The largest database of trusted experimental protocols

Span 20

Span 20 is a non-ionic surfactant commonly used in a variety of biological and pharmaceutical applications.
It is known for its ability to solubilize and stabilize compounds, making it a valuable tool in research and development.
Span 20 can be utilized to optimize drug delivery, enhance protein purification, and improve the reproducibility of experimental protocols.
Researchers can leverage advanced AI-driven comparisons to identify the best Span 20 protocols and products from literature, preprints, and patents, simplifying the optimization process and enhancing research accuracy.
This powerful tool can help streamline Span 20 optimization, contributing to more reliable and reproducible results in a wide range of scientific endeavors.

Most cited protocols related to «Span 20»

A homozygous doubled haploid line TO1000DH3 derived from B. oleracea cultivar TO1434 was chosen for sequencing. High quality nuclear DNA was extracted from young leaves using a megabase-sized DNA isolation protocol as described in [34 ]. Briefly, approximately 40 g of fresh leaf tissue was homogenized in 200 ml buffer (HB; 0.01 M Trizma base, 0.08 M KCL, 0.01 M EDTA, 1 mM spermidine, 1 mM spermine, 0.5 M sucrose plus 0.15% β-mercaptoethanol, pH 9.4 to 9.5). The homogenate was filtered and the nuclei pelleted by centrifugation (1,800 g at 4°C for 20 minutes). The pellet was resuspensed (1 × HB plus 0.5% Triton-×100) and centrifuged three times. Finally, the nuclei were resuspended in 10 ml lysis buffer (100 mM TrisCl, 100 mM NaCl, 50 mM EDTA, 2% SDS). High molecular weight genomic DNA was extracted by traditional proteinase K (0.05 mg/ml; 65°C for 2 h) digestion followed by RNAase A treatment, two cycles of phenol/chloroform extraction and ethanol precipitation. Quantification of genomic DNA was performed using PicoGreen dsDNA kit (Molecular Probes, Life Technologies Inc., Burlington, ON, Canada). Genomic DNA (5 to 40 μg) was randomly sheared using one of: Covaris S2 ultrasonicator (Covaris Inc., Woburn, MA, US); Hydroshear (Genomic Solutions Inc., Ann Arbor, MI, US); or gas-driven nebulizers. For Illumina sequencing, four paired-end (PE) libraries (with median insert sizes of 273, 335, 418 and 532 bp; Table S1 in Additional file 2) and five short-span mate-paired (MP) libraries (from 2.5 to 8.5 kb) were constructed following the manufacturer’s instructions (TruSeq DNA sample preparation and MP library preparation kit v2 (Illumina, San Diego, CA, US), respectively). Libraries were size selected using the Pippin prep automated gel electrophoresis system (Sage Science, Beverly, MA, US), quantified using a BioAnalyzer (Agilent Technologies, Mississauga, ON, Canada) and KAPA library quantification kit for Illumina (KAPA Biosystems, Wilmington, MA, US), and sequenced from both ends (paired-end) for 100 cycles on an Illumina HiSeq 2000 instrument. For 454 pyrosequencing, two medium span MP libraries with median insert sizes of 8 and 17 kb (Table S1 in Additional file 2) were constructed following the method described in the GS FLX Titanium 20 kb span PE library preparation manual from Roche and sequenced using a Roche 454 FLX Titanium sequencer (454 Life Sciences, Branford, CT, US).
Full text: Click here
Publication 2014
2-Mercaptoethanol Buffers Cell Nucleus Centrifugation Chloroform DNA, Double-Stranded DNA Library Edetic Acid Electrophoresis Endopeptidase K Ethanol G-800 gastricsin Genome Homozygote isolation Molecular Probes Nebulizers Phenol PicoGreen Plant Leaves Ribonuclease, Pancreatic Sodium Chloride Span 20 Spermidine Spermine Sucrose Tissues Titanium Trizma

Protocol full text hidden due to copyright restrictions

Open the protocol to access the free full text link

Publication 2011
Fracture, Bone Span 20
Using Tagger (www.broad.mit.edu/mpg/tagger), we chose tag SNPs to cover the common variation (minor allele frequency [MAF] >0.05) in a genomic segment spanning from 20 kb upstream to 10 kb downstream of ADIPOQ. Arbitrary limits of the flanking regions were chosen based on current knowledge of the size of typical linkage disequilibrium regions and distances from the gene of previously reported variants influencing gene expression around coding sequences. Nineteen tags were initially chosen to capture all common variants in the CEU population from Phase 2 HapMap, accessed January 2006 (www.hapmap.org) at an r2 ≥ 0.8 using a pairwise tagging approach. While genotyping was being completed, a new release of HapMap became available. Reiteration of the tagging procedure with the same settings on the newer dataset yielded a previously ungenotyped tag SNP (rs864265), whereas rs13085499 from the original tag set was not needed to capture all variation found in HapMap v21; the remaining tag SNPs did not change. We included rs13085499 in our analysis for thoroughness as well as two additional SNPs, rs2241766 (+45T/G) and rs1501299 (+276G/T), that had been previously genotyped in the FOS.
Publication 2008
Exons Gene Expression Genetic Diversity Genome HapMap Single Nucleotide Polymorphism Span 20
Genomic DNA was extracted from the cells using the DNA Blood Mini Kit (Qiagen). In the context of CAST, library preparation was performed with a Beckman Biomek FX automated liquid handling system, with 500 ng starting material using SPRIworks HT chemistry (Beckman Coulter). For low-coverage sequencing, samples were prepared with custom 6 base pair barcodes to enable pooling. Library quantification and quality control were performed using a Fragment Analyzer (Advanced Analytics Technologies, Ames, USA). WGS was pursued on an Illumina HiSeq 2500 platform (Illumina, San Diego, USA), using 50 base pair single reads for low-pass sequencing.
Mate-pair DNA library preparation was performed using the Nextera Mate Pair Sample Preparation Kit (Illumina). In brief, 4 μg of high molecular weight genomic DNA was fragmented by the tagmentation reaction in 400 μl, followed by strand displacement. Samples were size-selected to 4–5 kb following the Gel-Plus path of the protocol. A total of 300–550 ng of size-selected DNA was circularized in 300 μl for 16 h at 30°C. After an exonuclease digestion step to get rid of remaining linear DNA, fragmentation to 300–700 bp with a Covaris S2 instrument (LGC Genomics), and binding to streptavidin beads, the libraries were completed via End Repair, A-Tailing, and Illumina Truseq adapter ligation. The final sequencing library was obtained after PCR for 1 min at 98°C, followed by nine cycles of 30 s at 98°C, 30 s at 60°C, 1 min at 72°C, and a final elongation step of 5 min at 72°C. Sequencing was carried out with Illumina HiSeq2000 (2 × 101 bp reads), MiSeq (2 × 75 bp reads), or NextSeq (2 × 150 bp reads) instrument using v3 or v4 chemistry to reach an average spanning coverage of 20–30× for the mate-pair libraries and an average sequencing coverage of 20–30× for deep WGS libraries. After sequencing, the reads were aligned to the hg19 build of the human reference genome using the Illumina-provided alignment software ELAND (version 2) for all RPE-1-derived sequencing data, and using BWA for the cancer genomic data.
Full text: Click here
Publication 2015
Base Pairing BLOOD CD3EAP protein, human Digestion DNA, A-Form DNA Library Exonuclease Genome Genome, Human Ligation Malignant Neoplasms Mineralocorticoid Excess Syndrome, Apparent Span 20 Streptavidin
Sri Lanka, a multi-ethnic developing country with a mid-year population of 20 million estimated in 2005 and some of the best health and educational indicators in the South Asian region [26] (link), has seen many instances of internal displacement, but these have been characteristically unpredictable and fluid, the main precipitants being the three decades of conflict and the 2004 Tsunami [27] .
The COMRAID cross-sectional survey was carried out in the first half of 2011 in the Kalpitiya division of Puttalam district, North-western province of Sri Lanka. Puttalam district, which has long had a majority Muslim population [28] , [29] , has been an accessible safe haven for a large number of IDPs due to its geographical closeness to conflict areas. The Kalpitiya division (a small peninsular landmass separated from the mainland by a lagoon) was selected for sampling as it had the largest concentration of IDPs within a relatively small geographic area. It is estimated that around 75,000 Muslims (a distinct minority ethnic group in Sri Lanka, whose religion is Islam, and language mainly Tamil) were displaced over a period of few days in 1990 from the northern regions. The majority (72%) were displaced from Mannar district of the Northern Province [28] . According to official sources, Puttalam district received around 15,000 of these internally displaced families (63,000 individuals), mainly arriving via the sea route, who were initially resettled in temporary shelters in the peninsula in 141 locations (mainly welfare centres) [30] , [31] . Figure 1 illustrates the displacement routes and resettlement areas of the northern Muslim IDPs.
Over a time span of 20 years in forced displacement, as the population numbers grew, a proportion of IDPs bought local land, establishing communities based on their pre-displacement communal orientations while others have lived in government welfare centres for the whole duration of displacement. Living circumstances and economic standards are similar across these different types of settlements, and some of the privately established communities in fact function as welfare centres. The 141 welfare camps in existence at the time of the survey were mostly situated in government land and had basic facilities, consisting of permanent, semi-permanent and temporary housing for IDP families numbering from less than hundred families to several hundred. Camps were overseen by a ‘camp officer’ (the village level administrative official) appointed by the government while civil society organizations such as mosque councils were also responsible for handling various communal affairs. The flight of northern Muslims has been well documented in sociological and anthropological studies [32] –[34] ; however, no study to date has investigated the mental health status of these IDPs, considered to be at high risk for developing psychopathology due to the nature of their displacement experience.
Full text: Click here
Publication 2013
Ethnicity Ethnic Minorities Mental Orientation Minority Groups South Asian People Span 20 Tsunamis Vaginal Diaphragm Vision

Most recents protocols related to «Span 20»

Protocol full text hidden due to copyright restrictions

Open the protocol to access the free full text link

Publication 2023
Biological Assay Femur Femur Heads Freezing Neck, Femur Span 20
While countries have the option of introducing TCVs into the routine immunization program, to date no vaccine stockpile exists for TCV introduction in the event of an outbreak.
To address this uncertainty, we account for varying delays in reactive vaccine deployment. For our primary analysis, we assumed an “idealized” scenario in which vaccination is introduced within 1 month of identifying the outbreak. In scenario analyses, we explored deployment delays of 6, 12, and 24 months after the epidemic threshold was exceeded.
The optimal strategy may also depend on how long until the outbreak occurs. We examined scenarios in which TCV introduction occurs exactly 10 years or 1 year before the epidemic threshold is crossed. For this comparison, we assessed the burden of typhoid fever and costs of treatment and vaccination for the preventative and reactive vaccination scenarios over a 20-year time horizon spanning from 2000 to 2020. For all other analyses, we used the same 10-year time horizon to match previous cost-effective analyses.
A previous cost-effectiveness analysis of TCVs used WHO-CHOICE data for cost-of-illness estimates [23 (link), 46 (link)]. Since the Malawi-specific cost-of-illness estimates used in this analysis were higher, we additionally evaluated the cost-effectiveness of the idealized scenario using the previous WHO-CHOICE cost-of-illness estimates.
The stochastic transmission model and economic model were implemented in R version 3.4.0 [47 ]. The transmission model code is available on GitHub at https://github.com/mailephillips/typhoid_outbreak_Malawi.
Full text: Click here
Publication 2023
Epidemics Immunization Programs Span 20 TCVS Transmission, Communicable Disease Typhoid Fever Vaccination Vaccines Vaccines, Typhoid
For every subject, power spectral density from 1 to 100 Hz was estimated for each of the 100 epochs of five seconds, for each electrode configuration. The following statistical analysis was done independently for each subject. To enable paired comparisons of the power spectra, the signals were grouped based on the quad electrode configuration. For example, small electrodes 1, 2, 9, and 10 were compared to two paired electrodes (1 shorted to 2, and 9 shorted to 10) and one quad electrode (1, 2, 9, and 10 shorted together) (see figure 3). For each set of four small electrodes, the power spectra were estimated by using the Fourier periodogram which is the data-analogue of the spectrum defined on the fundamental frequencies. Since periodograms are quite noisy, they need to be smoothed in order to obtain a mean-squared consistent estimator [34 (link)]. In some applications, it is more convenient to use log periodograms (rather than periodograms) because their variance is approximately constant across frequencies. Here, log periodograms were calculated and smoothed across frequencies using a moving average filter with a span of 5 data points (0.5 Hz). For each set of two pair electrodes, the two log periodograms were averaged and smoothed using a span of 10 data points (1 Hz). For the quad electrodes, the log periodograms were used without averaging and were smoothed using a span of 20 data points (2 Hz).
Thus, for each configuration, a set of 1600 log periodograms was obtained (16 signals × 100 epochs). To explore structures, patterns, and features in the sample of periodograms’ curves, we followed Ngo et al and constructed a functional box plot (FBP) [35 (link)], a generalization of the classical pointwise boxplot. For each curve, a modified band depth (MBD) value is computed [36 (link)]. This indicates whether or not a curve is covered by many pairs of curves in the data. Based on the ranks of MBD values, the FBP provides descriptive statistics, such as the functional median curve, which has the highest MBD value.
Full text: Click here
Publication 2023
EPOCH protocol Generalization, Psychological Neoplasm Metastasis Span 20
The composition of the proposed nanoemulsions (NEs) presented the usual concentrations of sunscreens in photoprotective preparations already described in the literature [8 (link),33 (link)]. Through the use of OMC and EHMC filters to obtain a wide photoprotective spectrum, the concentrations of BO and AV were modulated such that they do not exceed the maximum concentration of a single synthetic filter used, and mainly of the surfactants based on the principle of hydrophilic-lipophilic balance (HLB), which directly influences droplet size and, consequently, the stability and effectiveness of the photoprotective action of nanostructured systems. Two processing methods were evaluated for the preparation of NEs, both of which were high energy, using an ultrasonic processing equipment (US) and an Ultra-Turrax® high-speed homogenizer (Figure 6). The choice of this type of processing was due to the stability characteristics promoted by the high shear caused by these techniques, resulting in more uniform droplet size distributions when compared with those produced using low-energy methods.
The composition of the formulation developed for preparing the NE is shown in Table 1, with the combination of surfactants being varied to determine the most stable nanoemulsion system.
Synthetic OMC and EHMC chemical filters were used at concentrations of 10% and 3%, respectively, as they are the maximum amounts permitted by current legislation. The 10% BO and AV were added to replace other synthetic filters. The water-soluble surfactants, Tween® 80 and Span® 20, were used in the range of 8–20% to evaluate the stability of the proposed nanostructured system. The use of surfactants was based on the HLB calculation ratio. The 1% Aristoflex AVC® was added to the formulation as a consistency agent.
Full text: Click here
Publication 2023
Span 20 Surfactants Tween 80 Ultrasonics
In the aqueous phase, the HLB value of Tween® 80 is 15 and that of Span® 20 is 8.6. After evaluating different concentrations of these surfactants, the best proportion for their application in the preparation of NEs was chosen, which corresponded to a HLB value of 7.25 for the BO in the oil phase. The impact of the variation of the ultrasonic processing parameters in the chosen NEs was verified by varying the processing time (min) and amplitude (NE-A9 to NE-A15). The composition of the NEs and the ultrasound parameters used are presented in Table 3.
Full text: Click here
Publication 2023
Span 20 Surfactants Tween 80 Ultrasonics Ultrasonic Shockwave

Top products related to «Span 20»

Sourced in United States, Germany, Singapore, United Kingdom
Span 20 is a non-ionic surfactant commonly used in various laboratory applications. It is a viscous, colorless liquid with a mild odor. Span 20 is primarily used to emulsify, solubilize, and stabilize materials in aqueous and non-aqueous systems.
Sourced in United States, Germany, United Kingdom, India, Italy, France, Sao Tome and Principe, Spain, Poland, China, Belgium, Brazil, Switzerland, Canada, Australia, Macao, Ireland, Chile, Pakistan, Japan, Denmark, Malaysia, Indonesia, Israel, Saudi Arabia, Thailand, Bangladesh, Croatia, Mexico, Portugal, Austria, Puerto Rico, Czechia
Tween 80 is a non-ionic surfactant and emulsifier. It is a viscous, yellow liquid that is commonly used in laboratory settings to solubilize and stabilize various compounds and formulations.
Sourced in United States, Germany, United Kingdom, Italy, France, China, Spain, Australia, Japan, India, Poland, Sao Tome and Principe, Switzerland, Macao, Belgium, Canada, Denmark, Israel, Mexico, Netherlands, Singapore, Austria, Ireland, Sweden, Argentina, Romania
Tween 20 is a non-ionic detergent commonly used in biochemical applications. It is a polyoxyethylene sorbitan monolaurate, a surfactant that can be used to solubilize and stabilize proteins and other biomolecules. Tween 20 is widely used in various laboratory techniques, such as Western blotting, ELISA, and immunoprecipitation, to prevent non-specific binding and improve the efficiency of these assays.
Sourced in United States, Germany, United Kingdom, India, Poland, Italy, France, Brazil, Macao, Switzerland, China, Sao Tome and Principe
Span 80 is a non-ionic surfactant. It is a viscous, colorless liquid. Span 80 is commonly used as an emulsifier, wetting agent, and dispersing agent in various industrial applications.
Sourced in Germany, United States, United Kingdom, Italy, India, France, China, Australia, Spain, Canada, Switzerland, Japan, Brazil, Poland, Sao Tome and Principe, Singapore, Chile, Malaysia, Belgium, Macao, Mexico, Ireland, Sweden, Indonesia, Pakistan, Romania, Czechia, Denmark, Hungary, Egypt, Israel, Portugal, Taiwan, Province of China, Austria, Thailand
Ethanol is a clear, colorless liquid chemical compound commonly used in laboratory settings. It is a key component in various scientific applications, serving as a solvent, disinfectant, and fuel source. Ethanol has a molecular formula of C2H6O and a range of industrial and research uses.
Sourced in Germany, United States, Italy, India, United Kingdom, China, France, Poland, Spain, Switzerland, Australia, Canada, Sao Tome and Principe, Brazil, Ireland, Japan, Belgium, Portugal, Singapore, Macao, Malaysia, Czechia, Mexico, Indonesia, Chile, Denmark, Sweden, Bulgaria, Netherlands, Finland, Hungary, Austria, Israel, Norway, Egypt, Argentina, Greece, Kenya, Thailand, Pakistan
Methanol is a clear, colorless, and flammable liquid that is widely used in various industrial and laboratory applications. It serves as a solvent, fuel, and chemical intermediate. Methanol has a simple chemical formula of CH3OH and a boiling point of 64.7°C. It is a versatile compound that is widely used in the production of other chemicals, as well as in the fuel industry.
Sourced in France, India, China
Labrafil M 1944 CS is a non-ionic surfactant made by Gattefosse. It is a water-soluble, viscous, oily liquid.
Sourced in United States, Germany, United Kingdom, India, Italy, Spain, France, Canada, Switzerland, China, Australia, Brazil, Poland, Ireland, Sao Tome and Principe, Chile, Japan, Belgium, Portugal, Netherlands, Macao, Singapore, Sweden, Czechia, Cameroon, Austria, Pakistan, Indonesia, Israel, Malaysia, Norway, Mexico, Hungary, New Zealand, Argentina
Chloroform is a colorless, volatile liquid with a characteristic sweet odor. It is a commonly used solvent in a variety of laboratory applications, including extraction, purification, and sample preparation processes. Chloroform has a high density and is immiscible with water, making it a useful solvent for a range of organic compounds.
Sourced in United States, Germany, United Kingdom, India, Italy, Spain, Singapore, Macao, China, Canada, Japan, Brazil, Austria, Netherlands, Switzerland
Propylene glycol is a clear, colorless, and odorless liquid that is commonly used as a solvent and humectant in various industries. It has a wide range of applications, including in the manufacturing of pharmaceuticals, cosmetics, and food products. Propylene glycol exhibits low toxicity and is generally recognized as safe for certain applications.
Sourced in United States, Germany, China, Italy, Japan, France, India, Spain, Sao Tome and Principe, United Kingdom, Sweden, Poland, Australia, Austria, Singapore, Canada, Switzerland, Ireland, Brazil, Saudi Arabia
Oleic acid is a long-chain monounsaturated fatty acid commonly used in various laboratory applications. It is a colorless to light-yellow liquid with a characteristic odor. Oleic acid is widely utilized as a component in various laboratory reagents and formulations, often serving as a surfactant or emulsifier.

More about "Span 20"

Span 20, also known as Polysorbate 20, is a non-ionic surfactant widely used in various biological and pharmaceutical applications.
This versatile compound is renowned for its ability to solubilize and stabilize a wide range of compounds, making it a valuable tool in research and development.
Span 20 can be leveraged to optimize drug delivery, enhance protein purification, and improve the reproducibility of experimental protocols.
Researchers can harness the power of advanced AI-driven comparisons to identify the most effective Span 20 protocols and products from literature, preprints, and patents, streamlining the optimization process and enhancing research accuracy.
This powerful tool can help streamline Span 20 optimization, contributing to more reliable and reproducible results in a diverse array of scientific endeavors.
Researchers can also explore the use of other related non-ionic surfactants, such as Tween 80, Tween 20, and Span 80, as well as solvents like Ethanol, Methanol, Labrafil M 1944 CS, Chloroform, and Propylene glycol, to further enhance their experimental designs and unlock new insights.
By leveraging the insights gained from Span 20 and its peers, scientists can unlock new possibilities in fields ranging from drug development to protein purification, leading to more robust and impactful research outcomes.
Optimizing Span 20 protocols with the aid of AI-driven comparisons can be a game-changer, simplifying the optimization process and driving more reliable and reproducible results.