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Taraxacum

Taraxacum is a genus of flowering plants in the family Asteraceae, commonly known as dandelions.
These herbaceous perennials are widely distributed across temperate regions of the Northern Hemishpere and are recognized for their distinctive yellow flower heads and fluffy seed heads.
Taraxacum plants are known for their adaptability, prolifeic growth, and potential medicinal properties.
Reserachers leveraging PubCompare.ai can effortlessly locate protocols from literature, preprints, and patents to optimize reproducible studies on these versatile plants.

Most cited protocols related to «Taraxacum»

1
Comprehensive scRNA-seq and scIGR-seq Analysis
Cited 23 times
scRNA-seq data was aligned and quantified using the cellranger software (version 6.1.1, 10x Genomics Inc.). Cells from hashtagged samples were demultiplexed using Hashsolo (67 (link)). Cells with fewer than 1,000 UMI counts and 600 detected genes were excluded. Doublets were detected using Scrublet (68 (link)). Downstream analysis from data normalization to graph-based clustering were performed using Scanpy (version 1.6.0) (69 (link)), with details described in Supplementary Materials. Data integration was done using BBKNN (70 (link)) and scVI (71 (link)), and the results were compared using kBET (72 (link)).
scTCR-seq and scBCR-seq data were aligned and quantified using the cellranger-vdj software (version 2.1.1 and 4.0, respectively). For TCRγδ we implemented a customized pipeline (https://sc-dandelion.readthedocs.io/en/latest/notebooks/gamma_delta.html) due to cellranger being tuned towards alpha/beta TCR chains. scTCR-seq analysis including productive TCR chain pairing and clonotype detection was performed using the scirpy package (73 (link)).
Domínguez Conde C., Xu C., Jarvis L., Rainbow D., Wells S., Gomes T., Howlett S., Suchanek O., Polanski K., King H., Mamanova L., Huang N., Szabo P., Richardson L., Bolt L., Fasouli E., Mahbubani K., Prete M., Tuck L., Richoz N., Tuong Z., Campos L., Mousa H., Needham E., Pritchard S., Li T., Elmentaite R., Park J., Rahmani E., Chen D., Menon D., Bayraktar O., James L., Meyer K., Yosef N., Clatworthy M., Sims P., Farber D., Saeb-Parsy K., Jones J, & Teichmann S. (2022). Cross-tissue immune cell analysis reveals tissue-specific features in humans. Science (New York, N.Y.), 376(6594), eabl5197.
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Publication 2022
alpha-beta T-Cell Receptor Cells gamma-delta T-Cell Receptor Gamma Rays Genes Single-Cell RNA-Seq Taraxacum
2
Comprehensive Concrete Concept Norms for British English
Cited 6 times
A total of 866 concrete concepts were selected for online norm completion. In selecting the concepts to be normed, we aimed to replicate the McRae norms as much as possible, and so we included all concepts from that set that were applicable to a British English environment (n = 490/541). We omitted concepts that are unfamiliar to Britons (e.g., cougar, chickadee, caribou, tomahawk). We selected additional items from the Snodgrass and Vanderwart (1980 (link)) pictures, from various other unnormed concrete concepts that we have used in previous studies, from items with high concreteness ratings (>550) in the MRC psycholinguistic database (Wilson, 1988 (link)), and from the category norms developed by Van Overschelde, Rawson, and Dunlosky (2004 (link)). One of the shortfalls of norms is the presence of unique and highly distinctive features that are not truly unique in the real world. Therefore, wherever possible, we tried to decrease the possibility of creating spurious unique properties by ensuring that all concepts had at least one other related concept in the list. For example, in the original McRae norms, the concept dandelion is the only flower and, therefore, has many unique features, including is a flower. We added other flowers (e.g., buttercup, daisy, sunflower, pansy) to accompany dandelion. Similar to McRae et al. (2005 (link)), we tried to avoid ambiguous concepts. Where the concept label was an ambiguous word, we provided a disambiguating term in parenthesis [e.g. “seal (animal)” and “organ (musical instrument)”]. There are 638 completed concepts in the current set, with data collection ongoing. A list of the concepts and their categories is included in the Appendix. These 638 concepts, their features, and feature variants constitute version 1 of the CSLB norms, available online at www.csl.psychol.cam.ac.uk/propertynorms. As additional concepts are completed, they will be incorporated into later versions of the norms, which will be made available on the Web site.
Devereux B.J., Tyler L.K., Geertzen J, & Randall B. (2013). The Centre for Speech, Language and the Brain (CSLB) concept property norms. Behavior Research Methods, 46(4), 1119-1127.
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Publication 2013
Animals Flowers Helianthus annuus Phocidae Puma concolor Reindeer Taraxacum Viola
3
Whitefly and Thrips Collection From Greenhouses
Cited 6 times
Whiteflies, Trialeurodes vaporariorum (Westwood) (Hemiptera: Aleyrodidae) were collected from mallow, Malva sylvestris (L.) (Malvales: Malvaceae), false dandelion Pyrrohopappus sp. (Asterales: Asteraceae), and tomato at greenhouses in the Universidad Autónoma Agraria Antonio Narro (UAAAN). Tomato plants were grown for whitefly production in the greenhouse at 20° C ± 2° C. Cuban laurel thrips, Gynaikothrips uzeli Zimmerman (Thysanoptera: Phlaeothripidae), adults were collected from their host plant, Ficus benjamina (L.) (Urticales: Moraceae) in the cities of Matamoros, Tamaulipas, and Monterrey, Nuevo León.
Sánchez-Peña S.R., Lara J.S, & Medina R.F. (2011). Occurrence of Entomopathogenic Fungi from Agricultural and Natural Ecosystems in Saltillo, México, and their Virulence Towards Thrips and Whiteflies. Journal of Insect Science, 11, 1.
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Publication 2011
Adult Asteraceae Ficus Hemiptera Lycopersicon esculentum Malva Malvaceae Malvales Moraceae Plants Taraxacum Thysanoptera Whiteflies
4
Honey Bee Viral Infection and Pollen Diet
Cited 5 times
In July 2014, one or two frames of emerging brood were removed from 15 healthy colonies housed in the Iowa State University research apiary. The following day, newly emerged bees from all frames were shaken into a large tub and gently mixed to provide a homogenized mixture of bees from the 15 different colonies. Bees from this mixture were then counted out into clear acrylic cages (10.16 × 10.16 × 7.62 cm) in groups of 35 per cage. Cages were randomly assigned to treatments and kept in a single walk-in insect rearing room kept at 32–34°C and 50% relative humidity. Each cage received a virus treatment (control 30% sugar solution or the same sugar solution with virus inoculum added) and a pollen dietary treatment (no pollen, polyfloral pollen, Cistus sp. (rockrose) pollen, or Castanea sp. (chestnut) pollen).
For the virus treatment, cages were provided an open feeder containing either 0.6 ml 30% sucrose solution or the same solution containing a 1 : 1000 dilution of viral inoculum (described in detail in Carrillo-Tripp et al. [43 (link)]). This dose was chosen through the production of dose–response curves to identify an inoculum concentration that would result in intermediate levels of mortality, as described in Carrillo-Tripp et al. [43 (link)]. Bees had ad libitum access to these feeders for 12 h, after which all of the solution had been completely consumed, and the open feeders were removed. For the rest of the experiment, bees had ad libitum access to untreated 30% sucrose solution fed through a drip feeder at the top of the cage.
Concurrent with the introduction of the open feeder, each cage received a pollen treatment. The cage either had no pollen added, polyfloral pollen, Cistus pollen, or Castanea pollen introduced into the bottom of the cage. Cistus and Castanea pollen were purchased from Pollenergie® (France). These pollens have been nutritionally well characterized, with Cistus being of overall lower quality (lower protein, amino acid content) and Castanea being of high quality (higher protein, amino acid content, beneficial affects during Nosema challenge) [24 (link)]. The polyfloral blend, identical to that described in Dolezal et al. [47 (link)], contained more than five species of pollen, with the most abundant being dandelion (Taraxacum sp. L.) and willow (Salix sp. L.), each of which made up approximately 8% by mass of the total blend. To this mixture, Cistus and Castanea pollen were added to a total of 8% by mass for each. In all cases, pollen was bee-collected and received in corbicular pellets. Each pollen source was homogenized into a powder in a coffee grinder, weighed out into 0.2 g aliquots and added to the bottom of each cage. After 24 h, remaining pollen was removed and replaced with fresh. In all cases, bees did not consume all of the pollen in any given 24 h period.
Mortality was monitored in all cages every 12 h with dead bees removed at each interval. Previous experiments had shown that mortality occurs primarily between 36 and 48 h post-infection (hpi, [43 (link)]) with some cages devoid of live bees by 72 hpi. Therefore, to sample bees during the height of infection but before death, six live bees were removed from each cage at 36 hpi. Mortality effects were measured as a cumulative percentage at 72 hpi, after which the experiment was ended because some cages had too few bees for meaningful analysis, similar to previous results [43 (link)]. Collected samples were stored at −70°C until processing.
Dolezal A.G., Carrillo-Tripp J., Judd T.M., Allen Miller W., Bonning B.C, & Toth A.L. (2019). Interacting stressors matter: diet quality and virus infection in honeybee health. Royal Society Open Science, 6(2), 181803.
Full text: Click here
Publication 2019
Amino Acids Bees Carbohydrates Cistus Coffee Diet Humidity Infection Insecta Nosema Pellets, Drug Pollen Powder Proteins Reading Frames Specimen Collection Sucrose Taraxacum Technique, Dilution Virus Willow
5
Cytokine and Allergen Detection in Tissue Samples
Cited 5 times
Tissue samples were weighed and homogenized and the supernatants were harvested for later analysis [7 (link)]. The protein levels of cytokines and chemokines were detected by means of bio-plex suspension chip technology (BIO-RAD, Hercules, Ca) according to the manufacturer’s instructions. Total IgE and specific IgE levels to common airborne allergens were detected by the ImmunoCAP system (Phadia, Uppsala, Sweden). Specific IgE was determined for house dust mix (Hx2, Dermatophagoides pteronyssinus, Dermatophagoides farinae and Blatella germanica), mould mix (Mx2, Penicillium notatum, Aspergillus fumigatus, Candida albicans and Alternaria), animal epidermal and protein mix (Ex1, Dander from cat, horse, cow and dog), tree pollen mix (Tx4, Oak, Elm, Maple leaf sycamore, Willow and Cottonwood), weed pollen mix (Wx5, Common Ragweed, Mugwort, Marguerite, Dandelion and Golded rod) and staphylococcus aureus enterotoxin A (SEA) and B (SEB) [2 (link), 7 (link), 8 (link)]. More information is provided in the Online Supplement.
Cao P.P., Zhang Y.N., Liao B., Ma J., Wang B.F., Wang H., Zeng M., Liu W.H., Schleimer R.P, & Liu Z. (2014). Increased local IgE production induced by common aeroallergens and phenotypic alteration of mast cells in Chinese eosinophilic, but not non-eosinophilic, chronic rhinosinusitis with nasal polyps. Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology, 44(5), 690-700.
Publication 2014
Acer Allergens Alternaria Animals Artemisia vulgaris Aspergillus fumigatus Candida albicans Chemokine Cytokine Dander Dermatophagoides farinae Dermatophagoides pteronyssinus Dietary Supplements DNA Chips Epidermis Equus caballus Fungus, Filamentous House Dust Penicillium chrysogenum Plant Leaves Pollen Populus fremontii Proteins Staphylococcal enterotoxin A Taraxacum Tissues Trees Willow

Most recents protocols related to «Taraxacum»

1
Cytotoxicity of Plant Stem Cell Extracts
Not available on PMC !

Example 7

The MTT Cell Proliferation assay determines cell survival following apple stem cell extract treatment. The purpose was to evaluate the potential anti-tumor activity of apple stem cell extracts as well as to evaluate the dose-dependent cell cytotoxicity.

Principle: Treated cells are exposed to 3-(4,5-dimethythiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT). MTT enters living cells and passes into the mitochondria where it is reduced by mitochondrial succinate dehydrogenase to an insoluble, colored (dark purple) formazan product. The cells are then solubilized with DMSO and the released, solubilized formazan is measured spectrophotometrically. The MTT assay measures cell viability based on the generation of reducing equivalents. Reduction of MTT only occurs in metabolically active cells, so the level of activity is a measure of the viability of the cells. The percentage cell viability is calculated against untreated cells.

Method: A549 and NCI-H520 lung cancer cell lines and L132 lung epithelial cell line were used to determine the plant stem cell treatment tumor-specific cytotoxicity. The cell lines were maintained in Minimal Essential Media supplemented with 10% FBS, penicillin (100 U/ml) and streptomycin (100 μg/ml) in a 5% CO2 at 37 Celsius. Cells were seeded at 5×103 cells/well in 96-well plates and incubated for 48 hours. Triplicates of eight concentrations of the apple stem cell extract were added to the media and cells were incubated for 24 hours. This was followed by removal of media and subsequent washing with the phosphate saline solution. Cell proliferation was measured using the MTT Cell Proliferation Kit I (Boehringer Mannheim, Indianapolis, IN) New medium containing 50 μl of MTT solution (5 mg/ml) was added to each well and cultures were incubated a further 4 hours. Following this incubation, DMSO was added and the cell viability was determined by the absorbance at 570 nm by a microplate reader.

In order to determine the effectiveness of apple stem cell extracts as an anti-tumor biological agent, an MTT assay was carried out and IC50 values were calculated. IC50 is the half maximal inhibitory function concentration of a drug or compound required to inhibit a biological process. The measured process is cell death.

Results: ASC-Treated Human Lung Adenocarcinoma Cell Line A549.

TABLE 7
Results of cytotoxicity of apple stem cell extract on lung cancer cell
line A549 as measured by MTT assay (performed in triplicate).
Values of replicates are % of cell death.
Concentration*replicatereplicatereplicateMean of% Live
(μg/ml)123replicatesSDSEMCells
25093.1890.8690.3491.461.510.878.54
10086.8885.1885.6985.920.870.5014.08
5080.5879.4981.0480.370.800.4619.63
2574.2873.8176.3974.831.380.7925.17
12.567.9868.1371.7569.282.131.2330.72
6.2561.6762.4567.1063.742.931.6936.26
3.12555.3756.7762.4558.203.752.1641.80
1.56249.0751.0857.8052.654.572.6447.35
0.78142.7745.4053.1547.115.403.1252.89

Results: ASC-Treated Human Squamous Carcinoma Cell Line NCI-H520.

TABLE 8
Results of cytotoxicity of apple stem cell extract on lung cancer
cell line NCI-H520 measured by MTT assay (performed in triplicate).
Values of replicates are % of cell death.
Concen-%
tration*replicatereplicatereplicateMean ofLive
(μg/ml)123replicatesSDSEMcell
25088.2889.2987.7388.430.790.4611.57
10078.1379.1978.1378.480.610.3521.52
5067.9869.0968.5468.540.560.3231.46
2557.8358.9958.9458.590.660.3841.41
12.547.6848.8949.3448.640.860.5051.36
6.2537.5338.7939.7538.691.110.6461.31
3.12527.3728.6930.1528.741.390.8071.26
1.56217.2218.5920.5618.791.680.9781.21
0.781 7.07 8.4810.96 8.841.971.1491.16

Results: ASC-treated Lung Epithelial Cell Line L132.

TABLE 9
Results of cytotoxicity of apple stem cell extract on
lung epithelial cell line L132 as measured by MTT assay
(performed in triplicate). Values of replicates are % of cell death.
Concen-rep-rep-rep-Mean%
tration*licatelicatelicateofLive
(μg/ml)123replicatesSDSEMcell
25039.5142.5244.0342.022.301.3357.98
10032.9334.4433.6933.690.750.4466.31
5030.6028.9430.5230.020.940.5469.98
2527.9627.8127.1327.630.440.2572.37
12.525.6225.5525.4025.520.120.0774.48
6.2523.1320.8718.6120.872.261.3179.13
3.12513.3411.0811.8312.081.150.6687.92
1.562 6.56 7.31 9.57 7.811.570.9192.19
0.781 8.06 4.30 3.54 5.302.421.4094.70

Summary Results: Cytotoxicity of Apple Stem Cell Extracts.

TABLE 10
IC50 values of the apple stem cell extracts on the on the target
cell lines as determined by MTT assay.
Target Cell
LineIC50
A54912.58
NCI-H52010.21
L132127.46

Apple stem cell extracts killed lung cancer cells lines A549 and NCI-H520 at relatively low doses: IC50s were 12.58 and 10.21 μg/ml respectively as compared to 127.46 μg/ml for the lung epithelial cell line L132. Near complete anti-tumor activity was seen at a dose of 250 μg/ml in both the lung cancer cell lines. This same dose spared more than one half of the L132 cells. See Tables 7-10. The data revealed that apple stem cell extract is cytotoxic to lung cancer cells while sparing lung epithelial cells. FIG. 6 shows a graphical representation of cytotoxicity activity of apple stem cell extracts on lung tumor cell lines A549, NCIH520 and on L132 lung epithelial cell line (marked “Normal”). The γ-axis is the mean % of cells killed by the indicated treatment compared to unexposed cells. The difference in cytotoxicity levels was statistically significant at p≤05.

Example 9

The experiment of Example 7 was repeated substituting other plant materials for ASC. Plant stem cell materials included Dandelion Root Extract (DRE), Aloe Vera Juice (AVJ), Apple Fiber Powder (AFP), Ginkgo Leaf Extract (GLE), Lingonberry Stem Cells (LSC), Orchid Stem Cells (OSC) as described in Examples 1 and 2. The concentrations of plant materials used were nominally 250, 100, 50, 25, 6.25, 3.125, 1.562, and 0.781 μg/mL. These materials were tested only for cells the human lung epithelial cell line L132 (as a proxy for normal epithelial cells) and for cells of the human lung adenocarcinoma cell line A549 (as a proxy for lung cancer cells).

A549 cells lung cancer cell line cytotoxicity results for each of the treatment materials.

DRE-Treated Lung Cancer Cell Line A549 Cells.

TABLE 11
Triplicate results of cell death of DRE-treated
A549 cells measured by MTT assay.
Percentage of live cells calculated as 100% − Mean of triplicates.
Concentration%
(μg/mL)-DRE-Live
treated A549% of cell deathMeanSDSEMcell
25080.4376.4074.8477.232.891.6722.77
10067.6075.2663.7768.885.853.3831.12
5065.3262.9459.9462.732.701.5637.27
2556.8357.9748.1454.315.383.1145.69
6.2555.5949.6949.1751.483.572.0648.52
3.12551.7648.4545.3448.523.211.8551.48
1.56243.6944.0036.0241.244.522.6158.76
0.78137.4726.1919.5727.749.055.2372.26

AVJ-Treated Lung Cancer Cell line A549 Cells.

TABLE 12
Triplicate results of cell death of AVJ-treated
A549 cells measured by MTT assay.
Percentage of live cells calculated as 100% − Mean of triplicates.
Concentration%
(μg/mL)-AVJ-treatedLive
A549% of cell deathMeanSDSEMcell
25076.8178.1675.8876.951.140.6623.05
10076.4075.2673.7175.121.350.7824.88
5065.3266.1559.9463.803.371.9536.20
2550.1048.4556.6351.734.322.5048.27
6.2547.5246.3846.1746.690.720.4253.31
3.12539.8638.6143.7940.752.701.5659.25
1.56232.4019.7730.5427.576.823.9472.43
0.78120.5015.6332.1922.778.514.9277.23

AFP-Treated Lung Cancer Cell line A549 Cells.

TABLE 13
Triplicate results of cell death of AFP-treated
A549 cells measured by MTT assay.
Percentage of live cells calculated as 100% − Mean of triplicates.
Concentration%
(μg/mL)-AFP-treatedLive
A549% of cell deathMeanSDSEMcell
25086.1387.9986.6586.920.960.5613.08
10079.5081.0682.0980.881.300.7519.12
5073.6072.4671.3372.461.140.6627.54
2568.0167.7066.9867.560.530.3132.44
6.2560.8762.1160.7761.250.750.4338.75
3.12549.4851.7650.7250.661.140.6649.34
1.56240.0641.7247.0042.933.622.0957.07
0.78139.2337.7836.8537.961.200.6962.04

GLE-treated Lung Cancer Cell line A549 Cells.

TABLE 14
Triplicate results of cell death of GLE-treated
A549 cells measured by MTT assay.
Percentage of live cells calculated as 100% − Mean of triplicates.
Concentration%
(μg/mL)-GLE-treatedLive
A549% of cell deathMeanSDSEMcell
25088.4291.4990.4490.121.560.909.88
10084.3983.7783.1683.770.610.3516.23
5079.4781.5876.7579.272.421.4020.73
2573.6072.5471.4072.511.100.6327.49
6.2562.8963.6859.9162.161.991.1537.84
3.12550.1854.4751.8452.162.171.2547.84
1.56246.9344.3043.3344.851.861.0755.15
0.78139.5639.3940.9639.970.870.5060.03

LSC-treated lung cancer cell lines A549 cells.

TABLE 15
Triplicate results of cell death of LSC-treated
A549 cells measured by MTT assay.
Percentage of live cells calculated as 100% − Mean of triplicates.
Concentration
(μg/mL)% Live
LSC treated A549% of cell deathMeanSDSEMcell
25077.5478.8578.2078.200.650.3821.80
10077.1476.0476.5976.590.550.3223.41
5066.4268.5266.8267.251.120.6532.75
2559.8067.2264.1663.733.732.1536.27
6.2550.5348.8248.0749.141.260.7350.86
3.12541.1443.6042.7242.491.240.7257.51
1.56239.4739.7440.6139.940.600.3460.06
0.78138.5531.8336.7935.723.482.0164.28

OSC-treated Lung Cancer Cell line A549 Cells.

TABLE 16
Triplicate results of cell death of OSC-treated
A549 cells measured by MTT assay.
Percentage of live cells calculated as 100% − Mean of triplicates.
Concentration
(μg/mL)% Live
OSC-treated A549% of cell deathMeanSDSEMcell
25070.8465.5771.4969.303.251.8730.70
10048.8150.9157.2852.334.412.5547.67
5046.5949.6053.3349.843.381.9550.16
2538.7740.8136.5838.722.111.2261.28
6.2535.7440.7941.0539.193.001.7360.81
3.12534.5533.6837.0235.081.731.0064.92
1.56233.8633.4427.6331.643.482.0168.36
0.78121.3220.0034.8225.388.214.7474.62

L132 cells (“normal” lung epithelial cell line) cytotoxicity results for each of the treatment materials.

DRE-Treated Lung Epithelial Cell Line L132 cells.

TABLE 17
Triplicate results of cell death of DRE-treated
L132 cells measured by MTT assay.
Percentage of live cells calculated as 100% − Mean of triplicates.
Concentration% of %
(μg/mL)cellLive
DRE-treated L132deathMeanSDSEMcell
25086.6686.6186.6686.640.030.0213.36
10076.2977.3976.8476.840.550.3223.16
5065.9268.1767.0167.031.130.6532.97
2555.5458.9557.1957.231.700.9842.77
6.2545.1749.7347.3747.422.281.3252.58
3.12534.8040.5037.5437.612.851.6562.39
1.56224.4231.2827.7227.813.431.9872.19
0.78114.0522.0617.8918.004.012.3182.00

AVJ-Treated Lung Epithelial Cell Line L132 cells.

TABLE 18
Triplicate results of cell death of AVJ-treated
L132 cells measured by MTT assay.
Percentage of live cells calculated as 100% − Mean of triplicates
AFP-treated lung epithelial cell line L132 cells.
Concentration % of %
(μg/mL)cellLive
AVJ-treated L132deathMeanSDSEMcell
25057.0355.9353.6255.531.741.0044.47
10050.9949.7847.0449.272.031.1750.73
5044.9543.6340.4543.012.311.3456.99
2538.9137.4933.8636.752.601.5063.25
6.2532.8831.3427.2830.502.891.6769.50
3.12526.8425.1920.6924.243.181.8475.76
1.56220.8019.0514.1117.983.472.0082.02
0.78114.7612.90 7.5211.733.762.1788.27

AFP-Treated Lung Epithelial Cell Line L132 cells.

TABLE 19
Triplicate results of cell death of AFP-treated
L132 cells measured by MTT assay.
Percentage of live cells calculated as 100% − Mean of triplicates
AFP-treated lung epithelial cell line L132 cells.
Concentration
(μg/mL)% Live
AFP-treated L132% of cell deathMeanSDSEMcell
25056.1555.4357.1956.260.880.5143.74
10049.9548.2447.6448.611.200.6951.39
5043.7441.0538.0940.962.831.6359.04
2537.5433.8628.5433.324.532.6166.68
6.2531.3426.6718.9925.676.243.6074.33
3.12525.1419.489.4418.027.954.5981.98
1.56218.9412.2910.8714.034.312.4985.97
0.78112.73 5.10 6.81 8.214.002.3191.79

GLE-Treated Lung Epithelial Cell Line L132 cells.

TABLE 20
Triplicate results of cell death of GLE-treated
L132 cells measured by MTT assay.
Percentage of live cells calculated as 100% − Mean of triplicates
AFP-treated lung epithelial cell line L132 cells.
Concentration
(μg/mL)% Live
GLE-treated L132% of cell deathMeanSDSEMcell
25084.4283.2083.0883.570.740.4316.43
10080.0579.2978.5979.310.730.4220.69
5072.7571.5974.1072.811.260.7227.19
2580.0581.8679.9980.631.060.6119.37
6.2568.2670.1368.2668.881.080.6231.12
3.12560.6263.0760.6261.441.410.8238.56
1.56248.0748.7748.8348.560.420.2451.44
0.78146.2745.5746.6746.170.560.3253.83

LSC-Treated Lung Epithelial Cell Line L132 cells.

TABLE 21
Triplicate results of cell death of LSC-treated
L132 cells measured by MTT assay.
Percentage of live cells calculated as 100% − Mean of triplicates
AFP-treated lung epithelial cell line L132 cells.
Concentration
(μg/mL)% Live
LSC-treated L132% of cell deathMeanSDSEMcell
25086.4185.8285.7686.000.350.2014.00
10081.2181.2779.9980.820.720.4219.18
5075.9674.7473.5174.741.230.7125.26
2574.7472.7571.4772.991.650.9527.01
6.2570.1368.3268.2668.901.060.6131.10
3.12554.0358.0553.4455.172.511.4544.83
1.56253.9751.9851.9852.641.150.6647.36
0.78146.7945.6244.9245.78 0.940.54 54.22

OSC-Treated Lung Epithelial Cell Line L132 cells.

TABLE 22
Triplicate results of cell death of OSC-treated
L132 cells measured by MTT assay.
Percentage of live cells calculated as 100% − Mean of triplicates
AFP-treated lung epithelial cell line L132 cells.
Concentration %
(μg/mL)Live
OSC-treated L132% of cell deathMeanSDSEMcell
25061.8462.3760.4461.551.000.5738.45
10054.1453.4452.1053.231.040.6046.77
5042.9442.3040.3241.851.370.7958.15
2535.9434.4833.3134.581.320.7665.42
6.2533.9632.6732.0332.890.980.5767.11
3.12527.4826.2026.7226.800.650.3773.20
1.562 9.80 7.29 7.35 8.151.430.8391.85
0.781 7.29 8.98 8.05 8.110.850.4991.89

Calculated values.

TABLE 23
Calculated IC50 doses (ug/mL) and therapeutic ratios
(IC50 for L132 cells/IC50 for A549 cells) for each
treatment material. Values greater than one indicate
that a material would be more selective in killing cancer
cells than normal cells. ASC results imported from
Example 8. These studies indicate that at least
some of the materials may be effective anti-cancer agents.
ASC has outstanding selectivity compared to other materials.
ASCDREAVJAFPGLELSCOSC
A549 12.589.82211.4811.9811.1 13.733.9 
IC50
L132 127.4656.88 62.6682.6577.6369.26715.38
IC50
Ther.10.15.8 5.56.97.0 0.70.5
Ratio

US11872258B2. Oral cavity treatments (2024-01-16). None [US]. Inventors: Maryam Rahimi [US].
Full text: Click here
Patent 2024
14-3-3 Proteins 43-63 61-26 A549 Cells Action Potentials Adenocarcinoma of Lung Aloe Aloe vera Antineoplastic Agents Biological Assay Biological Factors Biological Processes Bromides Cardiac Arrest Cell Death Cell Extracts Cell Lines Cell Proliferation Cells Cell Survival Cytotoxin diphenyl DNA Replication Epistropheus Epithelial Cells Fibrosis Formazans Genetic Selection Ginkgo biloba Ginkgo biloba extract Homo sapiens Lingonberry Lung Lung Cancer Lung Neoplasms Malignant Neoplasms Mitochondria Mitochondrial Inheritance Neoplasms Neoplastic Stem Cells Oral Cavity PEG SD-01 Penicillins Pharmaceutical Preparations Phosphates Plant Cells Plant Leaves Plant Roots Plants Powder Psychological Inhibition Saline Solution SD 31 SD 62 SEM-76 Squamous Cell Carcinoma Stem, Plant Stem Cells Streptomycin Succinate Dehydrogenase Sulfoxide, Dimethyl Taraxacum Tetrazolium Salts
2
Dandelion Root Decoction Protocol
A total of 3 g chopped dandelion root is added to 300 ml of cold water, then heated and boiled for 5 min. After boiling, the root is left for ten minutes to cool and then filtered.
Radoman K., Zivkovic V., Zdravkovic N., Chichkova N.V., Bolevich S, & Jakovljevic V. (2023). Effects of dandelion root on rat heart function and oxidative status. BMC Complementary Medicine and Therapies, 23, 78.
Full text: Click here
Publication 2023
Cold Temperature Plant Roots Taraxacum
3
Dandelion Root Intake and Anesthesia
Every morning for four weeks, the animals received fresh dandelion root in a 250 ml volume bottle [6 (link)]. In order to accurately record the intake of dandelion root, each animal was placed in a separate cage, while the volume of tea was recorded daily. The average daily dandelion root intake was 39.44 ± 2.67 ml in the experimental group, while the control group took tap water in an average amount of 42.85 ± 3.16 ml.
The animals were subjected to anesthesia at the end of the experimental protocol prior to sacrifice. A mixture of ketamine (Vet-Agro, Lublin, Poland) and xylazine (De Adelaar B.V, Venray, Holland) was prepared in a syringe. Administration of 25 µl/kg ketamine and 62.5 µl/kg xylazine was equivalent to the recommended dosage of 10 mg ketamine/kg and 5 mg xylazine/kg for rats [11 (link)]. The ketamine/xylazine mixture was administered i.p., and after 2 min, animals were sacrificed by decapitation.
Radoman K., Zivkovic V., Zdravkovic N., Chichkova N.V., Bolevich S, & Jakovljevic V. (2023). Effects of dandelion root on rat heart function and oxidative status. BMC Complementary Medicine and Therapies, 23, 78.
Full text: Click here
Publication 2023
Anesthesia Animals AT protocol Decapitation Ketamine Plant Roots Rattus norvegicus Syringes Taraxacum Xylazine
4
Dandelion Root Effects on Wistar Rats
The study was carried out on 20 male Wistar albino rats (8 weeks old, body weight 250 ± 20 g). The animals consumed commercial rat food (20% protein rat food, Veterinary Institute Subotica, Serbia) and were housed under controlled environmental conditions at room temperature (22 ± 1 °C) with a 12-h light/day photoperiod. The rats had free access to food and tap water ad libitum. At the beginning of the experimental protocol, rats were randomly classified into two groups (10 rats per group):

Control group – animals that drank tap water.

Experimental group – animals that drank dandelion root for four weeks [6 (link)].

Radoman K., Zivkovic V., Zdravkovic N., Chichkova N.V., Bolevich S, & Jakovljevic V. (2023). Effects of dandelion root on rat heart function and oxidative status. BMC Complementary Medicine and Therapies, 23, 78.
Full text: Click here
Publication 2023
Albinism Animals Animals, Laboratory AT protocol Body Weight Food Light Males Plant Roots Proteins Rats, Wistar Rattus norvegicus Taraxacum
5
Comprehensive Analysis of 12 Major Medicinal Herbs
In this study, 10 samples of each of the 12 types of MFHTs were collected: Scaphium scaphigerum, Momordica grosvenori, honeysuckle, matrimony vine, Rosa rugosa, dandelion, semen cassiae, lotus leaf, mulberry leaf, Chinese date, Flos sophorae, and chrysanthemum. The producing areas of these 120 samples were recorded, and six samples were of imported origin, and thus not marked in Supplementary Fig. 1. All MFHTs were sourced from pharmacies in different regions of China.
Xiao C., Liang B., Xiong W, & Ye X. (2023). Enrichment and health risks associated with trace elements in medicine food homology teas. Environmental Science and Pollution Research International, 30(18), 54193-54204.
Publication 2023
Birth Chinese Chrysanthemum Flowers Lonicera Lotus Lycium barbarum Momordica Morus Plant Embryos Plant Leaves Rosa Taraxacum

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More about "Taraxacum"

Taraxacum, a genus of flowering plants in the Asteraceae family, are commonly known as dandelions.
These herbaceous perennials are widely distributed across temperate regions of the Northern Hemisphere and are recognized for their distinctive yellow flower heads and fluffy seed heads.
Taraxacum plants are known for their adaptability, prolific growth, and potential medicinal properties.
Researchers leveraging PubCompare.ai, an AI-driven platform, can effortlessly locate protocols from literature, preprints, and patents to optimize reproducible studies on these versatile plants.
PubCompare.ai's intelligent tool allows users to streamline their research by identifying the best protocols and products through AI-powered comparisons.
These dandelion plants contain a variety of bioactive compounds that have piqued the interest of scientists.
Analytical techniques such as LC-20AD HPLC, Xtimate C18 column, and Nicolet 6700 FTIR spectrometer can be used to profile the chemical constituents of Taraxacum species.
The SPECTROstar Nano Microplate Reader and ImmunoCAP technology can be employed to assess the biological activities and therapeutic potential of these plants.
Further research on Taraxacum may involve the use of the Infinite 200 PRO multimode microplate reader, RID-20 refractive index indicator, Sigma J-2500 circular dichroism spectrometer, and TSK gel GMPWXL column for size-exclusion chromatography.
The Cell Ranger software can also be leveraged to analyze and interpret the data generated from these studies.
By harnessing the power of PubCompare.ai and the latest analytical tools, researchers can deepen their understanding of the Taraxacum genus and explore its untapped medicinal and commercial potentioal.