorded Videos of Read More...

10/24/2024 - NIH Text Mining and Natural Language Processing SIG is pleased to welcome you to this special event featuring two extraordinary speakers focused on the applications of Deep Learning in Computational Biology.  & Read More...

Much like pseudobulk differential expression, the RNA expression can be collapsed into pre-defined components, such as the clusters, if it is believed that cell-to-cell variation is inducing too much confusion in the labeling. This collapsing Read More...

Learning Objectives This tutorial was designed to demonstrate common secondary analysis steps in a scRNA-Seq workflow. We will start with a merged Seurat Object with multiple data layers representing multiple samples. Throughout this tutorial we Read More...

This lesson provides an introduction to R in the context of single cell RNA-Seq analysis with Seurat. Learning Objectives Learn about options for analyzing your scRNA-Seq data. Learn about resources for learning R programming. Learn Read More...

1. Introduction and Learning Objectives This tutorial has been designed to demonstrate common secondary analysis steps in a scRNA-Seq workflow. We will start with a merged Seurat Object with multiple data layers representing multiple samples that Read More...

One particular critique of differential expression in single cell RNASeq analysis is p-value "inflation," where the p-values get so small that there are far too many genes exist with p-values below 0.05, even after Read More...

Data visualization with ggplot2 Objectives To learn how to create publishable figures using the ggplot2 package in R. By the end of this lesson, learners should be able to create simple, pretty, and effective figures. Read More...

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