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Name Authors DOI Group Summary Associated Publications RRIDs used Affiliations External URL Version Publication Date Proper Citation Record Last Update
Obtaining of NK cell clones using IL-2 and gene-modified K562 cells expressing membrane-bound IL-21
 
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Maria Streltsova, Sofya Erokhina, Leonid Kanevskiy, Dean Lee, William Telford, Elena Kovalenko 10.17504/protocols.io.v87e9zn Here we present the simple and effective method for obtaining clones of NK cells, sorted according to a given set of surface markers. The lifespan of clones grown by this method can reach 14 weeks and cloning efficiency is up to 50%, depending on the original NK cell subset. Obtained clones are functionally active; they are able to lyse target cells and produce IFNγ. The principle of method includes single cell sorting and further clonal expansion in the presence of IL-2 and gene-modified K562 feeder cells. Our method allows to expand the progeny of a single NK cell up to 10-20×106 NK cells suitable to study phenotype, proliferative and functional activity of a certain NK cell clone.The work was supported by Russian Science Foundation, grant #16-15-00309. Shemyakin & Ovchinnikov Institute of Bioorganic Chemistry RAS, Moscow, 117997, Russian Federation, Shemyakin & Ovchinnikov Institute of Bioorganic Chemistry RAS, Moscow, 117997, Russian Federation, Shemyakin & Ovchinnikov Institute of Bioorganic Chemistry RAS, Moscow, 117997, Russian Federation, Center for Childhood Cancer and Blood Disorders, The Research Institute, Nationwide Children’s Hospital, Columbus, OH, USA, National Cancer Institute, National Institute of Health, Bethesda, 20892, USA, Shemyakin & Ovchinnikov Institute of Bioorganic Chemistry RAS, Moscow, 117997, Russian Federation https://doi.org/10.1371/journal.pone.0208469 1 2018 Maria Streltsova, Sofya Erokhina, Leonid Kanevskiy, Dean Lee, William Telford, Elena Kovalenko 2018. Obtaining of NK cell clones using IL-2 and gene-modified K562 cells expressing membrane-bound IL-21. protocols.io dx.doi.org/10.17504/protocols.io.v87e9zn 2021-03-29 03:08:51
Stable tranfection of unicellular relative of animals, Corallochytrium limacisporum, using Lonza Nucleofector
 
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Aleksandra Kozyczkowska 10.17504/protocols.io.r5ud86w Protist Research to Optimize Tools in Genetics (PROT-G), Multicellgenomelab, Emerging Organisms for Biology Institut de Biologia Evolutiva (UPF-CSIC) Barcelona 1 2018 Aleksandra Kozyczkowska 2018. Stable tranfection of unicellular relative of animals, Corallochytrium limacisporum, using Lonza Nucleofector. protocols.io dx.doi.org/10.17504/protocols.io.r5ud86w 2021-03-29 03:08:51
Vitamin Solution for ESAW Media for Marine Phytoplankton
 
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Ashley Humphrey 10.17504/protocols.io.gdcbs2w Protist Research to Optimize Tools in Genetics (PROT-G), The Aquatic Microbial Ecology Research Group - AMERG (The Buchan, Zinser and Wilhelm labs) Stock vitamin solution for ESAW Media for Marine Phytoplankton University of Tennessee, Knoxville 1 2016 Ashley Humphrey 2016. Vitamin Solution for ESAW Media for Marine Phytoplankton. protocols.io dx.doi.org/10.17504/protocols.io.gdcbs2w 2021-03-29 03:08:51
Production of AAV Virus by Iodixanol Gradient Ultracentrifugation
 
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Allen Institute for Brain Science 10.17504/protocols.io.bdvxi67n BICCN, Allen Institute for Brain Science This protocol is used to produce AAV of any serotype with high purity and high titer.Note: Research reported in this publication was supported by the National Institute Of Mental Health of the National Institutes of Health under Award Number U19MH114830. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Allen Institute 3 2020 Allen Institute for Brain Science 2020. Production of AAV Virus by Iodixanol Gradient Ultracentrifugation. protocols.io dx.doi.org/10.17504/protocols.io.bdvxi67n 2021-03-29 03:08:50
Efficacy of proton pump inhibitor (PPI) therapy in treating sleep disturbances in patients with gastroesopahgeal reflux disease (GERD): a systematic review and meta-analysis
 
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Yeseong Kim, Fahmi Shibli, Takafumi Kubota 10.17504/protocols.io.bsrpnd5n The review question: What is the clinical effectiveness of proton pump inhibitor (PPI) therapy on sleepdisturbances in patients with gastroesophageal reflux disease (GERD)?The following databases should be use: CENTRAL; MEDLINE; EMBASE; WHO-ICTRP; ClinicalTrials.gov.Types of study to be included: Prospective, randomized controlled trials describing PPI therapy for patients with GERD and sleep disturbances will be assessed for eligibility. Crossover studies, clusterrandomized studies, will be excluded. Studies conducted by quasi-experimental methods will be excluded. Retrospective studies will be excluded. No exclusion will be made for observation periods.Main outcome(s): Change in sleep time and quality.Additional outcome(s): Change in pH impedance parameters (acid exposure, number of refluxes episodes); Change in reflux symptoms; All adverse events: Proportion of people who developed an adverse event according to the original author's definition.We will perform meta-analysis of the above outcomes using random effect models.Besides, we will assess heterogeniety and publication bias. Case Western Reserve University, Cleveland, Case Western Reserve University, Cleveland, University Hospitals Cleveland Medical Center 1 2021 Yeseong Kim, Fahmi Shibli, Takafumi Kubota 2021. Efficacy of proton pump inhibitor (PPI) therapy in treating sleep disturbances in patients with gastroesopahgeal reflux disease (GERD): a systematic review and meta-analysis. protocols.io dx.doi.org/10.17504/protocols.io.bsrpnd5n 2021-03-29 03:08:50
NEBExpress Ni Resin Gravity Flow Typical Protocol (NEB #S1428)
 
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New England Biolabs 10.17504/protocols.io.bfd7ji9n New England Biolabs (NEB) NEBExpress® Ni Resin is an affinity matrix for the isolation and purification of polyhistidine-tagged (His-tagged) fusion proteins. It is intended for use in gravity or pressure flow columns, and batch purifications. NEBExpress Ni Resin is comprised of a highly uniform and stable chemical-tolerant resin, pre-charged with nickel ions on the matrix surface. It is resistant to a wide range of chemicals, including NaOH, EDTA, DTT and β-Mercaptoethanol.Purification of ≥10 mg His-tagged protein per 1 ml of resinIntended for use in gravity or pressure flow columns, and batch purificationsHigh specific binding of His-tagged proteins yielding purities of >95%Strong nickel ion binding provides excellent resistance to EDTA and reducing agents. Compatible with commercially available detergent-based cell lysis reagentsIsolation and purification of His-tagged fusion proteins under native or denaturing conditions New England Biolabs https://www.neb.com/protocols/2019/09/10/nebexpress-ni-resin-gravity-flow-typical-protocol 1 2020 New England Biolabs 2020. NEBExpress Ni Resin Gravity Flow Typical Protocol (NEB #S1428). protocols.io dx.doi.org/10.17504/protocols.io.bfd7ji9n 2021-03-29 03:08:50
Production of Crude AAV Virus Extract
 
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Allen Institute for Brain Science 10.17504/protocols.io.8djhs4n BICCN, Allen Institute for Brain Science This protocol is used to produce crude preps of AAV of any serotype. Allen Institute 2 2019 Allen Institute for Brain Science 2019. Production of Crude AAV Virus Extract. protocols.io dx.doi.org/10.17504/protocols.io.8djhs4n 2021-03-29 03:08:50
K-mer-based host screening
 
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Bonnie Hurwitz, Ken Youens-Clark 10.17504/protocols.io.ehjbb4n VERVE Net, Hurwitz Lab K-mer-based approaches to determining sequence similiarity can be faster than traditional use of BLAST.  This application uses Jellyfish to index host FASTA files, then uses the mode value (default 2) of the number of matching k-mers (default k=20) from the input sequence to determine whether the sequence is similar enough to the host sequence to be rejected.  The output of the app is:"screened" directory containing the sequences from each file that were found to be dissimlar to the host"rejected" directory containing the sequence from each file that were too similar to the host"jf" directory containing Jellyfish indexes of each "host" file (useful for later runs with other files to skip recreating)"kmer" directory containing k-mers of query sequences and ".loc" file showing the number of ".kmer" lines associated to each sequence Code is freely available at Github. University of Arizona, University of Arizona 1 2016 Bonnie Hurwitz, Ken Youens-Clark 2016. K-mer-based host screening. protocols.io dx.doi.org/10.17504/protocols.io.ehjbb4n 2021-03-29 03:08:52
Effective early disease risk assessment with matrix factorization on a large-scale medical database
 
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Chu-Yu Chin, Sun-Yuan Hsieh, Vincent S. Tseng 10.17504/protocols.io.rv2d68e The early assessment of disease risk is an emerging topic in medical informatics. If diseases are detected at an early stage, prognosis can be improved and medical resources can be used more efficiently. A number of recent studies have considered risk factor analysis approaches, such as association rule mining, sequential rule mining, regression, and medical expert advice. In this study, for improving disease risk assessment, non-negative matrix factorization and support vector machine (SVM) were integrated to discover important and implicit risk factors.To make the method easy to follow, here we provide an experimental protocal. This experimental protocal comprises three main stages: data preprocessing, risk factor optimization, and early disease risk assessment. To discover the optimized risk factors, the NMF algorithm with parameter optimization was used for constructing the NMF-based matrix. In the assessment model learning and early disease risk assessment stages, the machine learning classifier SVM was used for disease modeling with the NMF-based matrix, yielding the final disease risk assessment, which serves as an excellent reference for physicians and patients. Chin C, Hsieh S, Tseng VS (2018) eDRAM: Effective early disease risk assessment with matrix factorization on a large-scale medical database: A case study on rheumatoid arthritis. PLoS ONE 13(11): e0207579. doi: 10.1371/journal.pone.0207579 National Cheng Kung University, National Cheng Kung University, National Chiao Tung University https://doi.org/10.1371/journal.pone.0207579 1 2018 Chu-Yu Chin, Sun-Yuan Hsieh, Vincent S. Tseng 2018. Effective early disease risk assessment with matrix factorization on a large-scale medical database. protocols.io dx.doi.org/10.17504/protocols.io.rv2d68e 2021-03-29 03:08:50
Evaluation of single and multilocus DNA barcodes towards species delineation in complex tree genus Terminalia,
 
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Priyanka Mishra, Amit Kumar, Akshitha Nagireddy, Ashutosh K. Shukla, Velusamy Sundaresan 10.17504/protocols.io.h4rb8v6 Mishra P, Kumar A, Nagireddy A, Shukla AK, Sundaresan V (2017) Evaluation of single and multilocus DNA barcodes towards species delineation in complex tree genus Terminalia. PLoS ONE 12(8): e0182836. doi: 10.1371/journal.pone.0182836 , , , , https://doi.org/10.1371/journal.pone.0182836 1 2017 Priyanka Mishra, Amit Kumar, Akshitha Nagireddy, Ashutosh K. Shukla, Velusamy Sundaresan 2017. Evaluation of single and multilocus DNA barcodes towards species delineation in complex tree genus Terminalia,. protocols.io dx.doi.org/10.17504/protocols.io.h4rb8v6 2021-03-29 03:08:51
CANARY Segmentation of Lung Adenocarcinoma
 
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Erica C. Nakajima, Ronald Karwoski, Fabien Maldonado, Srinivasan Rajagopalan, Tucker F. Johnson, Michael P. Frankland 10.17504/protocols.io.mrcc52w Computer-Aided Nodule Assessment and Risk Yield (CANARY) is a novel computed tomography (CT) tool developed at Mayo Clinic (Rochester, MN) that characterizes early lung adenocarcinoma by detecting nine distinct voxel classes, representing a spectrum of lepidic to invasive growth, within an adenocarcinoma. CANARY characterization has been shown to correlate with ADC histology and patient outcomes.This protocol provides basic instructions for segmentation of lung adenocarcinoma on CT imaging. CANARY has been validated in lung adenocarcinomas less than 3cm in diameter Nakajima EC, Frankland MP, Johnson TF, Antic SL, Chen H, Chen S, Karwoski RA, Walker R, Landman BA, Clay RD, Bartholmai BJ, Rajagopalan S, Peikert T, Massion PP, Maldonado F (2018) Assessing the inter-observer variability of Computer-Aided Nodule Assessment and Risk Yield (CANARY) to characterize lung adenocarcinomas. PLoS ONE 13(6): e0198118. doi: 10.1371/journal.pone.0198118 Vanderbilt University Medical Center, , , , , https://doi.org/10.1371/journal.pone.0198118 1 2018 Erica C. Nakajima, Ronald Karwoski, Fabien Maldonado, Srinivasan Rajagopalan, Tucker F. Johnson, Michael P. Frankland 2018. CANARY Segmentation of Lung Adenocarcinoma. protocols.io dx.doi.org/10.17504/protocols.io.mrcc52w 2021-03-29 03:08:52
ActA purification protocol
 
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Sharifah Albraiki 10.17504/protocols.io.nkadcse Beck Lab Wichita State University 1 2019 Sharifah Albraiki 2019. ActA purification protocol. protocols.io dx.doi.org/10.17504/protocols.io.nkadcse 2021-03-29 03:08:50
In silico and RT-qPCR analysis of the 8q22.2 region in muscle invasive bladder cancer
 
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Daniel Uysal, Philipp Erben 10.17504/protocols.io.bmewk3fe Uysal D, Kowalewski K, Kriegmair MC, Wirtz R, Popovic ZV, Erben P (2021) A comprehensive molecular characterization of the 8q22.2 region reveals the prognostic relevance of OSR2 mRNA in muscle invasive bladder cancer. PLoS ONE 16(3): e0248342. doi: 10.1371/journal.pone.0248342 Clinic of Urology and Urosurgery, Medical Faculty Mannheim, University of Heidelberg, Clinic of Urology and Urosurgery, Medical Faculty Mannheim, University of Heidelberg https://doi.org/10.1371/journal.pone.0248342 1 2021 Daniel Uysal, Philipp Erben 2021. In silico and RT-qPCR analysis of the 8q22.2 region in muscle invasive bladder cancer. protocols.io dx.doi.org/10.17504/protocols.io.bmewk3fe 2021-03-29 03:08:50
A lateral flow-based at-home test for detection of SARS-CoV-2
 
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Peng Xu, Venice Servellita, Krzysztof Langer, Dan Weisgerber, Gordon Murtaugh, Adam R Abate, Charles Chiu 10.17504/protocols.io.bs8bnhsn Coronavirus Method Development Community, UCSF We have developed a highly sensitive and specific LAMP(loop-mediated amplification)-based assay for thedetection of SARS-CoV-2 that can potentially be used for at-home and point-of-care (POC) testing. The assayincludes only three simple steps: (1) heat inactivate the sample mixed with lysis buffer and add LAMP reagentmix, (2) incubate the reaction on a heating device, and (3) read the result by inserting a lateral flow strip intothe tube. Performance is comparable to gold-standard RT-PCR testing, as the assay is based on nucleic aciddetection rather than antigen detection which is used by the majority of lateral flow strip-based assays. There isminimal pre-processing involved and no bulky instrumentation needed, and non-lab professionals can followthe instructions and understand the results easily. The assay targets the SARS-CoV-2 nucleoprotein (N) geneand is capable of detecting as low as 4.0 copies per reaction (0.5 copies/μL) of SARS-CoV-2 RNA,demonstrating no cross-reactivity with a panel of 20 other respiratory pathogens. Furthermore, the test can berun on multiple sample types, including nasopharyngeal and/or oropharyngeal swab and saliva samples.Overall, this assay provides a rapid (sample-to-answer turnaround time of ~40 min), accurate, and affordablesolution to the challenge of at-home diagnostics for SARS-CoV-2. Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biosciences, University of California, San Francisco, California, USA, Department of Medicine, Division of Infectious Diseases, University of California San Francisco, San Francisco, CA, USA, Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biosciences, University of California, San Francisco, California, USA, Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biosciences, University of California, San Francisco, California, USA, Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biosciences, University of California, San Francisco, California, USA, Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biosciences, University of California, San Francisco, California, USA, Department of Medicine, Division of Infectious Diseases, University of California San Francisco, San Francisco, CA, USA 1 2021 Peng Xu, Venice Servellita, Krzysztof Langer, Dan Weisgerber, Gordon Murtaugh, Adam R Abate, Charles Chiu 2021. A lateral flow-based at-home test for detection of SARS-CoV-2. protocols.io dx.doi.org/10.17504/protocols.io.bs8bnhsn 2021-03-29 03:08:50
Gibson Assembly in V. natriegens
 
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Daniel Marchal 10.17504/protocols.io.uvdew26 Adapted from https://www.protocols.io/view/Gibson-Assembly-Protocol-E5510-imss45 iGEM Team Marburg 2018 1 2018 Daniel Marchal 2018. Gibson Assembly in V. natriegens. protocols.io dx.doi.org/10.17504/protocols.io.uvdew26 2021-03-29 03:08:50
Vandy - Tail-Cuff Blood Pressure
 
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Chee Lim 10.17504/protocols.io.yymfxu6 Mouse Metabolic Phenotyping Centers Summary:The tail-cuff blood pressure measurement is a non-invasive test and the principle is the same as that of the inflatable blood pressure cuff used in the standard clinic visit. The Visitech system uses an LED light source to detect the pulse signal wave. Since the measurement is sensitive to motion artifact, the procedure requires training sessions to acclimate the mouse to the process. Vanderbilt University https://mmpc.org/shared/document.aspx?id=224&docType=Protocol 1 2019 Chee Lim 2019. Vandy - Tail-Cuff Blood Pressure. protocols.io dx.doi.org/10.17504/protocols.io.yymfxu6 2021-03-29 03:08:52
nCoV-2019 sequencing protocol for illumina
 
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Kentaro Itokawa, Tsuyoshi Sekizuka, Masanori Hashino, Rina Tanaka, Makoto Kuroda 10.17504/protocols.io.bnn7mdhn Coronavirus Method Development Community This protocol is folked from "ARTIC amplicon sequencing protocol for MinION for nCoV-2019" by Josh Quick to adapt it to illumina sequencers. In this Version V3, the reverse-transcription step was changed to use of NEB's LunaScript RT SuperMix Kit instead of Thermo Fisher's SuperScript IV Reverse Transcriptase as adapting to the recent update of ARTIC Network's protocol (LoCost). Tyson et al., Improvements to the ARTIC multiplex PCR method for SARS-CoV-2 genome sequencing using nanopore bioRxiv2020.09.04.283077;doi:https://doi.org/10.1101/2020.09.04.283077 Because the PCR products are fragmented before ligated with adapters, this protocol is compatible to many sequencing kits with various read lengths (75PE, 150PE, etc.) in Illumina machines. While the library preparation uses QiaSeq FX by Qiagen and is basically straight forward (as par kit instruction but modified to 1/4 scale), some tweaks for much of simplicity and speed were added.Change histories (V2): The amount of cDNA input to multiplex PCR is increased (now almost same amount to the ARTIC Network's original protocol) (Step 10). This change gives better results for samples with extremely low RNA copy. Amount of adapter solution input was corrected (Step 19).Change histories (V3): RT step has been changed to use of LunaScript (Tyson et al., 2020).Corrected typos and wrong descriptions about amount of reagents.Added a link to library quantification protocol.Other minor changes.Change histories (V3): RT step has been changed to use of LunaScript (Tyson et al., 2020).Corrected typos and wrong descriptions about amount of reagents.Added a link to library quantification protocol.Other minor changes. National Institute of Infectious Diseases, Japan, National Institute of Infectious Diseases, Japan, National Institute of Infectious Diseases, Japan, National Institute of Infectious Diseases, Japan, National Institute of Infectious Diseases, Japan 3 2020 Kentaro Itokawa, Tsuyoshi Sekizuka, Masanori Hashino, Rina Tanaka, Makoto Kuroda 2020. nCoV-2019 sequencing protocol for illumina. protocols.io dx.doi.org/10.17504/protocols.io.bnn7mdhn 2021-03-29 03:08:52
MG_HW3: Quality Control and Pre-processing
 
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James Thornton 10.17504/protocols.io.fuwbnxe Hurwitz Lab, MetaFunc Course This protocol will introduce a workflow for quality control and pre-processing of metagenomic sequence reads using FastQC for visualization and FastX Toolkit for editing the fastq files.  Hurwitz Lab 1 2016 James Thornton 2016. MG_HW3: Quality Control and Pre-processing. protocols.io dx.doi.org/10.17504/protocols.io.fuwbnxe 2021-03-29 03:08:52
UC Davis - Ex vivo assessment of barrier function-gut permeability
 
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Amy Ehrlich, Trina Knotts 10.17504/protocols.io.yipfudn Mouse Metabolic Phenotyping Centers Gut tissue (by region- e.g ileum & colon) will be opened along the mesenteric border and mounted in Ussing chambers (Physiologic Instruments, San Diego, CA, USA), exposing 0.3 cm² of tissue surface area to 2.5ml of oxygenated Krebs-glucose (10mM) and Krebs-mannitol (10mM) at 37°C on the serosal and luminal sides, respectively. The paracellular pathway and transcellular pathway will be measured as the flux of FITC-Dextran 4000 (FD-4, Sigma –Aldrich) and horseradish peroxidase (HRP Type VI, Sigma Aldrich), respectively. FD-4 (400µg/ml) and HRP (200µg/ml) will be added to the mucosal chamber and samples will be collected from the serosal chamber every 30 min for 2 hours. Concentration of FD-4 is measured via fluorescence at excitation 485 nm, emission 538 nm. O-dianisidine substrate is used to detect HRP at absorbance 450 nm. University of California, Davis, University of California, Davis https://mmpc.org/shared/document.aspx?id=300&docType=Protocol 1 2019 Amy Ehrlich, Trina Knotts 2019. UC Davis - Ex vivo assessment of barrier function-gut permeability. protocols.io dx.doi.org/10.17504/protocols.io.yipfudn 2021-03-29 03:08:52
Triglyceride Quantification
 
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Wen Aw 10.17504/protocols.io.rv9d696 Cage Studies Aw WC, Towarnicki SG, Melvin RG, Youngson NA, Garvin MR, Hu Y, Nielsen S, Thomas T, Pickford R, Bustamante S, Vila-Sanjurjo A, Smyth GK, Ballard JWO (2018) Genotype to phenotype: Diet-by-mitochondrial DNA haplotype interactions drive metabolic flexibility and organismal fitness. PLoS Genet 14(11): e1007735. doi: 10.1371/journal.pgen.1007735 [email protected] https://doi.org/10.1371/journal.pgen.1007735 1 2018 Wen Aw 2018. Triglyceride Quantification. protocols.io dx.doi.org/10.17504/protocols.io.rv9d696 2021-03-29 03:08:52

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