ATF4 protein, human
It is involved in the regulation of genes related to amino acid metabolism, antioxidant response, and apoptosis.
ATF4 is activated in response to various stimuli, such as amino acid deprivation, endoplasmic reticulum (ER) stress, and oxidative stress.
This transcription factor helps cells adapt to these stressful conditions by inducing the expression of target genes that promote cell survival or, in some cases, programmed cell death.
ATF4 has been implicated in the pathogenesis of several diseases, including neurodegenerative disorders, cancer, and metabolic diseases, making it an important target for research and potential therapeutic interventions.
Understading the regulatory mechanisms and functional roles of ATF4 is crucial for elucidating the complex cellular stress response pathways and developing effective strategies to manage ATF4-related diseases.
Most cited protocols related to «ATF4 protein, human»
The shRNA target sequence for UPF1 and SMG6 were described in Paillusson et al. (2005) (link) and SMG7 was described in Metze et al. (2013) (link). Total RNA was extracted using the GenElute Mammalian Total RNA Miniprep Kit (Sigma-Aldrich).
Cell harvesting for protein samples (derived from the same sample as RNA preparation) and measurement of relative mRNA levels by reverse transcription quantitative polymerase chain reaction (RT-qPCR) were done as described in Nicholson et al. (2012) . Briefly, 2 × 105 cell equivalents were analyzed on a 10% PAGE, and detection was performed using Anti-RENT1 (UPF1) (Bethyl, A300–038A), anti- EST1 (SMG6) (Abcam, ab87539), Anti-SMG7 (Bethyl, A302–170A), and Anti-CPSF73 (custom made) antibodies.
qPCR assays have been described elsewhere (Yepiskoposyan et al. 2011 (link)), except for the assays to measure the following genes: GAS5 (5′-GCACCTTATGGACAGTTG-3′, 5′-GGAGCAGAACCATTAAGC-3′); CDKN1A (5′-GACCAGCATGACAGATTTCTAC3′, 5′-CAAACTGAGACTAAGGCAGAAG); ΤΜΕΜ183Α (5′-TGCTCCGGCCGAGTGA-3′, 5′-ACCGCCGGATCCGAGTT-3′); RP9P (5′- CAAGCGCCTGGAGTCCTTAA-3′, 5′-AGGAGGTTTTTCATAACTCGTGATCT-3′); GADD45B (5′-TCAACATCGTGCGGGTGTCG-3′, 5′-CCCGGCTTTCTTCGCAGTAG-3′); ATF4 (5′-TCAACATCGTGCGGGTGTCG-3′, 5′-CCCGGCTTTCTTCGCAGTAG-3′).
A total of 33 samples were sequenced: control knockdowns (Ctrl) in six replicates, all other conditions in triplicates. The TruSeq Stranded mRNA kit (chemistry v3) was used in the preparation of the library and in the poly(A) enrichment step. The first batch was sequenced on an Illumina HiSeq2500 and the second on an Illumina HiSeq3000 machine. Reads are single-end and 100 bp long. The sequencing depth of every sample is reported in
For cryostat sections, mouse aorta samples were fixed in 4% paraformaldehyde, embedded in optimum cutting temperature (OCT) compound, frozen in liquid nitrogen and stored at −80 °C until sectioning. Apoptotic cells were identified using DeadEnd Fluorometric TUNEL (Promega, Madison, WI). TUNEL and α‐SMA or F4/80 double staining was performed to detect apoptotic SMCs or apoptotic macrophages before confocal fluorescence microscopy analysis (Leica Microsystems, Buffalo Grove, IL, USA).
Most recents protocols related to «ATF4 protein, human»
Example 17
Since interferon signaling is spontaneously activated in a subset of cancer cells and exposes potential therapeutic vulnerabilities, it was tested whether there is evidence for similar endogenous interferon activation in primary human tumors. An IFN-GES threshold was computed to predict ADAR dependency across the CCLE cell lines and was determined to be a z-score above 2.26 (
Furthermore, analysis of TCGA copy number data showed that the interferon gene cluster including IFN-β (IFNβI), IFN-ε (IFNE), IFN-ω (IFNWI), and all 13 subtypes of IFN-α on chromosome 9p21.3, proximal to the CDKN2A/CDKN2B tumor suppressor locus, is one of the most frequently homozygously deleted regions in the cancer genome. The interferon genes comprise 16 of the 26 most frequently deleted coding genes across 9,853 TCGA cancer specimens for which ABSOLUTE copy number data are available (
In summary, specific cancer cell lines have been identified with elevated IFN-β signaling triggered by an activated cytosolic DNA sensing pathway, conferring dependence on the RNA editing enzyme, ADAR1. In cells with low, basal interferon signaling, the cGAS-STING pathway is inactive and PKR levels are reduced (
The synthesized cDNAs were quantified with specific primers for HBS1L transcripts using SYBR master mix (Applied Biosystems) according to the manufacturer’s recommended conditions. Expression of α-, β-, and γ-globin was measured by SYBR green-based qPCR using primer sequences [19 (link)]. Quantitative PCR was performed on CFX96™ Real-Time system (Bio-Rad). The expression of α-, β-, and γ-globin mRNA in shNTC and shHBS1L transduced cells were calculated by 2-ΔΔCt methods relative to untransduced (UNT) control as described below.
In comparison to untransduced cells, the abundance of the mRNAs for the following erythroid-related transcription factors, namely BCL11A, ZBTB7A, KLF1, GATA1, GATA2, MYB, and ATF4, was measured and displayed as a fold change [20 (link)]. The primer sequences utilized in this study are listed in
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More about "ATF4 protein, human"
ATF4 is activated in response to various stimuli, such as amino acid deprivation, endoplasmic reticulum (ER) stress, and oxidative stress, and plays a crucial part in regulating genes related to amino acid metabolism, antioxidant response, and apoptosis.
Understand how ATF4 helps cells adapt to these stressful conditions by inducing the expression of target genes that promote cell survival or, in some cases, programmed cell death.
Explore the regulatory mechanisms and functional roles of ATF4, which has been implicated in the pathogenesis of several diseases, including neurodegenerative disorders, cancer, and metabolic diseases.
This makes ATF4 an important target for research and potential therapeutic interventions.
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Learn about the key molecules and techniques involved in ATF4 research, such as EIF2α, P-eIF2α, β-actin, Lipofectamine 2000, TRIzol reagent, P-ERK, Anti-ATF4, Cleaved caspase-3, and RNeasy Mini Kit.
Leverage these insights to design robust experiments and unlock new frontiers in the understanding of ATF4 and its role in cellular stress response pathways.