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algorithms compass  (Protein Simple Inc)


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    Structured Review

    Protein Simple Inc algorithms compass
    Algorithms Compass, supplied by Protein Simple Inc, used in various techniques. Bioz Stars score: 99/100, based on 1644 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/simpls+algorithm/Simple-Western-System/pm39277863-513-7-12
    Average 99 stars, based on 1644 article reviews
    algorithms compass - by Bioz Stars, 2026-10
    99/100 stars

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    Related Articles

    Western Blot:

    Article Title: Intracellular Lactate Modulation Alters Histone Modifications and CHO Cell Performance in Fed-Batch Culture.
    Article Snippet: Lactate is a major byproduct of Chinese hamster ovary (CHO) cell metabolism, typically accumulating during the exponential growth phase and being consumed later during the production phase.. Although commonly viewed as a waste product, recent studies suggest that lactate may play a broader role in cellular regulation.. To investigate this, we developed a system to modulate intracellular lactate levels by co‐expressing lactate oxidase (LOX) and catalase (CAT) in specific cellular compartments, including the cytosol, nucleus, and mitochondria.

    Article Title: Exosomal miRNA-218–5p derived from low-passage dermal papilla cells modulates hair follicle growth and development
    Article Snippet: Protein concentrations were quantified by the Enhanced BCA Protein Kit (Beyotime, China, Cat No. P0012). .. For exosome identification, protein samples were analyzed via the Wes automated Western blotting system (Protein Simple) following the manufacturer's instructions [ ]. .. Exosome protein lysates were probed with anti-TSG101 mouse monoclonal antibody (Proteintech, China, Cat No. 67381-1-Ig), anti-CD9 mouse polyclonal antibody (Proteintech, China, Cat No. 20597-1-AP), and anti-Calnexin monoclonal antibody (Proteintech, China, Cat No. 66903-1-Ig).

    Article Title: Deciphering the core antiviral mechanism of Yinqiao powder: Inhibition of dengue virus adsorption mediated by wogonin via host receptor HSP90AA1 blockade.
    Article Snippet: Objective: Dengue virus (DENV) remains a significant public health threat, yet no effective antiviral therapies are currently available.. Based on TCM theory, the treatment of dengue emphasizes the principles of clearing heat and detoxifying, cooling blood and dissipating blood stasis.. Yinqiao Powder (YQS), a famous clearing heat and detoxifying formula, has a good curative effect on the virus-induced diseases, and theoretically has potential value in the treatment of dengue.

    Article Title: Exosomal miRNA-218–5p derived from low-passage dermal papilla cells modulates hair follicle growth and development
    Article Snippet: The morphology of DPC-Exos was observed by transmission electron microscopy (TEM) using the HT-7700 TEM (Hitachi, Tokyo, Japan). .. The expression levels of exosome-specific markers were detected through the Wes automated Western blotting system (Protein Simple) following the manufacturer's instructions [ ]. .. Nanoparticle tracking analysis (NTA) was employed to estimate the particle size of DPC-Exos using a ZetaView PMX 110 instrument (Particle Metrix, Meerbusch, Germany).

    Electrophoresis:

    Article Title: Intracellular Lactate Modulation Alters Histone Modifications and CHO Cell Performance in Fed-Batch Culture.
    Article Snippet: Lactate is a major byproduct of Chinese hamster ovary (CHO) cell metabolism, typically accumulating during the exponential growth phase and being consumed later during the production phase.. Although commonly viewed as a waste product, recent studies suggest that lactate may play a broader role in cellular regulation.. To investigate this, we developed a system to modulate intracellular lactate levels by co‐expressing lactate oxidase (LOX) and catalase (CAT) in specific cellular compartments, including the cytosol, nucleus, and mitochondria.

    Simple Western:

    Article Title: Modeling human enterovirus A71 infection using an intestinal microphysiological system.
    Article Snippet: .. Data were analyzed and visualized using Compass for Simple Western software (ProteinSimple). ..

    Article Title: The FAM53C/DYRK1A axis regulates the G1/S transition of the cell cycle
    Article Snippet: Protein extracts were quantified using the Pierce BCA Protein Assay Kit according to the manufacturer’s instructions (Thermo Fisher Scientific, 23227). .. For quantitative immunoassays, the capillary-based Simple Western assay was performed on the Wes system (ProteinSimple) according to the manufacturer’s protocol with 1 μg of protein used per lane. .. Compass software (ProteinSimple) was used for protein quantification, using the default settings unless otherwise specified.

    Article Title: N-Acetylcysteine Prevents Arsenic-Induced Apoptosis but Not Supernumerary Motor Neuron Development in Zebrafish Embryos: Assessment of Protein Carbonylation and the p53 Pathway.
    Article Snippet: .. Protein oxidation was examined using OxyBlotTM kit (Millipore Sigma, Rockville, MD, USA) combined with JessTM Simple-Western analyses (ProteinSimple, San Jose, CA, USA). ..

    Article Title: N-Acetylcysteine Prevents Arsenic-Induced Apoptosis but Not Supernumerary Motor Neuron Development in Zebrafish Embryos: Assessment of Protein Carbonylation and the p53 Pathway.
    Article Snippet: After the chemiluminescence signals of the DNP-derivatized proteins (carbonylated proteins) in each capillary were captured, the chemiluminescence signals were stripped using a RePlexTM kit (ProteinSimple). .. Total proteins in each capillary were then determined using Simple-Western Total Protein Detection Module (ProteinSimple), which is a chemiluminescence-based total protein assay kit. .. The chemiluminescence signals of the DNP-derivatized proteins or carbonylated proteins and the total protein in each capillary were quantified using Compass software version 6.3.0 (ProteinSimple).

    Software:

    Article Title: Modeling human enterovirus A71 infection using an intestinal microphysiological system.
    Article Snippet: .. Data were analyzed and visualized using Compass for Simple Western software (ProteinSimple). ..

    Expressing:

    Article Title: Exosomal miRNA-218–5p derived from low-passage dermal papilla cells modulates hair follicle growth and development
    Article Snippet: The morphology of DPC-Exos was observed by transmission electron microscopy (TEM) using the HT-7700 TEM (Hitachi, Tokyo, Japan). .. The expression levels of exosome-specific markers were detected through the Wes automated Western blotting system (Protein Simple) following the manufacturer's instructions [ ]. .. Nanoparticle tracking analysis (NTA) was employed to estimate the particle size of DPC-Exos using a ZetaView PMX 110 instrument (Particle Metrix, Meerbusch, Germany).



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    ( a ) Density plot of the rate of reads with correct base calling. The rate was calculated at each position of plasmids and displayed using representative nanopore sequencing results. ( b ) Averaged quality score distribution of reads with correct rate of less than 0.7 (upper panel) and more than 0.9 (bottom panel). The corresponding regions are displayed with dashed red frames in ( a ). Of note, ‘omitted’ represents reads that did not cover the focused position. ( c ) Probability logo plot. Statistical significance (−log 10 [p-value]) was calculated for a 5-mer around the positions that showed correct rate lower than 0.7 in ( a ) using those that showed more than 0.9 as a background. Enriched residues are stacked on the top, whereas depleted residues are stacked on the bottom. ( d ) Estimated probability of incorrect classification. Based on the match/mismatch/deletion ratio of reads obtained in the ‘worst-case scenario’, i.e., top panel in ( b ), the probability of incorrect classification of a read was calculated assuming that two plasmids that differ by the indicated base(s) were mixed. ( e ) Estimated probability of correct/incorrect consensus base calling. Based on the quality score distribution obtained in the ‘worst-case scenario’, i.e., top panel in ( b ), the indicated number of reads were generated in silico, and the consensus base calling was calculated using Simple Algorithm for Very Efficient Multiplexing of Oxford Nanopore Experiments for You <t>(SAVEMONEY).</t> The simulation was performed 10,000 times for each condition to calculate the probability of correct/incorrect consensus base calling. Figure 6—source code 1. Source code used to make . Figure 6—source code 2. Source code used to make . Figure 6—source data 1. Csv file containing raw data used to make . Figure 6—source data 2. Csv file containing raw data used to make . Figure 6—source data 3. Text file containing raw data used to make . Figure 6—source data 4. Csv file containing raw data used to make .
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    Image Search Results


    ( a ) Density plot of the rate of reads with correct base calling. The rate was calculated at each position of plasmids and displayed using representative nanopore sequencing results. ( b ) Averaged quality score distribution of reads with correct rate of less than 0.7 (upper panel) and more than 0.9 (bottom panel). The corresponding regions are displayed with dashed red frames in ( a ). Of note, ‘omitted’ represents reads that did not cover the focused position. ( c ) Probability logo plot. Statistical significance (−log 10 [p-value]) was calculated for a 5-mer around the positions that showed correct rate lower than 0.7 in ( a ) using those that showed more than 0.9 as a background. Enriched residues are stacked on the top, whereas depleted residues are stacked on the bottom. ( d ) Estimated probability of incorrect classification. Based on the match/mismatch/deletion ratio of reads obtained in the ‘worst-case scenario’, i.e., top panel in ( b ), the probability of incorrect classification of a read was calculated assuming that two plasmids that differ by the indicated base(s) were mixed. ( e ) Estimated probability of correct/incorrect consensus base calling. Based on the quality score distribution obtained in the ‘worst-case scenario’, i.e., top panel in ( b ), the indicated number of reads were generated in silico, and the consensus base calling was calculated using Simple Algorithm for Very Efficient Multiplexing of Oxford Nanopore Experiments for You (SAVEMONEY). The simulation was performed 10,000 times for each condition to calculate the probability of correct/incorrect consensus base calling. Figure 6—source code 1. Source code used to make . Figure 6—source code 2. Source code used to make . Figure 6—source data 1. Csv file containing raw data used to make . Figure 6—source data 2. Csv file containing raw data used to make . Figure 6—source data 3. Text file containing raw data used to make . Figure 6—source data 4. Csv file containing raw data used to make .

    Journal: eLife

    Article Title: Barcode-free multiplex plasmid sequencing using Bayesian analysis and nanopore sequencing

    doi: 10.7554/eLife.88794

    Figure Lengend Snippet: ( a ) Density plot of the rate of reads with correct base calling. The rate was calculated at each position of plasmids and displayed using representative nanopore sequencing results. ( b ) Averaged quality score distribution of reads with correct rate of less than 0.7 (upper panel) and more than 0.9 (bottom panel). The corresponding regions are displayed with dashed red frames in ( a ). Of note, ‘omitted’ represents reads that did not cover the focused position. ( c ) Probability logo plot. Statistical significance (−log 10 [p-value]) was calculated for a 5-mer around the positions that showed correct rate lower than 0.7 in ( a ) using those that showed more than 0.9 as a background. Enriched residues are stacked on the top, whereas depleted residues are stacked on the bottom. ( d ) Estimated probability of incorrect classification. Based on the match/mismatch/deletion ratio of reads obtained in the ‘worst-case scenario’, i.e., top panel in ( b ), the probability of incorrect classification of a read was calculated assuming that two plasmids that differ by the indicated base(s) were mixed. ( e ) Estimated probability of correct/incorrect consensus base calling. Based on the quality score distribution obtained in the ‘worst-case scenario’, i.e., top panel in ( b ), the indicated number of reads were generated in silico, and the consensus base calling was calculated using Simple Algorithm for Very Efficient Multiplexing of Oxford Nanopore Experiments for You (SAVEMONEY). The simulation was performed 10,000 times for each condition to calculate the probability of correct/incorrect consensus base calling. Figure 6—source code 1. Source code used to make . Figure 6—source code 2. Source code used to make . Figure 6—source data 1. Csv file containing raw data used to make . Figure 6—source data 2. Csv file containing raw data used to make . Figure 6—source data 3. Text file containing raw data used to make . Figure 6—source data 4. Csv file containing raw data used to make .

    Article Snippet: Here, we have developed a barcode-free, easy-to-use computational approach termed Simple Algorithm for Very Efficient Multiplexing of Oxford Nanopore Experiments for You (SAVEMONEY) that guides users to pool samples for nanopore sequencing and effectively reduces sequencing costs to as low as $2.50 (USD) per plasmid, which is about twice less expensive than one reaction of Sanger sequencing.

    Techniques: Nanopore Sequencing, Generated, In Silico, Multiplexing

    Journal: eLife

    Article Title: Barcode-free multiplex plasmid sequencing using Bayesian analysis and nanopore sequencing

    doi: 10.7554/eLife.88794

    Figure Lengend Snippet:

    Article Snippet: Here, we have developed a barcode-free, easy-to-use computational approach termed Simple Algorithm for Very Efficient Multiplexing of Oxford Nanopore Experiments for You (SAVEMONEY) that guides users to pool samples for nanopore sequencing and effectively reduces sequencing costs to as low as $2.50 (USD) per plasmid, which is about twice less expensive than one reaction of Sanger sequencing.

    Techniques: Recombinant, Plasmid Preparation, Mutagenesis, Construct, Software