Response Elements
They are found in the promoter regions of genes and play a crucial role in activating or repressing transcriptional activity.
Response elements can be classified based on the type of transcription factor they interact with, such as steroid hormone response elements, metal response elements, or cyclic AMP response elements.
Understanting the structure and function of response elements is essential for researchers studying gene regulation and developing targeted therapeutic interventions.
Most cited protocols related to «Response Elements»
The combined 2001-2006 NHANES sample includes 17,176 adults. Of these, 15,662 (91.2%) had BMI values based on physical measures of height and weight, and 16,579 (96.5%) had BMI values based on self-reported height and weight. For 15,161 (88.3%) adult NHANES participants, both self-reported and measured BMI indicators were available for analysis. Among these, 15,155 adults also provided responses to the question: "Have you EVER been told by a doctor or health professional that you have diabetes or sugar diabetes?" Response rates for the height and weight information were lower among older respondents (particular those over 70 years of age) and among Hispanics compared to whites and African Americans, largely due to lower response rates for the measured height and weight data. Gender differences were generally small, with men having slightly better response rates.
For comparison estimates, self-reported data from the 2001-2006 National Health Interview Survey (NHIS) Sample Adult components were also analyzed. The NHIS is a household, multi-stage probability sample survey conducted annually by NCHS and fielded by the U.S. Census Bureau for the Centers for Disease Control and Prevention's National Center for Health Statistics [22 ]. The sample size for the combined 2001-2006 NHIS Sample Adult interview was 182,251 adults. Of these, 95.3% had BMI values based on their self-reported height and weight. The average annual response rate for the 2001-2006 NHIS household surveys was 88%; the final response rate for the Sample Adult component (for which self-response is required) was 72%.
The weight history section of the NHANES interview contained the following two questions: (1) "How tall are you without shoes?" This question could be answered by the respondent in terms of feet and inches or meters and centimeters; and (2) "How much do you weigh without clothes or shoes?" This question could be answered in terms of pounds or kilograms. The parallel NHIS questions were: (1) "How tall are you without shoes?" and (2) "How much do you weigh without shoes?"
Both the NHANES and NHIS surveys are subject to the CDC/NCHS Ethics Review Board (ERB) to ensure that appropriate human subjects protections are provided, in compliance with 45 CFR part 46. All statistical analyses were carried out with STATA 10.1 software [23 ], using the "svy" command to incorporate information on the appropriate weights, primary sampling units and strata for correct variance estimation. This analysis is limited to the adult (18 years and over) samples in both surveys. Estimates are age-standardized based on the 2000 U.S. Census results, using 10-year age intervals.
Most recents protocols related to «Response Elements»
Example 11
MPV.10.34.d IRC Effectiveness in Human Assays
While the in vitro functional test results of the above experiments were promising, the next desired step in the analysis was to perform similar experiments in human-based assays. To this end, the response of mock human cellular immune system components to tumor cells exposed to MPV.10.34.d IRC was examined in vitro. Human CMV (HCMV) was selected for this study since human CMV is highly prevalent (infecting 50-90% of the human population) and mostly asymptomatic in healthy individuals. (See, Longmate et al., Immunogenetics, 52(3-4):165-73, 2001; Pardieck et al., F1000Res, 7, 2018; and van den Berg et al., Med. Microbiol. Immunol., 208(3-4):365-373, 2019). Importantly, HCMV establishes a life-long persistent infection that requires long-lived cellular immunity to prevent disease. Hence, it is rational to hypothesize that a complex adaptive cell-mediated anti-viral immunity developed over many years to strongly control a viral infection in an aging person can be repurposed and harnessed to treat cancer.
In these experiments, CD8+ T cell responses to CMV peptides were tested in three different human tumor cell lines, including HCT116, OVCAR3, and MCF7. All three of these human tumor cell lines are HLA-A*0201 positive.
In vitro cytotoxicity assays. HTC112, human colon cancer cells, MCF7, human breast cancer cells, and OVCAR3, human ovarian cancer cells (all from ATCC, Manassas, VA, US) were seeded overnight at 0.01 to 0.2×106 per well per 100 μL per 96 well plate. The next day (about 20 to 22 hrs later), each cell line was incubated for one hour at 37° C. under the following conditions: (1) CMV peptide at a final concentration of 1 μg/mL (positive control), (2) MPV.10.34.d at a final concentration of 2.5 μg/mL (negative control), (3) CMV-conjugated MPV.10.34.d IRC at a final concentration of 2.5 μg/mL, (4) CMV-conjugated HPV16 IRC at a final concentration of 2.5 μg/mL, and (5) no antigen (negative control). After 1 hour, the cells were washed vigorously with 200 μL of media for three times to remove non-specific binding. Human patient donor CMV T cells (ASTARTE Biologics, Seattle, WA, US) were added at the E:T (effector cell:target cell) ratio of 10:1 and incubated in a tissue culture incubator for 24 hrs at 37 C, 5% CO2. The total final volume of each sample after co-culture was 200 μL. Cell viability was measured after co-culturing. Cell viability was measured with CELLTITER-GLO® (Promega, Madison, WI, US). This assay provides a luciferase-expressing chemical probe that detects and binds to ATP, a marker of cell viability. The amount of ATP generated from tumor cells was quantified according to manufacturer protocols. In these assays, reduced luciferase activity indicates cell death and suggests greater immune redirection and greater cytotoxicity.
The results are provided in
Example 37
Structural comparison between mouse Numblike and its mammalian Numb homologues and construction of integrase-deficient, transgene expressing lentivectors.
Due to this alternating sequence, some runs of three consecutive trials (triplets) were more probable than others. In the example sequence 2-r-4-r-3-r-1-r, triplets 2-X-4, 4-X-3, 3-X-1, and 1-X-2 (where X indicates the middle element of the triplet) occurred with a higher probability because they were presented in every sequence repetition (P-r-P) and could also be formed by chance (r-P-r, see Fig.
The ASRT task enables us to separate statistical learning from general skill improvements. Statistical learning is defined as faster and more accurate responses to high-probability elements than to low-probability ones (50 (link)). In contrast, general skill improvements refer to average speed-up and changes in accuracy which are independent of the probabilities of events. These improvements reflect more efficient visuomotor and motor–motor coordination due to practice (9 (link), 18 (link)).
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More about "Response Elements"
They are found in the promoter regions of genes and play a crucial role in activating or repressing transcriptional activity.
Response elements can be classified based on the type of transcription factor they interact with, such as steroid hormone response elements, metal response elements, or cyclic AMP response elements.
Understanding the structure and function of response elements is essential for researchers studying gene regulation and developing targeted therapeutic interventions.
Response elements are often studied using techniques like the Dual-Luciferase Reporter Assay System, which allows researchers to measure the activity of a promoter or enhancer sequence by quantifying the expression of a luciferase reporter gene.
Lipofectamine 2000 and Lipofectamine 3000 are commonly used transfection reagents that facilitate the delivery of plasmid DNA, including reporter constructs, into mammalian cells.
Once the reporter construct is expressed in the cells, the Dual-Glo Luciferase Assay System or Dual luciferase assay kit can be used to measure the activity of the firefly and Renilla luciferase enzymes, which serve as reporters for the activity of the response element.
Passive lysis buffer is often used to lyse the cells and extract the luciferase enzymes for the assay.
Researchers can use the Dual-Luciferase Reporter Assay to study the effects of various stimuli, such as hormones, metals, or signaling molecules, on the activity of response elements.
By analyzing the changes in luciferase expression, they can gain insights into the regulatory mechanisms that control gene expression.
This information is crucial for understanding gene regulation and developing targeted therapeutics that can modulate the activity of specific response elements.