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Name Authors DOI Group Summary Associated Publications RRIDs used Affiliations External URL Version Publication Date Proper Citation Record Last Update
True-Nuclear™ Transcription Factor Staining Protocol for 5 mL Tubes
 
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BioLegend, Inc. DOI:10.17504/protocols.io.exrbfm6 BioLegend , http://www.biolegend.com/media_assets/support_protocol/True-Nuclear_Trademark_Transcription_Factor_Staining_Protocol.pdf 1 2016 BioLegend, Inc. 2016. True-Nuclear™ Transcription Factor Staining Protocol for 5 mL Tubes. protocols.io https://dx.doi.org/10.17504/protocols.io.exrbfm6 2021-04-15 09:15:15
MojoSort™ Selection Kits Column Protocol - 5
 
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Sam Li DOI:10.17504/protocols.io.7u3hnyn BioLegend BioLegend MojoSort™ nanobeads work in commonly used separation columns, based on our internal research as well as validation by external testing by academic labs. This simple protocol consists of following the MojoSort™ protocol to label the cells with pre-diluted MojoSort™ reagents and using the columns as indicated by the manufacturer.Note: Due to the properties of our beads, it may be possible to use far fewer beads that with other commercial suppliers. We recommend a titration to find the best dilution factor. However, as a general rule, dilutions ranging from 1:3 to 1:20 for the Nanobeads can be used. Please contact BioLegend Technical Service ([email protected]) if further assistance is needed. BioLegend https://www.biolegend.com/protocols/mojosort-selection-kits-column-protocol-5/4769/ 1 2019 Sam Li 2019. MojoSort™ Selection Kits Column Protocol - 5. protocols.io https://dx.doi.org/10.17504/protocols.io.7u3hnyn 2021-04-15 09:15:17
SPARC_Duke_Grill_OT2-OD025340_HumanVagusNerve_Claudin1IHC_Morphology
 
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Nicole A. Pelot, J. Ashley Ezzell, Gabriel B. Goldhagen, Jake E. Cariello, Kara A. Clissold, Warren M. Grill DOI:10.17504/protocols.io.6fzhbp6 SPARC The protocol describes immunohistochemistry with anti-claudin-1, imaging, image segmentation, and image analysis methods to quantify human vagus nerve morphology. Duke University, Duke University, Duke University, Duke University, Duke University, Duke University 1 2020 Nicole A. Pelot, J. Ashley Ezzell, Gabriel B. Goldhagen, Jake E. Cariello, Kara A. Clissold, Warren M. Grill 2020. SPARC_Duke_Grill_OT2-OD025340_HumanVagusNerve_Claudin1IHC_Morphology. protocols.io https://dx.doi.org/10.17504/protocols.io.6fzhbp6 2021-04-15 09:15:15
1 Preparation of Mica Substrate
 
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Philip J. Haynes, Kavit H. S. Main, Alice Pyne DOI:10.17504/protocols.io.bnb2maqe This is part 1 of the "Atomic Force Microscopy of DNA and DNA-Protein Interactions" collection of protocols.Collection Abstract: Atomic force microscopy (AFM) is a microscopy technique that uses a sharp probe to trace a sample surface at nanometre resolution. For biological applications, one of its key advantages is its ability to visualize substructure of single molecules and molecular complexes in an aqueous environment. Here, we describe the application of AFM to determine the secondary and tertiary structure of surface-bound DNA, and it’s interactions with proteins. London Centre for Nanotechnology, University College London, London WC1H 0AH, UK; Molecular Science Research Hub, Department of Chemistry, Imperial College London, W12 0BZ, UK; Department of Physics and Astronomy, University College London, London, WC1E 6BT, UK, London Centre for Nanotechnology, University College London, London WC1H 0AH, UK; UCL Cancer Institute, University College London, London, WC1E 6DD, UK, Department of Materials Science, Sir Robert Hadfield Building, University of Sheffield, S1 3JD 1 2020 Philip J. Haynes, Kavit H. S. Main, Alice Pyne 2020. 1 Preparation of Mica Substrate. protocols.io https://dx.doi.org/10.17504/protocols.io.bnb2maqe 2021-04-15 09:15:41
Virus
 
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Norfitriah Mohamed Sohaimi, Mohd Hair Bejo, Abdul Rahman Omar, Aini Ideris, Nurulfiza Mat Isa DOI:10.17504/protocols.io.7zjhp4n Sohaimi NM, Bejo MH, Omar AR, Ideris A, Isa NM (2019) Molecular characterization of fowl adenovirus isolate of Malaysia attenuated in chicken embryo liver cells and its pathogenicity and immunogenicity in chickens. PLoS ONE 14(12): e0225863. doi: 10.1371/journal.pone.0225863 Faculty of Veterinary Medicine, Universiti Putra Malaysia, Serdang, Selangor, Malaysia., Faculty of Veterinary Medicine, Universiti Putra Malaysia, Serdang, Selangor, Malaysia., Faculty of Veterinary Medicine, Universiti Putra Malaysia, Serdang, Selangor, Malaysia., Faculty of Veterinary Medicine, Universiti Putra Malaysia, Serdang, Selangor, Malaysia., Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia. https://doi.org/10.1371/journal.pone.0225863 1 2019 Norfitriah Mohamed Sohaimi, Mohd Hair Bejo, Abdul Rahman Omar, Aini Ideris, Nurulfiza Mat Isa 2019. Virus. protocols.io https://dx.doi.org/10.17504/protocols.io.7zjhp4n 2021-04-15 09:15:44
Flex-T™ Tetramer and Cell Staining Protocol
 
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Kelsey Miller DOI:10.17504/protocols.io.e7bbhin BioLegend Using UV-induced peptide exchange, MHC/peptide monomers can be generated with conditional Flex-T™ monomers that harbor peptides of interest in their binding grooves. These new MHC monomers are subsequently multimerized using streptavidin-fluorophore conjugates. The resulting Flex-T™ reagents can be used for staining antigen-specific T cells and flow cytometric analysis. In humans, the MHC molecules are called HLA (Human Leukocyte Antigen). BioLegend http://www.biolegend.com/media_assets/support_protocol/Protocol%20for%20fluorescent%20tetramer%20generation%20and%20cell%20staining%2006202016.pdf 1 2016 Kelsey Miller 2016. Flex-T™ Tetramer and Cell Staining Protocol. protocols.io https://dx.doi.org/10.17504/protocols.io.e7bbhin 2021-04-15 09:15:41
Introduction to protein annotation with Hidden Markov Models
 
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Frank Aylward DOI:10.17504/protocols.io.pijdkcn Here is a general tutoral on how to begin annotating proteins with Hidden Markov Models. A small test set of HMMs is provided in the Git repo downloaded in the first step.  Virginia Tech 1 2018 Frank Aylward 2018. Introduction to protein annotation with Hidden Markov Models. protocols.io https://dx.doi.org/10.17504/protocols.io.pijdkcn 2021-04-15 09:15:16
Zebrafish (Danio rerio) Environmental Summary, Aquatic Resources Program, Boston Children's Hospital 2019
 
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Christian Lawrence, Jason Best, Althea James, Shane Hurley, Mitchel Shia, Michelle Urh, Brady Hirshfeld, Nina Bakker, Hugo Perdomo DOI:10.17504/protocols.io.bbjhikj6 Environmental and housing conditions experienced by laboratory animals exert profound effects on their biology, physiology, and behavior.  These parameters are important and often overlooked sources of potential variation in experiments, and should be reported in peer-reviewed publications in order to promote scientific reproducibility.  To that end, here we provide a summary of the environmental conditions in zebrafish (Danio rerio) aquaculture facilities at Boston Children's Hospital (BCH).   We include data on the physico-chemical, health, and nutrition of zebrafish in three separate facilities at BCH: Karp, Enders SSB, and Enders Lobby. In this year's version, we also include new information on our sanitization protocol validation, and dietary inputs. We also provide some additional characterization of our sampling methods for water parameters and health in an updated legend. This information will be applicable to any study involving zebrafish conducted in one of these three facilities during the year of 2019. Boston Children's Hospital, Boston Children's Hospital, Boston Children's Hospital, Boston Children's Hospital, Boston Children's Hospital, Boston Children's Hospital, Boston Children's Hospital, Boston Children's Hospital, Boston Children's Hospital https://doi.org/10.1371/journal.pone.0199712 4 2020 Christian Lawrence, Jason Best, Althea James, Shane Hurley, Mitchel Shia, Michelle Urh, Brady Hirshfeld, Nina Bakker, Hugo Perdomo 2020. Zebrafish (Danio rerio) Environmental Summary, Aquatic Resources Program, Boston Children's Hospital 2019. protocols.io https://dx.doi.org/10.17504/protocols.io.bbjhikj6 2021-04-15 09:15:44
FAA MEDIA (FASTIDIOUS ANAEROBES AGAR)
 
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Roey Angel, Ana Lara-Rodriguez, Eva Petrova SoWa RI Anaerobic and Molecular Microbiology (public) Soil and Water Research Infrastructure, Soil and Water Research Infrastructure, Soil and Water Research Infrastructure https://foodsafety.neogen.com/pdf/acumedia_pi/7531_pi.pdf 1 2020 Roey Angel, Ana Lara-Rodriguez, Eva Petrova 2020. FAA MEDIA (FASTIDIOUS ANAEROBES AGAR). protocols.io https:// 2021-04-15 09:15:15
M9 Minimal Media
 
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Dr. Steven Wilhelm DOI:10.17504/protocols.io.ibqcamw The Aquatic Microbial Ecology Research Group - AMERG (The Buchan, Zinser and Wilhelm labs) Please contact Dr. Steven Wilhelm ([email protected]) for additional information regarding this protocolModified from Pardee, A. B., F. Jacob, and J. Monod. 1959. The genetic control and cytoplasmic expression of "inducibility" in the synthesis of ß-galactosidase in E. coli. J. Mol. Biol. 1:165-178 1 2017 Dr. Steven Wilhelm 2017. M9 Minimal Media. protocols.io https://dx.doi.org/10.17504/protocols.io.ibqcamw 2021-04-15 09:15:42
Conidial production from M. fijiensis mycelium
 
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Leticia Peraza Echeverría, Cecilia Rodríguez, Dalia Zapata DOI:10.17504/protocols.io.sgmebu6 Continuous in vitro conidial production from Mycosphaerella fijiensis mycelium. A method for in vitro production of conidia is described. M fijiensis was grown on culture medium containing V8 juice. Mycelium was macerated until a fine suspension was produced; 2 mL was carefully spread on V8 sporulation medium. The Petri dishes were incubated for 6 days at 20 °C, under continuous cool-white fluorescent and black light. After the incubation period, 2.4 mL of 1% gelatin was added to each Petri dish, the conidia carefully dislodged with a camel hair brush. Conidial production was notably stimulated by brush harvesting mycelial cultures. After 6 days of culture the first harvest was made and the same batch of petri dishes were put in the same culture conditions to stimulate new conidial production. Significant cumulative conidial production was observed after the second harvest. Rodríguez-García CM, Ruiz-Ruiz JC, Peraza-Echeverría L, Peraza-Sánchez SR, Torres-Tapia LW, Pérez-Brito D, Tapia-Tussell R, Herrera-Chalé FG, Segura-Campos MR, Quijano-Ramayo A, Ramón-Sierra JM, Ortiz-Vázquez E (2019) Antioxidant, antihypertensive, anti-hyperglycemic, and antimicrobial activity of aqueous extracts from twelve native plants of the Yucatan coast. PLoS ONE 14(3): e0213493. doi: 10.1371/journal.pone.0213493 Centro de Investigación Científica de Yucatán, Centro de Investigación Científica de Yucatán, Centro de Investigación Científica de Yucatán https://link.springer.com/article/10.1071/AP08042 1 2018 Leticia Peraza Echeverría, Cecilia Rodríguez, Dalia Zapata 2018. Conidial production from M. fijiensis mycelium. protocols.io https://dx.doi.org/10.17504/protocols.io.sgmebu6 2021-04-15 09:15:15
Poly-Lysine Coverslip Preparation
 
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Franchesca Farris, Marda Jorgensen DOI:10.17504/protocols.io.8kthuwn Human BioMolecular Atlas Program (HuBMAP) Method Development Community Poly-Lysine Coverslip Preparation This section describes the process of creating Poly-lysine-coated coverslips that are used for the tissue slices in the CODEX® experiment workflow. University of Florida, University of Florida 1 2019 Franchesca Farris, Marda Jorgensen 2019. Poly-Lysine Coverslip Preparation. protocols.io https://dx.doi.org/10.17504/protocols.io.8kthuwn 2021-04-15 09:15:43
Smart-seq2 single-cell RNA-Seq modified method
 
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John J. Trombetta, David Gennert, Diana Lu, Rahul Satija, Alex K. Shalek, Aviv Regev DOI:10.17504/protocols.io.pbgdijw 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.In single-cell RNA-Seq, small amounts of sample loss during a number of steps can lead to significant decreases in transcript detection sensitivity. A decrease in assay sensitivity results in data that is only accurate and reproducible for highly expressed genes, limiting the scope and confidence of gene expression analyses. Further complications in assay sensitivity arise from an uneven distribution of sequencing reads along a transcript; usually, in SMARTer, there is a bias towards more reads at the 3′ end of the transcript. Even coverage along a transcript improves the accuracy of analytical tools used to quantify gene expression and transcript isoform abundance. A method published by Picelli et al (Nature Methods, 2013) modified the traditional SMARTer protocol to address this by improving transcript detection, coverage, accuracy, yield, and cost. Following the same strategy as SMARTer library construction, Smart-seq2 uses several alternative reagents to generate whole-transcriptome full-length cDNA libraries. .justify:after { content: ""; display:inline-block; width: 100%; } .justify:after { content: ""; display:inline-block; width: 100%; } Avoiding small-volume, bead-based SPRI cleanups of each sample is an effective way of reducing loss and increasing assay sensitivity. Lysing single cells in a guanidine thiocyanate buffer necessitates SPRI cleanup due to the protein denaturing effects of the compound, which will affect downstream reactions, like reverse transcription. Multiple alternative lysis buffers exist that address this. The Ambion Single Cell Lysis buffer (Life technologies, #4458235), often used for single-cell RT-PCR, only requires the addition of a stop solution to inactivate its lytic activity before subsequent reactions. A hypotonic lysis buffer with small amounts of RNase-inhibitor and surfactant, as described in Smart-seq2, is the preferred buffer due to the lack of a need for a post-lysis cleanup or the addition of a stop solution prior to reverse transcription. However, the optimal lysis strategy will depend on the experimental system being analyzed. .justify:after { content: ""; display:inline-block; width: 100%; } .justify:after { content: ""; display:inline-block; width: 100%; } Smart-seq2 takes additional steps to minimize sample loss during library construction. The reverse transcription is improved by the addition of betaine and additional magnesium chloride to the reaction mix and by the use of a template-switch oligonucleotide with one locked nucleic acid (LNA) riboguanosine base. These improvements assist in the hybridization between the template-switch oligonucleotide and the cDNA product, thereby increasing the probability of successfully introducing a second PCR adapter onto the cDNA product (see Figure 1). A second key improvement was made in the preamplification PCR step, which can be heavily biased against either long transcripts or those containing regions with high G/C content. Picelli et al found that the preamplification PCR is improved by using the KAPA HiFi HotStart ReadyMix, which dramatically improved coverage and sensitivity, particularly for GC-rich transcripts. .justify:after { content: ""; display:inline-block; width: 100%; } 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. Smart-seq2 single-cell RNA-Seq modified method. protocols.io https://dx.doi.org/10.17504/protocols.io.pbgdijw 2021-04-15 09:15:41
High-molecular weight DNA extraction from challenging fungi using CTAB and gel purification
 
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Ashley Jones, Ramawatar Nagar, Anna Sharp, Benjamin Schwessinger DOI:10.17504/protocols.io.5isg4ee High molecular weight DNA extraction from all kingdoms Extracting pure high-molecular weight DNA from some fungal species is difficult due to the presence of polysaccharides and potentially other compounds which biochemically mimic DNA or interfere with the DNA extraction process. Such compounds can co-elute with DNA in many extraction methods, being difficult to separate fom the DNA. Although the contaminant may not be detected by spectrophotometers or fluorometric devices, it substantially interferes with long-read DNA sequencing, such as Oxford Nanopore Technologies. To partially resolve this, a protocol is presented with some updates to current strategies and incorporates a gel purification with a Pippin Prep (Sage Science). Using this protocol, we have been successfully sequencing the wheat stripe rust Puccinia striiformis and leaf rust Puccinia triticina with a MinION (Oxford Nanopore Technologies). Sequencing yields have surpassed 4 gigabases with an N50 of approximately 30 kb. To increase sequencing output, more work is needed to identify and remove the elusive contaminants. Australian National University, Australian National University, Australian National University, Australian National University 2 2019 Ashley Jones, Ramawatar Nagar, Anna Sharp, Benjamin Schwessinger 2019. High-molecular weight DNA extraction from challenging fungi using CTAB and gel purification. protocols.io https://dx.doi.org/10.17504/protocols.io.5isg4ee 2021-04-15 09:15:43
True-Nuclear™ Transcription Factor Staining Protocol for 5 mL Tubes
 
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Sam Li DOI:10.17504/protocols.io.bacsiawe BioLegend BioLegend https://www.biolegend.com/protocols/true-nuclear-transcription-factor-staining-protocol-for-5ml-tubes/4267/ 4 2019 Sam Li 2019. True-Nuclear™ Transcription Factor Staining Protocol for 5 mL Tubes. protocols.io https://dx.doi.org/10.17504/protocols.io.bacsiawe 2021-04-15 09:15:15
FIN-Seq (Frozen Immunolabeled Nuclei Sequencing)
 
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Ryoji Amamoto, Emanuela Zuccaro, Paola Arlotta, Constance L. Cepko DOI:10.17504/protocols.io.zxbf7in Thousands of frozen, archived tissues from postmortem human central nervous system (CNS) are currently available in brain banks. As single cell and single nucleus technologies are beginning to elucidate the cellular diversity present within the human CNS, it is becoming clear that transcriptional analysis of the human CNS requires cell type specificity. Single cell and single nucleus RNA profiling provide one avenue to decipher this heterogeneity. An alternative, complementary approach is to profile isolated, pre-defined cell types and use methods that can be applied to many archived human tissue samples. Here, we developed FIN-Seq (Frozen Immunolabeled Nuclei Sequencing), a method that accomplishes these goals. FIN-Seq uses immunohistochemical isolation of nuclei of specific cell types from frozen human tissue, followed by RNA-Sequencing. We applied this method to frozen postmortem samples of human cerebral cortex and retina and were able to identify transcripts, including low abundance transcripts, in specific cell types. Harvard Medical School, University of Padova, Harvard University, Harvard Medical School https://www.biorxiv.org/content/10.1101/602847v1 1 2019 Ryoji Amamoto, Emanuela Zuccaro, Paola Arlotta, Constance L. Cepko 2019. FIN-Seq (Frozen Immunolabeled Nuclei Sequencing). protocols.io https://dx.doi.org/10.17504/protocols.io.zxbf7in 2021-04-15 09:15:15
The pipeline of Hi-C assembly
 
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Xin Liu DOI:10.17504/protocols.io.qradv2e GigaScience Press, BGI, GIGA From here, You can know detail methods of Hi-C assembly of the Betta splendens genome. BGI-Shenzhen 1 2018 Xin Liu 2018. The pipeline of Hi-C assembly. protocols.io https://dx.doi.org/10.17504/protocols.io.qradv2e 2021-04-15 09:15:43
Login to UA HPC
 
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Ken Youens-Clark, Bonnie Hurwitz DOI:10.17504/protocols.io.wvwfe7e Biosys-analytics This describes setting up ssh keys and configuration to avoid having to use your NetID+ 2-factor authentication every time you log into the HPC.  Windows users will need to install a free Unix-like environment that provides a terminal so as to avoid using an ssh client like Putty (for example: Cygwin (http://www.cygwin.com)).  Cygwin users must be sure to install the 'ssh' tools which are not installed by default. University of Arizona, University of Arizona 2 2019 Ken Youens-Clark, Bonnie Hurwitz 2019. Login to UA HPC. protocols.io https://dx.doi.org/10.17504/protocols.io.wvwfe7e 2021-04-15 09:15:43
RNA Isolation from Plant Tissue Protocol 6: pBIOZOL and Qiagen RNeasy Plant Mini Kit Method
 
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Marc T. J. Johnson, Eric J. Carpenter, Zhijian Tian, Richard Bruskiewich, Jason N. Burris, Charlotte T. Carrigan, Mark W. Chase, Neil D. Clarke, Sarah Covshoff, Claude W. dePamphilis, Patrick P. Edger, Falicia Goh, Sean Graham, Stephan Greiner, Julian M. Hibberd, Ingrid Jordon-Thaden, Toni M. Kutchan, James Leebens-Mack, Michael Melkonian, Nicholas Miles, Henrietta Myburg, Jordan Patterson, J. Chris Pires, Paula Ralph, Megan Rolf, Rowan F. Sage, Douglas Soltis, Pamela Soltis, Dennis Stevenson, C. Neal Stewart Jr, Barbara Surek, Christina J. M. Thomsen, Juan Carlos Villarreal, Xiaolei Wu, Yong Zhang, Michael K. Deyholos, Gane Ka-Shu Wong DOI:10.17504/protocols.io.4rfgv3n This protocol is part of a collection of eighteen protocols used to isolate total RNA from plant tissue. (RNA Isolation from Plant Tissue Collection: https://www.protocols.io/view/rna-isolation-from-plant-tissue-439gyr6) and was originally published as part of Appendix S1 of "Evaluating Methods for Isolating Total RNA and Predicting the Success of Sequencing Phylogenetically Diverse Plant Transcriptomes" Marc T. J. Johnson et al. PLOS ONE, November 21, 2012. https://doi.org/10.1371/journal.pone.0050226 Department of Biology‚ University of Toronto at Mississauga‚ Mississauga‚ Ontario‚ Canada, Department of Biological Sciences‚ University of Alberta‚ Edmonton‚ Alberta‚ Canada, BGI-Shenzhen‚ Bei Shan Industrial Zone‚ Yantian District‚ Shenzhen‚ China, International Rice Research Institute‚ Metro Manila‚ Philippines, Department of Plant Sciences‚ University of Tennessee‚ Knoxville‚ Tennessee‚ United States of America, Department of Plant Biology‚ University of Georgia‚ Athens‚ Georgia‚ United States of America, Jodrell Laboratory‚ Royal Botanic Gardens‚ Kew‚ Richmond‚ Surrey‚ United Kingdom, Genome Institute of Singapore‚ Singapore‚ Singapore, Department of Plant Sciences‚ University of Cambridge‚ Cambridge‚ United Kingdom, Department of Biology and Intercollege Graduate Program in Plant Biology‚ Huck Institutes of the Life Sciences‚ Pennsylvania State University‚ University Park‚ Pennsylvania‚ United States of America, Division of Biological Sciences‚ University of Missouri‚ Columbia‚ Missouri‚ United States of America, Genome Institute of Singapore‚ Singapore‚ Singapore, Department of Botany and UBC Botanical Garden‚ University of British Columbia‚ Vancouver‚ British Columbia‚ Canada, Max Planck Institute for Molecular Plant Physiology‚ Wissenschaftspark Golm‚ Am Mühlenberg 1‚ Potsdam-Golm‚ Germany, Department of Plant Sciences‚ University of Cambridge‚ Cambridge‚ United Kingdom, Department of Biology‚ University of Florida‚ Gainesville‚ Florida‚ United States of America; Florida Museum of Natural History‚ University of Florida‚ Gainesville‚ Florida‚ United States of America, Donald Danforth Plant Science Center‚ St. Louis‚ Missouri‚ United States of America, Department of Plant Biology‚ University of Georgia‚ Athens‚ Georgia‚ United States of America, Department of Botany‚ Cologne Biocenter‚ University of Cologne‚ Cologne‚ Germany, Department of Biology‚ University of Florida‚ Gainesville‚ Florida‚ United States of America; Florida Museum of Natural History‚ University of Florida‚ Gainesville‚ Florida‚ United States of America, Department of Plant Biology‚ North Carolina State University‚ Raleigh‚ North Carolina‚ United States of America, Department of Biological Sciences‚ University of Alberta‚ Edmonton‚ Alberta‚ Canada, Division of Biological Sciences‚ University of Missouri‚ Columbia‚ Missouri‚ United States of America, Department of Biology and Intercollege Graduate Program in Plant Biology‚ Huck Institutes of the Life Sciences‚ Pennsylvania State University‚ University Park‚ Pennsylvania‚ United States of America, Donald Danforth Plant Science Center‚ St. Louis‚ Missouri‚ United States of America, Department of Ecology and Evolutionary Biology‚ University of Toronto‚ Toronto‚ Ontario‚ Canada, Department of Biology‚ University of Florida‚ Gainesville‚ Florida‚ United States of America, Florida Museum of Natural History‚ University of Florida‚ Gainesville‚ Florida‚ United States of America, New York Botanical Garden‚ Bronx‚ New York‚ United States of America, Department of Plant Sciences‚ University of Tennessee‚ Knoxville‚ Tennessee‚ United States of America, Department of Botany‚ Cologne Biocenter‚ University of Cologne‚ Cologne‚ Germany, Department of Biology‚ University of Toronto at Mississauga‚ Mississauga‚ Ontario‚ Canada, Department of Ecology and Evolutionary Biology‚ University of Connecticut‚ Storrs‚ Connecticut‚ United States of America, BGI-Shenzhen‚ Bei Shan Industrial Zone‚ Yantian District‚ Shenzhen‚ China, BGI-Shenzhen‚ Bei Shan Industrial Zone‚ Yantian District‚ Shenzhen‚ China, Department of Biological Sciences‚ University of Alberta‚ Edmonton‚ Alberta‚ Canada, Department of Biological Sciences‚ University of Alberta‚ Edmonton‚ Alberta‚ Canada; BGI-Shenzhen‚ Bei Shan Industrial Zone‚ Yantian District‚ Shenzhen‚ China; Department of Medicine‚ University of Alberta‚ Edmonton‚ Alberta‚ Canada 1 2019 Marc T. J. Johnson, Eric J. Carpenter, Zhijian Tian, Richard Bruskiewich, Jason N. Burris, Charlotte T. Carrigan, Mark W. Chase, Neil D. Clarke, Sarah Covshoff, Claude W. dePamphilis, Patrick P. Edger, Falicia Goh, Sean Graham, Stephan Greiner, Julian M. Hibberd, Ingrid Jordon-Thaden, Toni M. Kutchan, James Leebens-Mack, Michael Melkonian, Nicholas Miles, Henrietta Myburg, Jordan Patterson, J. Chris Pires, Paula Ralph, Megan Rolf, Rowan F. Sage, Douglas Soltis, Pamela Soltis, Dennis Stevenson, C. Neal Stewart Jr, Barbara Surek, Christina J. M. Thomsen, Juan Carlos Villarreal, Xiaolei Wu, Yong Zhang, Michael K. Deyholos, Gane Ka-Shu Wong 2019. RNA Isolation from Plant Tissue Protocol 6: pBIOZOL and Qiagen RNeasy Plant Mini Kit Method. protocols.io https://dx.doi.org/10.17504/protocols.io.4rfgv3n 2021-04-15 09:15:43
Home-made TOP10 competent heat-shock cells
 
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Magdalena Julkowska DOI:10.17504/protocols.io.pexdjfn Salt Lab KAUST The standard protocol to propagate TOP10 Competent cells for Heatshock transformation method King Abdullah University of Science and Technology 1 2019 Magdalena Julkowska 2019. Home-made TOP10 competent heat-shock cells. protocols.io https://dx.doi.org/10.17504/protocols.io.pexdjfn 2021-04-15 09:15:16

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    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.