Whole-genome protein sequences from Arabidopsis, Populus, Vitis, Glycine, Oryza, Brachypodium, Sorghum and Zea were merged and searched against themselves for homology using BLASTP with an E-value cutoff of 10−5. Default parameters of OrthoMCL (50 (link)) were used. The combination of OrthoMCL intermediate files ‘orthologs.txt’ and ‘coorthologs.txt’ (generated by orthomclDumpPairsFiles) was used as the whole set of ortholog pairs.
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Amino Acid
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Glycine
Glycine
Glycine is an important amino acid that plays a crucial role in various biological processes.
It is the smallest and simplest of the 20 standard amino acids, with a single hydrogen atom as its side chain.
Glycine is involved in the synthesis of proteins, the metabolism of fats and carbohydrates, and the functioning of the nervous system.
It is also a neurotransmitter in the central nervous system, where it inhibits neuronal excitation.
Glycine has been studied extensively for its potential therapeutic applications, including in the treatment of neurological disorders, metabolic conditions, and immune-related diseases.
The PubCompare.ai platform can help researchers optimize their Glycine studies by providing access to a wealth of protocols from literature, preprints, and patents, and leveraging AI-driven comparisons to identify the best protocols and products.
This can enhance reproducibility and accuracy in Glycine research, leading to more reliable and impactful findings.
It is the smallest and simplest of the 20 standard amino acids, with a single hydrogen atom as its side chain.
Glycine is involved in the synthesis of proteins, the metabolism of fats and carbohydrates, and the functioning of the nervous system.
It is also a neurotransmitter in the central nervous system, where it inhibits neuronal excitation.
Glycine has been studied extensively for its potential therapeutic applications, including in the treatment of neurological disorders, metabolic conditions, and immune-related diseases.
The PubCompare.ai platform can help researchers optimize their Glycine studies by providing access to a wealth of protocols from literature, preprints, and patents, and leveraging AI-driven comparisons to identify the best protocols and products.
This can enhance reproducibility and accuracy in Glycine research, leading to more reliable and impactful findings.
Most cited protocols related to «Glycine»
Amino Acid Sequence
Arabidopsis
Brachypodium
Genome
Glycine
Oryza
Populus
Sorghum
Vitis
Quantitation limit was tested by analysis of six consecutive injections of salicylic acid standard solution at the concentration of 0.0005 mg ml−1 in a presence of placebo and glycine. Mean, SD and %RSD of the peak area response were calculated.
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Glycine
Placebos
Salicylic Acid
Alanine
Amino Acids
Dipeptides
Fever
Glycine
Mechanics
Proline
Radius
STEEP1 protein, human
Vertebral Column
One hour after infecting the cell monolayers with 30–50 plaque forming units of the virus in 1 ml of maintenance medium without trypsin, we removed the virus inoculum, covered the cells with 3 ml of the different overlay media and incubated cultures at 35°C in 5% CO2 atmosphere. In the case of MC and Avicel overlays, care was taken not to disturb the plates during the incubation period in order to avoid formation of non-even plaques. After three days of incubation, we removed the overlays and fixed the cells. Agar overlay was removed using metal spatula; MC, Avicel, and liquid overlays were removed by suction. The cells were fixed with 4% paraformaldehyde solution in MEM for 30 min at 4°C and washed with PBS. All subsequent treatments of the cells were performed at room temperature. We permeabilized the cells and simultaneously blocked residual aldehyde groups by incubating the cells for 10–20 min with 1 ml/well of solution containing 0.5 % Triton-X-100 and 20 mM glycine in PBS. We immuno-stained virus-infected cells by incubating for 1 hr with monoclonal antibodies specific for the influenza A virus nucleoprotein (kindly provided by Dr. Alexander Klimov at Centers for Disease Control, USA) followed by 1 hr incubation with peroxidase-labeled anti-mouse antibodies (DAKO, Denmark) and 30 min incubation with precipitate-forming peroxidase substrates. Solution of 10% normal horse serum and 0.05% Tween-80 in PBS was used for the preparation of working dilutions of immuno-reagents. We washed the cells after the primary and secondary antibodies by incubating them three times for 3–5 min with 0.05% Tween-80 in PBS. As peroxidase substrates, we employed either ready to use True Blue™ (KPL) or solution of aminoethylcarbazole (AEC, Sigma) (0.4 mg/ml) prepared in 0.05 M sodium acetate buffer, pH 5.5 and containing 0.03% H2O2. Stained plates were washed with tap water to stop the reaction and dried. In the case of True Blue staining, which is relatively unstable in water solutions, plates were dried inverted in order to minimize bleaching. Stained plates were scanned on a flat bed scanner and the data were acquired by Adobe Photoshop 7.0 software.
As an alternative to immuno-staining, in some experiments we revealed plaques as areas of destroyed cells. To this end, after removing the overlays, we stained the cells with 1% crystal violet solution in 20% methanol in water.
As an alternative to immuno-staining, in some experiments we revealed plaques as areas of destroyed cells. To this end, after removing the overlays, we stained the cells with 1% crystal violet solution in 20% methanol in water.
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Agar
Aldehydes
Anti-Antibodies
Antibodies
Atmosphere
Avicel
Buffers
Dental Plaque
Equus caballus
Glycine
Metals
Methanol
Monoclonal Antibodies
Mus
NP protein, Influenza A virus
paraform
Peroxidase
Peroxide, Hydrogen
Senile Plaques
Serum
Sodium Acetate
Suction Drainage
Technique, Dilution
Triton X-100
true blue
Trypsin
Tween 80
Violet, Gentian
Virus
We identified eight publicly available MHC class II prediction tools through literature search and the IMGT link list at http://imgt.cines.fr/textes/IMGTbloc-notes/ . For each tool, we mapped the MHC types for which predictions could be made to the four-digit HLA nomenclature (e.g., HLA-DRB1*0101). If this mapping could not be done exactly, we left that type/tool combination out of the evaluation. For example, HLA-DR4 could refer to HLA-DRB1*0401, DRB1*0402 etc, which do have distinct binding specificities.
For the ARB evaluation, the 10-fold cross validation results stored at IEDB was used to estimate performance since ARB was trained on datasets overlapping with the one used in this study. For the other seven tools in the evaluation, we wrote python script wrappers to automate prediction retrieval. For the SYFPEITHI prediction, we patched each testing peptide with three Glycine residues at both ends before we submitted it for prediction. This was recommended by the creators of SYFPEITHI method to ensure that all potential binders are presented to the prediction algorithm. For all other methods, the original testing peptides were submitted directly for prediction. Peptide sequences were sent to the web servers one at a time and predictions were extracted from the server's response. To assign a single prediction for peptides longer than nine amino acids in the context of tools predicting the affinity of 9-mer core binding regions, we took the highest affinity prediction of all possible 9-mers within the longer peptide as the prediction result.
For the ARB evaluation, the 10-fold cross validation results stored at IEDB was used to estimate performance since ARB was trained on datasets overlapping with the one used in this study. For the other seven tools in the evaluation, we wrote python script wrappers to automate prediction retrieval. For the SYFPEITHI prediction, we patched each testing peptide with three Glycine residues at both ends before we submitted it for prediction. This was recommended by the creators of SYFPEITHI method to ensure that all potential binders are presented to the prediction algorithm. For all other methods, the original testing peptides were submitted directly for prediction. Peptide sequences were sent to the web servers one at a time and predictions were extracted from the server's response. To assign a single prediction for peptides longer than nine amino acids in the context of tools predicting the affinity of 9-mer core binding regions, we took the highest affinity prediction of all possible 9-mers within the longer peptide as the prediction result.
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Amino Acids
Fingers
Genes, MHC Class II
Glycine
GPER protein, human
HLA-DR4 Antigen
HLA-DRB1 Antigen
Peptides
Python
Most recents protocols related to «Glycine»
Example 8
Characterization of Absorption, Distribution, Metabolism, and Excretion of Oral [14C]Vorasidenib with Concomitant Intravenous Microdose Administration of [13C315N3]Vorasidenib in Humans
Metabolite profiling and identification of vorasidenib (AG-881) was performed in plasma, urine, and fecal samples collected from five healthy subjects after a single 50-mg (100 μCi) oral dose of [14C]AG-881 and concomitant intravenous microdose of [13C3 15N3]AG-881.
Plasma samples collected at selected time points from 0 through 336 hour postdose were pooled across subjects to generate 0—to 72 and 96-336-hour area under the concentration-time curve (AUC)-representative samples. Urine and feces samples were pooled by subject to generate individual urine and fecal pools. Plasma, urine, and feces samples were extracted, as appropriate, the extracts were profiled using high performance liquid chromatography (HPLC), and metabolites were identified by liquid chromatography-mass spectrometry (LC-MS and/or LC-MS/MS) analysis and by comparison of retention time with reference standards, when available.
Due to low radioactivity in samples, plasma metabolite profiling was performed by using accelerator mass spectrometry (AMS). In plasma, AG-881 was accounted for 66.24 and 29.47% of the total radioactivity in the pooled AUC0-72 h and AUC96-336 h plasma, respectively. The most abundant radioactive peak (P7; M458) represented 0.10 and 43.92% of total radioactivity for pooled AUC0-72 and AUC96-336 h plasma, respectively. All other radioactive peaks accounted for less than 6% of the total plasma radioactivity and were not identified.
The majority of the radioactivity recovered in feces was associated with unchanged AG-881 (55.5% of the dose), while no AG-881 was detected in urine. In comparison, metabolites in excreta accounted for approximately 18% of dose in feces and for approximately 4% of dose in urine. M515, M460-1, M499, M516/M460-2, and M472/M476 were the most abundant metabolites in feces, and each accounted for approximately 2 to 5% of the radioactive dose, while M266 was the most abundant metabolite identified in urine and accounted for a mean of 2.54% of the dose. The remaining radioactive components in urine and feces each accounted for <1% of the dose.
Overall, the data presented indicate [14C]AG-881 underwent moderate metabolism after a single oral dose of 50-mg (100 μCi) and was eliminated in humans via a combination of metabolism and excretion of unchanged parent. AG-881 metabolism involved the oxidation and conjugation with glutathione (GSH) by displacement of the chlorine at the chloropyridine moiety. Subsequent biotransformation of GSH intermediates resulted in elimination of both glutamic acid and glycine to form the cysteinyl conjugates (M515 and M499). The cysteinyl conjugates were further converted by a series of biotransformation reactions such as oxidation, S-dealkylation, S-methylation, S-oxidation, S-acetylation and N-dealkylation resulting in the formation multiple metabolites.
A summary of the metabolites observed is included in Table 2
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Acetylation
AG 30
Biotransformation
Chlorine
Dealkylation
Deamination
Elements, Radioactive
Feces
Glutamic Acid
Glutathione
Glycine
Healthy Volunteers
High-Performance Liquid Chromatographies
Homo sapiens
Hydrolysis
Intravenous Infusion
Ions
Liquid Chromatography
Mass Spectrometry
Metabolism
Methylation
Parent
Plasma
Radioactivity
Retention (Psychology)
Tandem Mass Spectrometry
Urinalysis
Urine
vorasidenib
Example 2
A. Seed Treatment with Isolated Microbe
In this example, an isolated microbe from Tables 1-3 will be applied as a seed coating to seeds of corn (Zea mays). Upon applying the isolated microbe as a seed coating, the corn will be planted and cultivated in the standard manner.
A control plot of corn seeds, which did not have the isolated microbe applied as a seed coating, will also be planted.
It is expected that the corn plants grown from the seeds treated with the seed coating will exhibit a quantifiably higher biomass than the control corn plants.
The biomass from the treated plants may be about 1-10% higher, 10-20% higher, 20-30% higher, 30-40% higher, 40-50% higher, 50-60% higher, 60-70% higher, 70-80% higher, 80-90% higher, or more.
The biomass from the treated plants may equate to about a 1 bushel per acre increase over the controls, or a 2 bushel per acre increase, or a 3 bushel per acre increase, or a 4 bushel per acre increase, or a 5 bushel per acre increase, or more.
In some aspects, the biomass increase is statistically significant. In other aspects, the biomass increase is not statistically significant, but is still quantifiable.
B. Seed Treatment with Microbial Consortia
In this example, a microbial consortium, comprising at least two microbes from Tables 1-3 will be applied as a seed coating to seeds of corn (Zea mays). Upon applying the microbial consortium as a seed coating, the corn will be planted and cultivated in the standard manner.
A control plot of corn seeds, which did not have the microbial consortium applied as a seed coating, will also be planted.
It is expected that the corn plants grown from the seeds treated with the seed coating will exhibit a quantifiably higher biomass than the control corn plants.
The biomass from the treated plants may be about 1-10% higher, 10-20% higher, 20-30% higher, 30-40% higher, 40-50% higher, 50-60% higher, 60-70% higher, 70-80% higher, 80-90% higher, or more.
The biomass from the treated plants may equate to about a 1 bushel per acre increase over the controls, or a 2 bushel per acre increase, or a 3 bushel per acre increase, or a 4 bushel per acre increase, or a 5 bushel per acre increase, or more.
In some aspects, the biomass increase is statistically significant. In other aspects, the biomass increase is not statistically significant, but is still quantifiable.
C. Treatment with Agricultural Composition Comprising Isolated Microbe
In this example, an isolated microbe from Tables 1-3 will be applied as an agricultural composition, administered to the corn seed at the time of sowing.
For example, it is anticipated that a farmer will apply the agricultural composition to the corn seeds simultaneously upon planting the seeds into the field. This can be accomplished, for example, by applying the agricultural composition to a hopper/bulk tank on a standard 16 row planter, which contains the corn seeds and which is configured to plant the same into rows. Alternatively, the agricultural composition can be contained in a separate bulk tank on the planter and sprayed into the rows upon planting the corn seed.
A control plot of corn seeds, which are not administered the agricultural composition, will also be planted.
It is expected that the corn plants grown from the seeds treated with the agricultural composition will exhibit a quantifiably higher biomass than the control corn plants.
The biomass from the treated plants may be about 1-10% higher, 10-20% higher, 20-30% higher, 30-40% higher, 40-50% higher, 50-60% higher, 60-70% higher, 70-80% higher, 80-90% higher, or more.
The biomass from the treated plants may equate to about a 1 bushel per acre increase over the controls, or a 2 bushel per acre increase, or a 3 bushel per acre increase, or a 4 bushel per acre increase, or a 5 bushel per acre increase, or more.
In some aspects, the biomass increase is statistically significant. In other aspects, the biomass increase is not statistically significant, but is still quantifiable.
D. Treatment with Agricultural Composition Comprising Microbial Consortia
In this example, a microbial consortium, comprising at least two microbes from Tables 1-3 will be applied as an agricultural composition, administered to the corn seed at the time of sowing.
For example, it is anticipated that a farmer will apply the agricultural composition to the corn seeds simultaneously upon planting the seeds into the field. This can be accomplished, for example, by applying the agricultural composition to a hopper/bulk tank on a standard 16 row planter, which contains the corn seeds and which is configured to plant the same into rows. Alternatively, the agricultural composition can be contained in a separate bulk tank on the planter and sprayed into the rows upon planting the corn seed.
A control plot of corn seeds, which are not administered the agricultural composition, will also be planted.
It is expected that the corn plants grown from the seeds treated with the agricultural composition will exhibit a quantifiably higher biomass than the control corn plants.
The biomass from the treated plants may be about 1-10% higher, 10-20% higher, 20-30% higher, 30-40% higher, 40-50% higher, 50-60% higher, 60-70% higher, 70-80% higher, 80-90% higher, or more.
The biomass from the treated plants may equate to about a 1 bushel per acre increase over the controls, or a 2 bushel per acre increase, or a 3 bushel per acre increase, or a 4 bushel per acre increase, or a 5 bushel per acre increase, or more.
In some aspects, the biomass increase is statistically significant. In other aspects, the biomass increase is not statistically significant, but is still quantifiable.
A. Seed Treatment with Isolated Microbe
In this example, an isolated microbe from Tables 1-3 will be applied as a seed coating to seeds of corn (Zea mays). Upon applying the isolated microbe as a seed coating, the corn will be planted and cultivated in the standard manner.
A control plot of corn seeds, which did not have the isolated microbe applied as a seed coating, will also be planted.
It is expected that the corn plants grown from the seeds treated with the seed coating will exhibit a quantifiable and superior ability to tolerate drought conditions and/or exhibit superior water use efficiency, as compared to the control corn plants.
The drought tolerance and/or water use efficiency can be based on any number of standard tests from the art, e.g leaf water retention, turgor loss point, rate of photosynthesis, leaf color and other phenotypic indications of drought stress, yield performance, and various root morphological and growth patterns.
B. Seed Treatment with Microbial Consortia
In this example, a microbial consortium, comprising at least two microbes from Tables 1-3 will be applied as a seed coating to seeds of corn (Zea mays). Upon applying the microbial consortium as a seed coating, the corn will be planted and cultivated in the standard manner.
A control plot of corn seeds, which did not have the microbial consortium applied as a seed coating, will also be planted.
It is expected that the corn plants grown from the seeds treated with the seed coating will exhibit a quantifiable and superior ability to tolerate drought conditions and/or exhibit superior water use efficiency, as compared to the control corn plants.
The drought tolerance and/or water use efficiency can be based on any number of standard tests from the art, e.g leaf water retention, turgor loss point, rate of photosynthesis, leaf color and other phenotypic indications of drought stress, yield performance, and various root morphological and growth patterns.
C. Treatment with Agricultural Composition Comprising Isolated Microbe
In this example, an isolated microbe from Tables 1-3 will be applied as an agricultural composition, administered to the corn seed at the time of sowing.
For example, it is anticipated that a farmer will apply the agricultural composition to the corn seeds simultaneously upon planting the seeds into the field. This can be accomplished, for example, by applying the agricultural composition to a hopper/bulk tank on a standard 16 row planter, which contains the corn seeds and which is configured to plant the same into rows. Alternatively, the agricultural composition can be contained in a separate bulk tank on the planter and sprayed into the rows upon planting the corn seed.
A control plot of corn seeds, which are not administered the agricultural composition, will also be planted.
It is expected that the corn plants grown from the seeds treated with the with the agricultural composition will exhibit a quantifiable and superior ability to tolerate drought conditions and/or exhibit superior water use efficiency, as compared to the control corn plants.
The drought tolerance and/or water use efficiency can be based on any number of standard tests from the art, e.g leaf water retention, turgor loss point, rate of photosynthesis, leaf color and other phenotypic indications of drought stress, yield performance, and various root morphological and growth patterns.
D. Treatment with Agricultural Composition Comprising Microbial Consortia
In this example, a microbial consortium, comprising at least two microbes from Tables 1-3 will be applied as an agricultural composition, administered to the corn seed at the time of sowing.
For example, it is anticipated that a farmer will apply the agricultural composition to the corn seeds simultaneously upon planting the seeds into the field. This can be accomplished, for example, by applying the agricultural composition to a hopper/bulk tank on a standard 16 row planter, which contains the corn seeds and which is configured to plant the same into rows. Alternatively, the agricultural composition can be contained in a separate bulk tank on the planter and sprayed into the rows upon planting the corn seed.
A control plot of corn seeds, which are not administered the agricultural composition, will also be planted.
It is expected that the corn plants grown from the seeds treated with the with the agricultural composition will exhibit a quantifiable and superior ability to tolerate drought conditions and/or exhibit superior water use efficiency, as compared to the control corn plants.
The drought tolerance and/or water use efficiency can be based on any number of standard tests from the art, e.g leaf water retention, turgor loss point, rate of photosynthesis, leaf color and other phenotypic indications of drought stress, yield performance, and various root morphological and growth patterns.
A. Seed Treatment with Isolated Microbe
In this example, an isolated microbe from Tables 1-3 will be applied as a seed coating to seeds of corn (Zea mays). Upon applying the isolated microbe as a seed coating, the corn will be planted and cultivated in the standard manner.
A control plot of corn seeds, which did not have the isolated microbe applied as a seed coating, will also be planted.
It is expected that the corn plants grown from the seeds treated with the seed coating will exhibit a quantifiable and superior ability to utilize nitrogen, as compared to the control corn plants.
The nitrogen use efficiency can be quantified by recording a measurable change in any of the main nitrogen metabolic pool sizes in the assimilation pathways (e.g., a measurable change in one or more of the following: nitrate, nitrite, ammonia, glutamic acid, aspartic acid, glutamine, asparagine, lysine, leucine, threonine, methionine, glycine, tryptophan, tyrosine, total protein content of a plant part, total nitrogen content of a plant part, and/or chlorophyll content), or where the treated plant is shown to provide the same or elevated biomass or harvestable yield at lower nitrogen fertilization levels compared to the control plant, or where the treated plant is shown to provide elevated biomass or harvestable yields at the same nitrogen fertilization levels compared to a control plant.
B. Seed Treatment with Microbial Consortia
In this example, a microbial consortium, comprising at least two microbes from Tables 1-3 will be applied as a seed coating to seeds of corn (Zea mays). Upon applying the microbial consortium as a seed coating, the corn will be planted and cultivated in the standard manner.
A control plot of corn seeds, which did not have the microbial consortium applied as a seed coating, will also be planted.
It is expected that the corn plants grown from the seeds treated with the seed coating will exhibit a quantifiable and superior ability to utilize nitrogen, as compared to the control corn plants.
The nitrogen use efficiency can be quantified by recording a measurable change in any of the main nitrogen metabolic pool sizes in the assimilation pathways (e.g., a measurable change in one or more of the following: nitrate, nitrite, ammonia, glutamic acid, aspartic acid, glutamine, asparagine, lysine, leucine, threonine, methionine, glycine, tryptophan, tyrosine, total protein content of a plant part, total nitrogen content of a plant part, and/or chlorophyll content), or where the treated plant is shown to provide the same or elevated biomass or harvestable yield at lower nitrogen fertilization levels compared to the control plant, or where the treated plant is shown to provide elevated biomass or harvestable yields at the same nitrogen fertilization levels compared to a control plant.
C. Treatment with Agricultural Composition Comprising Isolated Microbe
In this example, an isolated microbe from Tables 1-3 will be applied as an agricultural composition, administered to the corn seed at the time of sowing.
For example, it is anticipated that a farmer will apply the agricultural composition to the corn seeds simultaneously upon planting the seeds into the field. This can be accomplished, for example, by applying the agricultural composition to a hopper/bulk tank on a standard 16 row planter, which contains the corn seeds and which is configured to plant the same into rows. Alternatively, the agricultural composition can be contained in a separate bulk tank on the planter and sprayed into the rows upon planting the corn seed.
A control plot of corn seeds, which are not administered the agricultural composition, will also be planted.
It is expected that the corn plants grown from the seeds treated with the agricultural composition will exhibit a quantifiable and superior ability to utilize nitrogen, as compared to the control corn plants.
The nitrogen use efficiency can be quantified by recording a measurable change in any of the main nitrogen metabolic pool sizes in the assimilation pathways (e.g., a measurable change in one or more of the following: nitrate, nitrite, ammonia, glutamic acid, aspartic acid, glutamine, asparagine, lysine, leucine, threonine, methionine, glycine, tryptophan, tyrosine, total protein content of a plant part, total nitrogen content of a plant part, and/or chlorophyll content), or where the treated plant is shown to provide the same or elevated biomass or harvestable yield at lower nitrogen fertilization levels compared to the control plant, or where the treated plant is shown to provide elevated biomass or harvestable yields at the same nitrogen fertilization levels compared to a control plant.
D. Treatment with Agricultural Composition Comprising Microbial Consortia
In this example, a microbial consortium, comprising at least two microbes from Tables 1-3 will be applied as an agricultural composition, administered to the corn seed at the time of sowing.
For example, it is anticipated that a farmer will apply the agricultural composition to the corn seeds simultaneously upon planting the seeds into the field. This can be accomplished, for example, by applying the agricultural composition to a hopper/bulk tank on a standard 16 row planter, which contains the corn seeds and which is configured to plant the same into rows. Alternatively, the agricultural composition can be contained in a separate bulk tank on the planter and sprayed into the rows upon planting the corn seed.
A control plot of corn seeds, which are not administered the agricultural composition, will also be planted.
It is expected that the corn plants grown from the seeds treated with the agricultural composition will exhibit a quantifiable and superior ability to utilize nitrogen, as compared to the control corn plants.
The nitrogen use efficiency can be quantified by recording a measurable change in any of the main nitrogen metabolic pool sizes in the assimilation pathways (e.g., a measurable change in one or more of the following: nitrate, nitrite, ammonia, glutamic acid, aspartic acid, glutamine, asparagine, lysine, leucine, threonine, methionine, glycine, tryptophan, tyrosine, total protein content of a plant part, total nitrogen content of a plant part, and/or chlorophyll content), or where the treated plant is shown to provide the same or elevated biomass or harvestable yield at lower nitrogen fertilization levels compared to the control plant, or where the treated plant is shown to provide elevated biomass or harvestable yields at the same nitrogen fertilization levels compared to a control plant.
The inoculants were prepared from isolates grown as spread plates on R2A incubated at 25° C. for 48 to 72 hours. Colonies were harvested by blending with sterile distilled water (SDW) which was then transferred into sterile containers. Serial dilutions of the harvested cells were plated and incubated at 25° C. for 24 hours to estimate the number of colony forming units (CFU) in each suspension. Dilutions were prepared using individual isolates or blends of isolates (consortia) to deliver 1×105 cfu/microbe/seed and seeds inoculated by either imbibition in the liquid suspension or by overtreatment with 5% vegetable gum and oil.
Seeds corresponding to the plants of table 15 were planted within 24 to 48 hours of treatment in agricultural soil, potting media or inert growing media. Plants were grown in small pots (28 mL to 200 mL) in either a controlled environment or in a greenhouse. Chamber photoperiod was set to 16 hours for all experiments on all species. Air temperature was typically maintained between 22-24° C.
Unless otherwise stated, all plants were watered with tap water 2 to 3 times weekly. Growth conditions were varied according to the trait of interest and included manipulation of applied fertilizer, watering regime and salt stress as follows:
-
- Low N—seeds planted in soil potting media or inert growing media with no applied N fertilizer
- Moderate N—seeds planted in soil or growing media supplemented with commercial N fertilizer to equivalent of 135 kg/ha applied N
- Insol P—seeds planted in potting media or inert growth substrate and watered with quarter strength Pikovskaya's liquid medium containing tri-calcium phosphate as the only form phosphate fertilizer.
- Cold Stress—seeds planted in soil, potting media or inert growing media and incubated at 10° C. for one week before being transferred to the plant growth room.
- Salt stress—seeds planted in soil, potting media or inert growing media and watered with a solution containing between 100 to 200 mg/L NaCl.
Untreated (no applied microbe) controls were prepared for each experiment. Plants were randomized on trays throughout the growth environment. Between 10 and 30 replicate plants were prepared for each treatment in each experiment. Phenotypes were measured during early vegetative growth, typically before the V3 developmental stage and between 3 and 6 weeks after sowing. Foliage was cut and weighed. Roots were washed, blotted dry and weighed. Results indicate performance of treatments against the untreated control.
The data presented in table 15 describes the efficacy with which a microbial species or strain can change a phenotype of interest relative to a control run in the same experiment. Phenotypes measured were shoot fresh weight and root fresh weight for plants growing either in the absence of presence of a stress (assay). For each microbe species, an overall efficacy score indicates the percentage of times a strain of that species increased a both shoot and root fresh weight in independent evaluations. For each species, the specifics of each independent assay is given, providing a strain ID (strain) and the crop species the assay was performed on (crop). For each independent assay the percentage increase in shoot and root fresh weight over the controls is given.
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Ammonia
Asparagine
Aspartic Acid
Biological Assay
Bosea thiooxidans
Calcium Phosphates
Capsicum
Cells
Chlorophyll
Cold Shock Stress
Cold Temperature
Crop, Avian
Dietary Fiber
DNA Replication
Droughts
Drought Tolerance
Embryophyta
Environment, Controlled
Farmers
Fertilization
Glutamic Acid
Glutamine
Glycine
Growth Disorders
Herbaspirillum
Herbaspirillum huttiense
Leucine
Lolium
Lycopersicon esculentum
Lysine
Maize
Massilia niastensis
Methionine
Microbial Consortia
Nitrates
Nitrites
Nitrogen
Novosphingobium rosa
Paenibacillus
Paenibacillus amylolyticus
Pantoea agglomerans
Pantoea vagans
Phenotype
Phosphates
Photosynthesis
Plant Development
Plant Embryos
Plant Leaves
Plant Proteins
Plant Roots
Plants
Polaromonas ginsengisoli
Pseudoduganella violaceinigra
Pseudomonas
Pseudomonas fluorescens
Rahnella
Rahnella aquatilis
Retention (Psychology)
Rhodococcus erythropolis
Rosa
Salt Stress
Sodium Chloride
Sodium Chloride, Dietary
Stenotrophomonas chelatiphaga
Stenotrophomonas maltophilia
Stenotrophomonas rhizophila
Stenotrophomonas terrae
Sterility, Reproductive
Strains
Technique, Dilution
Threonine
Triticum aestivum
Tryptophan
Tyrosine
Vegetables
Zea mays
Example 49
(7,8-Dichloro-4-(1H-pyrazol-4-yl)quinolin-2-yl)glycine was prepared essentially by the same method described above to prepare I-287.
The following compounds are prepared essentially by the same method described above to prepare I-177.
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Anabolism
Glycine
pyrazole
Example 80
Step 1: tert-Butyl 4-(2-(3-((2-(tert-butoxy)-2-oxoethyl)amino)propyl)-7,8-dichloroquinolin-4-yl)-1H-pyrazole-1-carboxylate. To a solution of tert-butyl 4-(7,8-dichloro-2-(3-oxopropyl)quinolin-4-yl)-1H-pyrazole-1-carboxylate (100 mg) and tert-butyl glycinate (62 mg) in DCM (0.5 mL) and EtOH (2.5 mL) were added NaBH3CN(100 mg) and acetic acid (1 drop). After stirring overnight, quenching with water, extraction with DCM, and concentration under reduced pressure, the residue was purified by a preparative thin layer chromatography (eluting with 15% MeOH in DCM) to afford the title compound (58 mg). MS: [M+1]+ 479.
Step 2: (3-(7,8-Dichloro-4-(1H-pyrazol-4-yl)quinolin-2-yl)propyl)glycine. To a solution of tert-butyl 4-(2-(3-((2-(tert-butoxy)-2-oxoethyl)amino)propyl)-7,8-dichloroquinolin-4-yl)-1H-pyrazole-1-carboxylate (15 mg) in DCM (3 mL) was added TFA (0.5 mL). The resultant solution was stirred over 6 hours at room temperature. After evaporation under reduced pressure, the residue was purified by preparative HPLC to afford the title compound (6.4 mg) (MS: [M+1]+ 379.1). 1H NMR (400 MHz, CD3OD): δ 8.179-8.202 (d, J=9.2 Hz, 1H), 8.140 (s, 1H), 7.690-7.713 (d, J=9.2 Hz, 1H), 7.596 (s, 1H), 4.019 (S, 2H), 3.324-3.365 (m, 4H), 2.338-2.391 (m, 2H) ppm
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1H NMR
Acetic Acid
Anabolism
Ethanol
Glycine
High-Performance Liquid Chromatographies
Pressure
pyrazole
tert-butoxy
tert-butyl glycinate
TERT protein, human
Thin Layer Chromatography
Example 7
The interaction of the chimeric anti-FOLR1 mAbs and FOLR1 was measured by Surface Plasmon Resonance (SPR) (Biacore 8k, GE Healthcare). Briefly, an anti-FOLR1 mAb was immobilized to a protein A sensor chip (GE Healthcare, Cat #: 29-1275-56) in HBS-P buffer (0.01 M HEPES pH 7.4, 0.15 M NaCl, 0.05% v/v Surfactant P20) with an injection flow rate at 10 μL/ml. The recombinant FOLR1 (Novoprotein, Cat #: C784) at variant concentrations was loaded with the flow rate of 30 μL/min in HBS-P buffer. Following antigen loading, the surface was regenerated with 10 mM glycine-HCl (pH 1.5). Sensor grams were fit with a 1:1 binding model using Biacore 8k evaluation software (GE Healthcare). The results of the binding affinity for the anti-FOLR1 mAbs are shown in Table 7.
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Antigens
Biological Assay
Buffers
Chimera
DNA Chips
FOLR1 protein, human
Glycine
HEPES
Sodium Chloride
Staphylococcal Protein A
Surface-Active Agents
Surface Plasmon Resonance
Top products related to «Glycine»
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Glycine is a colorless, crystalline amino acid that is used as a raw material in the production of various pharmaceutical and chemical products. It serves as a key component in buffer solutions and is commonly employed in the preparation of cell culture media and various biological assays.
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Tris-Glycine gels are a type of polyacrylamide gel used for electrophoresis, a technique for separating and analyzing proteins. These gels consist of a Tris-Glycine buffer system and are commonly used in SDS-PAGE (Sodium Dodecyl Sulfate-Polyacrylamide Gel Electrophoresis) applications.
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PVDF membranes are a type of laboratory equipment used for a variety of applications. They are made from polyvinylidene fluoride (PVDF), a durable and chemically resistant material. PVDF membranes are known for their high mechanical strength, thermal stability, and resistance to a wide range of chemicals. They are commonly used in various filtration, separation, and analysis processes in scientific and research settings.
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Bovine serum albumin (BSA) is a common laboratory reagent derived from bovine blood plasma. It is a protein that serves as a stabilizer and blocking agent in various biochemical and immunological applications. BSA is widely used to maintain the activity and solubility of enzymes, proteins, and other biomolecules in experimental settings.
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Protease inhibitor cocktail is a laboratory reagent used to inhibit the activity of proteases, which are enzymes that break down proteins. It is commonly used in protein extraction and purification procedures to prevent protein degradation.
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The Protease Inhibitor Cocktail is a laboratory product designed to inhibit the activity of proteases, which are enzymes that can degrade proteins. It is a combination of various chemical compounds that work to prevent the breakdown of proteins in biological samples, allowing for more accurate analysis and preservation of protein integrity.
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Nitrocellulose membranes are a type of laboratory equipment designed for use in protein detection and analysis techniques. These membranes serve as a support matrix for the immobilization of proteins, enabling various downstream applications such as Western blotting, dot blotting, and immunodetection.
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The Bioruptor is a laboratory instrument designed for the efficient disruption and homogenization of biological samples. It uses high-intensity ultrasound waves to shear and fragment a wide range of sample types, including cells, tissues, and macromolecules, without the use of bead beating or other mechanical disruption methods. The Bioruptor is a versatile tool for a variety of applications, including DNA/RNA extraction, protein extraction, and chromatin shearing.
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Triton X-100 is a non-ionic surfactant commonly used in various laboratory applications. It functions as a detergent and solubilizing agent, facilitating the solubilization and extraction of proteins and other biomolecules from biological samples.
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Formaldehyde is a chemical compound with the formula CH2O. It is a colorless, flammable gas with a pungent odor. Formaldehyde is used as a chemical building block in the production of various products, including resins, adhesives, and disinfectants.
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