Searching the RRID Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

Preparing word cloud

×

Search

Type in a keyword to search

Filter by records added date
See new records

Options


Current Facets and Filters

  • Group:human cell atlas method development community (facet)

Facets


Recent searches

Snippet view Table view
Click the to add this resource to a Collection

198 Results - per page

Show More Columns | Download 198 Result(s)

Name Authors DOI Group Summary Associated Publications RRIDs used Affiliations External URL Version Publication Date Proper Citation Record Last Update
In situ sequencing for RNA analysis in tissue sections
 
Resource Report
Resource Website
Daniel Gyllborg, Chika Yokota, Mats Nilsson DOI:10.17504/protocols.io.s8vehw6 Human Cell Atlas Method Development Community, Molecular Diagnostics - Mats Nilsson Group, Neurodegeneration Method Development Community In situ sequencing method for parallel targeted analysis of short RNA fragments in morphologically preserved tissue. This protocol can be used to detect RNA molecules at the single cell level to aid in the identification of cell types according to their gene expression. The technique uses padlock probes to target desired genes of interest and rolling circle amplification to amplify signal for a high throughput methodolgy of spatial transcriptomics. With the use of barcode sequencing, identification of numerous genes is possible through multiplexing. Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden, Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden, Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden https://www.nature.com/articles/nmeth.2563 1 2019 Daniel Gyllborg, Chika Yokota, Mats Nilsson 2019. In situ sequencing for RNA analysis in tissue sections. protocols.io https://dx.doi.org/10.17504/protocols.io.s8vehw6 2021-04-15 09:15:50
Single Nucleus Drop-seq (snDrop-seq)
 
Resource Report
Resource Website
Song Chen, Blue B. Lake, Sarah Urata, Kun Zhang DOI:10.17504/protocols.io.zmvf466 Human Cell Atlas Method Development Community, KPMP The protocol presented here is a Drop-Seq protocol modified for single nuclei. The original Drop-Seq protocol comes from the McCarroll Lab in the Department of Genetics, Harvard Medical School.http://mccarrolllab.org/download/905/ University of California, San Diego, University of California, San Diego, University of California, San Diego, University of California, San Diego http://genome-tech.ucsd.edu/ZhangLab/ 1 2020 Song Chen, Blue B. Lake, Sarah Urata, Kun Zhang 2020. Single Nucleus Drop-seq (snDrop-seq). protocols.io https://dx.doi.org/10.17504/protocols.io.zmvf466 2021-04-15 09:15:29
Protocol for nuclei isolation from fresh and frozen tissues for parallel snRNA-Seq and snATAC-Seq on 10x ChromiumTM platform using the same nuclei preparation (UPDATED version)
 
Resource Report
Resource Website
Luciano Martelotto DOI:10.17504/protocols.io.bdeni3de Human Cell Atlas Method Development Community This protocol is an adaptation and extension of the 'Frankenstein' protocol – originally developed for nuclei isolation from fresh and frozen tissue for snRNA-Seq – in order to perform snATAC-Seq on the same nuclei prep. It has been successfully applied to fresh, snap/flash and cryopreserved frozen cell lines as well as to tissue derived from solid tumours and other tissues such as pancreas adenocarcinoma (PDAC), breast cancers, pheochromocytomas/paragangliomas, normal paraganglia, brain organoids, PDAC organoids, ovary, fallopian tube, mouse brain and sperm using the Chromium Platform (10x Genomics). Harvard Medical School 4 2020 Luciano Martelotto 2020. Protocol for nuclei isolation from fresh and frozen tissues for parallel snRNA-Seq and snATAC-Seq on 10x ChromiumTM platform using the same nuclei preparation (UPDATED version). protocols.io https://dx.doi.org/10.17504/protocols.io.bdeni3de 2021-04-15 09:15:33
CGAP Human Spleen Dissociation
 
Resource Report
Resource Website
Adam Hunter DOI:10.17504/protocols.io.qz3dx8n Human Cell Atlas Method Development Community Mechanical dissociation of human spleen tissue to single cells for use in 10X chromium scRNA-Seq preparation.  CGAP 1 2018 Adam Hunter 2018. CGAP Human Spleen Dissociation. protocols.io https://dx.doi.org/10.17504/protocols.io.qz3dx8n 2021-04-15 09:15:32
Preparation of Single-Cell RNA-Seq Libraries for Next Generation Sequencing
 
Resource Report
Resource Website
John J. Trombetta, David Gennert, Diana Lu, Rahul Satija, Alex K. Shalek, Aviv Regev DOI:10.17504/protocols.io.n6gdhbw Human Cell Atlas Method Development Community For the past several decades, due to technical limitations, the field of transcriptomics has focused on population‐level measurements that can mask significant differences between individual cells. With the advent of single‐cell RNA‐Seq, it is now possible to profile the responses of individual cells at unprecedented depth and thereby uncover, transcriptome‐wide, the heterogeneity that exists within these populations. This unit describes a method that merges several important technologies to produce, in high‐throughput, single‐cell RNA‐Seq libraries. Complementary DNA (cDNA) is made from full‐length mRNA transcripts using a reverse transcriptase that has terminal transferase activity. This, when combined with a second “template‐switch” primer, allows for cDNAs to be constructed that have two universal priming sequences. Following preamplification from these common sequences, Nextera XT is used to prepare a pool of 96 uniquely indexed samples ready for Illumina sequencing. Curr. Protoc. Mol. Biol. 107:4.22.1‐4.22.17. © 2014 by John Wiley & Sons, Inc. Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA, Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA, Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA, Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA, Department of Chemistry and Chemical Biology and Department of Physics, Harvard University, 12 Oxford Street, Cambridge, MA 02138, USA, Howard Hughes Medical Institute, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02140, USA https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4338574/ 1 2018 John J. Trombetta, David Gennert, Diana Lu, Rahul Satija, Alex K. Shalek, Aviv Regev 2018. Preparation of Single-Cell RNA-Seq Libraries for Next Generation Sequencing. protocols.io https://dx.doi.org/10.17504/protocols.io.n6gdhbw 2021-04-15 09:15:32
2: User-friendly protocol: Oligo ordering and preparation (SABER-FISH)
 
Resource Report
Resource Website
Jocelyn Y. Kishi, Sylvain W. Lapan, Brian J Beliveau, Emma R. West, Allen Zhu, Hiroshi M. Sasaki, Sinem Saka, Yu Wang, Constance L Cepko, Peng Yin Human Cell Atlas Method Development Community Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA; Department of Systems Biology, Harvard Medical School, Boston, MA, USA; These authors contributed equally, Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA; These authors contributed equally, Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA; Department of Systems Biology, Harvard Medical School, Boston, MA, USA; Present address: Department of Genome Sciences, University of Washington, Seattle, WA, USA; These authors contributed equally; Correspondence: [email protected] (P.Y.), [email protected] (C.L.C.), [email protected] (B. J. B.), Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA; These authors contributed equally, Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA; Department of Systems Biology, Harvard Medical School, Boston, MA, USA, Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA; Department of Systems Biology, Harvard Medical School, Boston, MA, USA, Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA; Department of Systems Biology, Harvard Medical School, Boston, MA, USA, Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA; Department of Systems Biology, Harvard Medical School, Boston, MA, USA, Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA; Howard Hughes Medical Institute, Chevy Chase, MD, USA; Correspondence: [email protected] (P.Y.), [email protected] (C.L.C.), [email protected] (B. J. B.), Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA; Department of Systems Biology, Harvard Medical School, Boston, MA, USA; Correspondence: [email protected] (P.Y.), [email protected] (C.L.C.), [email protected] (B. J. B.) http://saber.fish/ 1 2020 Jocelyn Y. Kishi, Sylvain W. Lapan, Brian J Beliveau, Emma R. West, Allen Zhu, Hiroshi M. Sasaki, Sinem Saka, Yu Wang, Constance L Cepko, Peng Yin 2020. 2: User-friendly protocol: Oligo ordering and preparation (SABER-FISH). protocols.io https:// 2021-04-15 09:15:36
Cambridge Fetal Thymus Dissociation
 
Resource Report
Resource Website
Jongeun Park DOI:10.17504/protocols.io.wedfba6 Human Cell Atlas Method Development Community This is protocol for fetal thymus dissociation. (Can be applied to other fetal tissues)Can be also adapted to adult thymus or lymphoid organs. (Volume of solution needs to be adjusted to take account of larger tissue size, also consider multiple rounds of digestion in this case) Wellcome Sanger Institute 1 2018 Jongeun Park 2018. Cambridge Fetal Thymus Dissociation. protocols.io https://dx.doi.org/10.17504/protocols.io.wedfba6 2021-04-15 09:15:51
615.1 URMC HTC Non-Inflated Fresh-Frozen Embedded Lung and Associated Tissue
 
Resource Report
Resource Website
Gloria Pryhuber, Heidie Huyck, Lisa Rogers, Cory Poole DOI:10.17504/protocols.io.bjtnknme Human Cell Atlas Method Development Community, Human BioMolecular Atlas Program (HuBMAP) Method Development Community, LungMap2 Consortium, URMC Pryhuber Lab Purpose and Scope of the Procedure- Rapid blocking, embedding and freezing of human lung tissue in no freezing media, 100% OCT or 5% CMC - Rapid freezing of non-lung tissue in no freezing media, 100% OCT or 5% CMC University of Rochester Medical Center, University of Rochester, University of Rochester Medical Center, University of Rochester 1 2020 Gloria Pryhuber, Heidie Huyck, Lisa Rogers, Cory Poole 2020. 615.1 URMC HTC Non-Inflated Fresh-Frozen Embedded Lung and Associated Tissue. protocols.io https://dx.doi.org/10.17504/protocols.io.bjtnknme 2021-04-15 09:15:34
RNA Imaging with MERFISH - Imaging
 
Resource Report
Resource Website
Jeffrey R. Moffitt, Xiaowei Zhuang DOI:10.17504/protocols.io.mesc3ee Human Cell Atlas Method Development Community, Neurodegeneration Method Development Community The basic imaging process for MERFISH involves several fluid handling steps, e.g. introduction of hybridization buffers and wash and imaging buffers, in conjunction with the collection of smFISH images and the photobleaching of the sample. While it would be possible to perform these fluid exchange and imaging steps manually, we strongly recommend the use of an integrated and automated fluid exchange and imaging approach. Here we provide protocols for how to construct a fluid handling system that should be compatible with a variety of microscopes. We also discuss the basic protocols for hybridizing readout probes to samples on the microscope, imaging the sample, and bleaching residual signal. Harvard University, Cambridge, Massachusetts, 02138 USA, Harvard University, Cambridge, Massachusetts, 02138 USA https://www.ncbi.nlm.nih.gov/pubmed/27241748 1 2018 Jeffrey R. Moffitt, Xiaowei Zhuang 2018. RNA Imaging with MERFISH - Imaging. protocols.io https://dx.doi.org/10.17504/protocols.io.mesc3ee 2021-04-15 09:15:42
NS-Forest version 2
 
Resource Report
Resource Website
Brian Aevermann, Richard Scheuermann DOI:10.17504/protocols.io.un7evhn Human Cell Atlas Method Development Community NS-Forest is an alogrithm that determines the minimum set of genes that are necessary and sufficient to define a cell type cluster derived from single cell RNAseq expression data. Development and stable releases can be found at : https://github.com/JCVenterInstitute/NSForest J. Craig Venter Institute, J. Craig Venter Institute 1 2018 Brian Aevermann, Richard Scheuermann 2018. NS-Forest version 2. protocols.io https://dx.doi.org/10.17504/protocols.io.un7evhn 2021-04-15 09:15:44
1: User-friendly protocol: Probe set design (SABER-FISH)
 
Resource Report
Resource Website
Jocelyn Y. Kishi, Sylvain W. Lapan, Brian J Beliveau, Emma R. West, Allen Zhu, Hiroshi M. Sasaki, Sinem Saka, Yu Wang, Constance L Cepko, Peng Yin Human Cell Atlas Method Development Community Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA; Department of Systems Biology, Harvard Medical School, Boston, MA, USA; These authors contributed equally, Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA; These authors contributed equally, Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA; Department of Systems Biology, Harvard Medical School, Boston, MA, USA; Present address: Department of Genome Sciences, University of Washington, Seattle, WA, USA; These authors contributed equally; Correspondence: [email protected] (P.Y.), [email protected] (C.L.C.), [email protected] (B. J. B.), Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA; These authors contributed equally, Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA; Department of Systems Biology, Harvard Medical School, Boston, MA, USA, Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA; Department of Systems Biology, Harvard Medical School, Boston, MA, USA, Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA; Department of Systems Biology, Harvard Medical School, Boston, MA, USA, Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA; Department of Systems Biology, Harvard Medical School, Boston, MA, USA, Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA; Howard Hughes Medical Institute, Chevy Chase, MD, USA; Correspondence: [email protected] (P.Y.), [email protected] (C.L.C.), [email protected] (B. J. B.), Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA; Department of Systems Biology, Harvard Medical School, Boston, MA, USA; Correspondence: [email protected] (P.Y.), [email protected] (C.L.C.), [email protected] (B. J. B.) http://saber.fish/ 1 2020 Jocelyn Y. Kishi, Sylvain W. Lapan, Brian J Beliveau, Emma R. West, Allen Zhu, Hiroshi M. Sasaki, Sinem Saka, Yu Wang, Constance L Cepko, Peng Yin 2020. 1: User-friendly protocol: Probe set design (SABER-FISH). protocols.io https:// 2021-04-15 09:15:54
Adult human kidney tissue cell dissociation (on ice)
 
Resource Report
Resource Website
Andrew Potter DOI:10.17504/protocols.io.q6cdzaw Human Cell Atlas Method Development Community This protocol can be used to dissociate adult human kidney “on ice” - maintaining authentic gene expression profiles. It was designed using a mix of Collagenases (Type 4, and A) which provide broad proteolytic activity, but preferentially cleave extracellular bonds, largely leaving cells intact. The total incubation time is 1 hour 20 minutes divided into two layers. At the end of the procedure, RBC lysis is performed. The total yield at the end of the procedure is ~1200 (non-RBC) cells released per mg tissue with 87% viability.In the digest mix, there is trypsin inhibitor from soybean which is designed to limit the activity of tryptic proteins in the collagenase mix which can damage the integrity of the cell. There is also 5 mM CaCl2, an activator of collagenase activity, in addition to DNAse - which chews up DNA released from dead cells, reducing cell clumping. The dissociation itself it carried out in two layers. The first layer is 30 minutes and includes trituration and shaking. After this layer, tissue clumps are settled for 1 min, and the supernatant containing released cells is removed and filtered using a 30 µM filter and rinsed with ice-cold PBS-BSA. This helps to preserve the integrity of released cells while continuing the digest clumps of undissociated cells. To the residual clumps, an additional 1 mL of enzyme mix is added and the digestion is continued for 50 additional minutes (1 hr 20 mins total time). University of Cincinnati 1 2018 Andrew Potter 2018. Adult human kidney tissue cell dissociation (on ice). protocols.io https://dx.doi.org/10.17504/protocols.io.q6cdzaw 2021-04-15 09:15:40
Adult mouse thymus dissociation (on ice)
 
Resource Report
Resource Website
Andrew Potter DOI:10.17504/protocols.io.q7edzje Human Cell Atlas Method Development Community Protocol for thymus dissociation (10-week old CD-1 female).  Cincinnati Children's Hospital Medical Center 3 2018 Andrew Potter 2018. Adult mouse thymus dissociation (on ice). protocols.io https://dx.doi.org/10.17504/protocols.io.q7edzje 2021-04-15 09:15:46
Intestine cell dissociation
 
Resource Report
Resource Website
Andrew Potter DOI:10.17504/protocols.io.nzjdf4n Human Cell Atlas Method Development Community Protocol for human intestine cell dissociation.  Cincinnati Children's Hospital Medical Center 3 2018 Andrew Potter 2018. Intestine cell dissociation. protocols.io https://dx.doi.org/10.17504/protocols.io.nzjdf4n 2021-04-15 09:15:47
ClampFISH
 
Resource Report
Resource Website
Sara H Rouhanifard, Ian A Mellis, Margaret Dunagin, Sareh Bayatpour, Orsolya Symmons, Allison Cote, Arjun Raj DOI:10.17504/protocols.io.qeydtfw Human Cell Atlas Method Development Community Non-enzymatic, high-gain signal amplification methods with single-cell, single-molecule resolution are in great need. We present click-amplifying FISH (clampFISH) for the fluorescent detection of RNA that combines the specificity of oligonucleotides with bioorthogonal click chemistry in order to achieve high specificity and extremely high-gain (>400x) signal amplification. We show that clampFISH signal enables detection with low magnification microscopy and separation of cells by RNA levels via flow cytometry. Additionally, we show that the modular design of clampFISH probes enables multiplexing, that the locking mechanism prevents probe detachment in expansion microscopy, and that clampFISH works in tissue samples. University of Pennsylvania, University of Pennsylvania, University of Pennsylvania, University of Pennsylvania, University of Pennsylvania, University of Pennsylvania, University of Pennsylvania https://www.biorxiv.org/content/early/2018/05/07/222794 1 2018 Sara H Rouhanifard, Ian A Mellis, Margaret Dunagin, Sareh Bayatpour, Orsolya Symmons, Allison Cote, Arjun Raj 2018. ClampFISH . protocols.io https://dx.doi.org/10.17504/protocols.io.qeydtfw 2021-04-15 09:15:53
CUT&RUN: Targeted in situ genome-wide profiling with high efficiency for low cell numbers
 
Resource Report
Resource Website
Peter J. Skene, Steven Henikoff DOI:10.17504/protocols.io.mgjc3un Human Cell Atlas Method Development Community Cleavage Under Targets and Release Using Nuclease (CUT&RUN) is an epigenomic profiling strategy in which antibody-targeted controlled cleavage by micrococcal nuclease releases specific protein-DNA complexes into the supernatant for paired-end DNA sequencing. As only the targeted fragments enter into solution, and the vast majority of DNA is left behind, CUT&RUN has exceptionally low background levels. CUT&RUN outperforms the most widely used Chromatin Immunoprecipitation (ChIP) protocols in resolution, signal-to-noise, and depth of sequencing required. In contrast to ChIP, CUT&RUN is free of solubility and DNA accessibility artifacts and can be used to profile insoluble chromatin and to detect long-range 3D contacts without cross-linking. Here we present an improved CUT&RUN protocol that does not require isolation of nuclei and provides high-quality data starting with only 100 cells for a histone modification and 1000 cells for a transcription factor. From cells to purified DNA CUT&RUN requires less than a day at the lab bench.In summary, CUT&RUN has several advantages over ChIP-seq: (1) The method is performed in situ in non-crosslinked cells and does not require chromatin fragmentation or solubilization; (2) The intrinsically low background allows low sequence depth and identification of low signal genomic features invisible to ChIP; (3) The simple procedure can be completed within a day and is suitable for robotic automation; (4) The method can be used with low cell numbers compared to existing methodologies; (5) A simple spike-in strategy can be used for accurate quantitation of protein-DNA interactions. As such, CUT&RUN represents an attractive replacement for ChIPseq, which is one of the most popular methods in biological research. Howard Hughes Medical Institute, Basic Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, Washington, USA 98109, Howard Hughes Medical Institute, Basic Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, Washington, USA 98109 https://www.biorxiv.org/content/early/2017/09/24/193219 1 2018 Peter J. Skene, Steven Henikoff 2018. CUT&RUN: Targeted in situ genome-wide profiling with high efficiency for low cell numbers. protocols.io https://dx.doi.org/10.17504/protocols.io.mgjc3un 2021-04-15 09:15:59
Single-nucleus isolation from frozen human lung tissue for single-nucleus RNA-seq
 
Resource Report
Resource Website
Nikita Joshi, Alexander Misharin DOI:10.17504/protocols.io.zu8f6zw Human Cell Atlas Method Development Community We aimed to develop a protocol for isolation of the single nuclei from the archival frozen human lung tissue suitable for single cell RNA-seq using standard 10x Genomics chemistry. The protocol utilizes standard nuclei isolation buffer (Nuclei EZ buffer) supplemented with RNase inhibitor and a protease inhibitor. For the homogenization step, we elected to use C Tube and GentleMACS tissue dissociation as a way to standardize the homogenization procedure. To maintain nuclei integrity we skipped washing steps and instead use large volumes of washing buffer and proceed to FACSorting immediately after lysis for nuclei purification.This protocol produces a good yield of nuclei and diverse libraries, with multiple cell types being detected. While the number of detected genes and UMI per nuclei is lower than for single cell RNAseq, it is sufficient for identification of the specific cell types, including rare populations. Moreover, snRNAseq allowed resolution of the cell types that are intimately integrated into the lung matrix and otherwise hard to resolve: fibroblasts and type 1 alveolar epithelial cells.We thank Oni Basu (UChicago), Luciano Martelotto (Monash University), Nicole Abreu (10x Genomics) and Sharmila Chatterjee (10x Genomics) for their advice. Northwestern University, Northwestern University 1 2019 Nikita Joshi, Alexander Misharin 2019. Single-nucleus isolation from frozen human lung tissue for single-nucleus RNA-seq. protocols.io https://dx.doi.org/10.17504/protocols.io.zu8f6zw 2021-04-15 09:16:00
Preparation of single cell suspensions from human intestinal biopsies for single cell genomics applications
 
Resource Report
Resource Website
Ran Zhou, Oni Basu DOI:10.17504/protocols.io.bkp6kvre Human Cell Atlas Method Development Community, Helmsley project_Basu lab The protocol is adapted from Fujii's and Smillies's reports for single cell transcriptome analysis from human intestines. It provides details on acquirement of single cell suspension from epithelium and lamina propria. This methods is modified to generate appropriate meterials from patient's intestinal biopsies for sinlge-cell transcriptome and genomic applications. University of Chicago, University of Chicago 2 2020 Ran Zhou, Oni Basu 2020. Preparation of single cell suspensions from human intestinal biopsies for single cell genomics applications. protocols.io https://dx.doi.org/10.17504/protocols.io.bkp6kvre 2021-04-15 09:16:00
CGAP Human Oesophagus Epithelium Dissociation
 
Resource Report
Resource Website
Adam Hunter DOI:10.17504/protocols.io.qz8dx9w Human Cell Atlas Method Development Community CGAP 1 2018 Adam Hunter 2018. CGAP Human Oesophagus Epithelium Dissociation. protocols.io https://dx.doi.org/10.17504/protocols.io.qz8dx9w 2021-04-15 09:15:57
Human Pancreas PACT Optical Clearing and High Resolution 3D Microscopy
 
Resource Report
Resource Website
Elizabeth Butterworth, Wesley Dickerson, Vindhya Vijay, Kristina Weitzel, Julia Cooper, Eric W. Atkinson, Jason E. Coleman, Kevin Otto, Martha Campbell Thompson DOI:10.17504/protocols.io.9gbh3sn Human Cell Atlas Method Development Community, Optical Clearing of Tissue, SPARC Using traditional histological methods, researchers are hampered in their ability to image whole tissues or organs in large-scale 3D. Histological sections are generally limited to 500 μm using traditional methods. In addition, light scatters from macromolecules within tissues, particularly lipids, prevents imaging to a depth >150 μm with most confocal microscopes. To reduce light scatter and to allow for deep tissue imaging using simple confocal microscopy, various optical clearing methods have been developed that are relevant for rodent and human tissue samples fixed by immersion. Several methods are related and use protein crosslinking with acrylamide and tissue clearing with sodium dodecyl sulfate (SDS). Other optical clearing techniques used various solvents though each modification had various advantages and disadvantages. Here, an optimized passive optical clearing method is described for studies of the human pancreas innervation and specifically for interrogation of the innervation of human islets. University of Florida, University of Florida, University of Florida, University of Florida, University of Florida, University of Florida, University of Florida, University of Florida, University of Florida http://doi:10.3791/56859 1 2020 Elizabeth Butterworth, Wesley Dickerson, Vindhya Vijay, Kristina Weitzel, Julia Cooper, Eric W. Atkinson, Jason E. Coleman, Kevin Otto, Martha Campbell Thompson 2020. Human Pancreas PACT Optical Clearing and High Resolution 3D Microscopy. protocols.io https://dx.doi.org/10.17504/protocols.io.9gbh3sn 2021-04-15 09:15:58

Can't find your Protocol?

We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. If you want to find a specific protocol and you know the DOI of the protocol already, it's easier to enter a DOI to search. You can refine the search results using Facets on the left side of the search results page. If you are on the table view, you can also search in a specific column by clicking the column title and enter the keywords.

If you still could not find your protocol in the search results, please help us by adding it into the system — it's easy. Create and publish your protocols at Protocols.io.

Can't find the RRID you're searching for? X
X
  1. NIDDK Information Network Resources

    Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.

  2. Navigation

    You are currently on the Community Resources tab looking through categories and sources that dkNET has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.

  3. Logging in and Registering

    If you have an account on dkNET then you can log in from here to get additional features in dkNET such as Collections, Saved Searches, and managing Resources.

  4. Searching

    Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:

    1. Use quotes around phrases you want to match exactly
    2. You can manually AND and OR terms to change how we search between words
    3. You can add "-" to terms to make sure no results return with that term in them (ex. Cerebellum -CA1)
    4. You can add "+" to terms to require they be in the data
    5. Using autocomplete specifies which branch of our semantics you with to search and can help refine your search
  5. Collections

    If you are logged into dkNET you can add data records to your collections to create custom spreadsheets across multiple sources of data.

  6. Facets

    Here are the facets that you can filter the data by.

  7. Further Questions

    If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.