For the 16S-like simulations with 78,132 distinct sequences, we used a maximum-likelihood tree inferred from a non-redundant aligned subset of the full set of 16S sequences ( % identity) by an earlier version of FastTree (1.9) with the Jukes-Cantor model (no CAT). To ensure that the simulated trees were resolvable, which facilitates comparison of methods (but inflates the accuracy of all methods), branch lengths of less than 0.001 were replaced with values of 0.001, which corresponds to roughly one substitution across the internal branch, as the 16S alignment has 1,287 positions. Evolutionary rates for each site were randomly selected from 16 rate categories according to a gamma distribution with a coefficient of variation of 0.7. Given the tree and the rates, sequences were simulated with Rose [34] (link) under the HKY model and no transition bias. To allow Rose to handle branch lengths of less than 1%, we set “MeanSubstitution = 0.00134” and multiplied the branch lengths by 1,000.
Proteins
They are composed of amino acids, which are linked together in a specific sequence to form a unique three-dimensional structure.
Proteins are involved in a wide range of biological processes, including catalyzing chemical reactions, transporting and storing other molecules, providing structural support, and regulating cellular processes.
They can be found in a variety of forms, such as enzymes, hormones, antibodies, and structural proteins.
Understanding the structure and function of proteins is crucial for advancing our knowledge of biology and developing new therapies for a range of diseases.
Reseachers can leverage the power of PubCompare.ai to optimize their protein research and enhance reproducibility.
Most cited protocols related to «Proteins»
For the 16S-like simulations with 78,132 distinct sequences, we used a maximum-likelihood tree inferred from a non-redundant aligned subset of the full set of 16S sequences ( % identity) by an earlier version of FastTree (1.9) with the Jukes-Cantor model (no CAT). To ensure that the simulated trees were resolvable, which facilitates comparison of methods (but inflates the accuracy of all methods), branch lengths of less than 0.001 were replaced with values of 0.001, which corresponds to roughly one substitution across the internal branch, as the 16S alignment has 1,287 positions. Evolutionary rates for each site were randomly selected from 16 rate categories according to a gamma distribution with a coefficient of variation of 0.7. Given the tree and the rates, sequences were simulated with Rose [34] (link) under the HKY model and no transition bias. To allow Rose to handle branch lengths of less than 1%, we set “MeanSubstitution = 0.00134” and multiplied the branch lengths by 1,000.
Reconstructed transcript sequences (via de novo assembly, Scripture, or Cufflinks) were mapped to the reference coding sequences using BLAT35 (link). Full-length reference annotation mappings were defined as having at least 95% sequence identity covering the entire reference coding sequence and containing at most 5% insertions or deletions (cumulative gap content). In evaluating methods that leverage the strand-specific data (Trinity and Cufflinks), proper sense-strand mapping of sequences was required. Transcripts reconstructed by the alternative methods (Scripture, ABySS, and SOAPdenovo) were allowed to map to either strand. Fusion transcripts were identified as individual reconstructed transcripts that mapped as full-length to multiple reference coding sequences and lacked overlap among the matching regions within the reconstructed transcript. One-to-one mappings were required between reconstructed transcripts and reference transcripts, including alternatively spliced isoforms, with the exception of fusion transcripts.
The second program ‘identifies’ statistically significantly enriched pathways and diseases by comparing results from the first program against the background (usually genes from the whole genome, or all probe sets on a microarray). Users can define their own background distribution in KOBAS 2.0 (for example, result from the first program to ‘annotate’ all probe sets on a microarray). If users do not upload a background file, KOBAS 2.0 uses the genes from whole genome as the default background distribution. Here, we consider only pathways and diseases for which there are at least two genes mapped in the input. Users can choose to perform statistical test using one of the following four methods: binomial test, chi-square test, Fisher's exact test and hypergeometric test, and perform FDR correction. The purpose of performing FDR correction is to reduce the Type-1 errors. When a large number of pathway and disease terms are considered, multiple hypotheses tests are performed, which leads to a high overall Type-1 error even for a relatively stringent P-value cutoff. KOBAS 1.0 supports the FDR correction method QVALUE (39 ). In KOBAS 2.0, we add two more popular FDR correction methods: Benjamini-Hochberg (40 ) and Benjamini-Yekutieli (41 ).
Most recents protocols related to «Proteins»
Example 10
This example provides in vitro IC50 data for the blocking of the interaction between recombinant human PD-1 (PD-1-Fc Chimera; Sino Biologics) and human PD-L1 expressed CHO cells by anti-PD-L1 antibody G12. Here, CHO cells expressing PD-L1 were pre-incubated with G12 prior to the addition of rhPD-1-Fc chimeric protein. After incubation and washing, PD-1 binding to cell surface expressed PD-L1 was detected using an Alexa-Fluor 647 tagged anti-PD-1 antibody by flow cytometry (Intellicyt HTFC; FL-4H). This example shows that anti-PD-L1 monoclonal antibody G12 was able to inhibit efficiently the binding of PD-1 to PD-L1 expressed on the surface of CHO cells.
Results: As shown in
Example 1
Cell-free fractions were prepared as previously described (25). Briefly, Lactobacillus acidophilus strain La-5 was grown overnight in modified DeMann, Rogosa and Sharpe medium. (mMRS; 10 g peptone from casein, 8 g meat extract, 4 g yeast extract, 8 g D(+)-glucose, 2 g dipotassium hydrogen phosphate, 2 g di-ammonium hydrogen citrate, 5 g sodium acetate, 0.2 g magnesium sulfate, 0.04 g manganese sulfate in 1 L distilled water) (MRS; BD Diagnostic Systems, Sparks, MD). The overnight culture was diluted 1:100 in fresh medium. When the culture grew to an optical density at 600 nm (OD600) of 1.6 (1.2×108 cells/ml), the cells were harvested by centrifugation at 6,000×g for 10 min at 4° C. The supernatant was sterilized by filtering through a 0.2-μm-pore-size filter (Millipore, Bioscience Division, Mississauga, ON, Canada) and will be referred to as cell-free spent medium (CFSM). Two litres of L. acidophilus La-5 CFSM was collected and freeze-dried (Unitop 600 SL, VirTis Co., Inc. Gardiner, NY., USA). The freeze-dried CFSM was reconstituted with 200 ml of 18-Ω water. The total protein content of the reconstituted CFSM was quantified using the BioRad DC protein assay kit II (Bio-Rad Laboratories Ltd., Mississauga, ON, Canada). Freeze-dried CFSM was stored at −20° C. prior to the assays.
Example 19
The above silk solutions were transformed to a silk powder through lyophilization to remove bulk water and chopping to small pieces with a blender. pH was adjusted with sodium hydroxide. Low molecular weight silk (−25 kDa) was soluble while high molecular weight silk (−60 kDa) was not.
The lyophilized silk powder can be advantageous for enhanced storage control ranging from 10 days to 10 years depending on storage and shipment conditions. The lyophilized silk powder can also be used as a raw ingredient in the pharmaceutical, medical, consumer, and electronic markets. Additionally, lyophilized silk powder can be re-suspended in water, HFIP, or an organic solution following storage to create silk solutions of varying concentrations, including higher concentration solutions than those produced initially.
In an embodiment, aqueous pure silk fibroin-based protein fragment solutions of the present disclosure comprising 1%, 3%, and 5% silk by weight were each dispensed into a 1.8 L Lyoguard trays, respectively. All 3 trays were placed in a 12 ft2 lyophilizer and a single run performed. The product was frozen with a shelf temperature of ≤−40° C. and held for 2 hours. The compositions were then lyophilized at a shelf temperature of −20° C., with a 3 hour ramp and held for 20 hours, and subsequently dried at a temperature of 30° C., with a 5 hour ramp and held for about 34 hours. Trays were removed and stored at ambient conditions until further processing. Each of the resultant lyophilized silk fragment compositions were able to dissolve in aqueous solvent and organic solvent to reconstitute silk fragment solutions between 0.1 wt % and 8 wt %. Heating and mixing were not required but were used to accelerate the dissolving rate. All solutions were shelf-stable at ambient conditions.
In an embodiment, an aqueous pure silk fibroin-based protein fragment solution of the present disclosure, fabricated using a method of the present disclosure with a 30 minute boil, has a molecular weight of about 57 kDa, a polydispersity of about 1.6, inorganic and organic residuals of less than 500 ppm, and a light amber color.
In an embodiment, an aqueous pure silk fibroin-based protein fragment solution of the present disclosure, fabricated using a method of the present disclosure with a 60 minute boil, has a molecular weight of about 25 kDa, a polydispersity of about 2.4, inorganic and organic residuals of less than 500 ppm, and a light amber color.
Example 2
The next experiments asked whether inhibition of the same set of FXN-RFs would also upregulate transcription of the TRE-FXN gene in post-mitotic neurons, which is the cell type most relevant to FA. To derive post-mitotic FA neurons, FA(GM23404) iPSCs were stably transduced with lentiviral vectors over-expressing Neurogenin-1 and Neurogenin-2 to drive neuronal differentiation, according to published methods (Busskamp et al. 2014, Mol Syst Biol 10:760); for convenience, these cells are referred to herein as FA neurons. Neuronal differentiation was assessed and confirmed by staining with the neuronal marker TUJ1 (
It was next determined whether shRNA-mediated inhibition of FXN-RFs could ameliorate two of the characteristic mitochondrial defects of FA neurons: (1) increased levels of reactive oxygen species (ROS), and (2) decreased oxygen consumption. To assay for mitochondrial dysfunction, FA neurons an FXN-RF shRNA or treated with a small molecule FXN-RF inhibitor were stained with MitoSOX, (an indicator of mitochondrial superoxide levels, or ROS-generating mitochondria) followed by FACS analysis.
Mitochondrial dysfunction results in reduced levels of several mitochondrial Fe-S proteins, such as aconitase 2 (ACO2), iron-sulfur cluster assembly enzyme (ISCU) and NADH:ubiquinone oxidoreductase core subunit S3 (NDUFS3), and lipoic acid-containing proteins, such as pyruvate dehydrogenase (PDH) and 2-oxoglutarate dehydrogenase (OGDH), as well as elevated levels of mitochondria superoxide dismutase (SOD2) (Urrutia et al., (2014) Front Pharmacol 5:38). Immunoblot analysis is performed using methods known in the art to determine whether treatment with an FXN-RF shRNA or a small molecule FXN-RF inhibitor restores the normal levels of these mitochondrial proteins in FA neurons.
Example 3
Recombinant Protein Purification
Once the chimera is generated, its functionality must be assured, that is, on one hand the scFv still recognizes the CEA antigen, and on the other hand GRNLY is still cytotoxic.
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More about "Proteins"
These large, complex molecules are composed of amino acids, linked together in a specific sequence to form a unique three-dimensional structure.
Proteins come in a variety of forms, such as enzymes, hormones, antibodies, and structural proteins, and are involved in a wide range of biological processes, including catalyzing chemical reactions, transporting and storing other molecules, providing structural support, and regulating cellular processes.
Understanding the structure and function of proteins is crucial for advancing our knowledge of biology and developing new therapies for a range of diseases.
Researchers can leverage the power of AI-driven platforms like PubCompare.ai to optimize their protein research and enhance reproducibility.
These platforms can help researchers locate the best protocols from literature, pre-prints, and patents using intelligent comparisons to identify the optimal solutions.
This can be especially useful when working with techniques and tools like PVDF membranes, BCA protein assay kits, Pierce BCA Protein Assay Kits, protease inhibitor cocktails, RIPA lysis buffers, and β-actin, as well as nitrocellulose membranes.
By streamlining the research process and identifying the most effective protocols, researchers can enhance the reproducibility of their protein studies and accelerate the development of new therapies and treatments.
This innovative AI-driven approach to protein research can help advance our understanding of these vital molecules and their role in human health and disease.