Abstract:ABSTRACT-In mammalian cells, protein de novo synthesis is mainly regulated at the stage of gene transcription by RNA polymerase II in the nucleus. Transcription factors are proteins that bind to the specific nucleotide sequences at promoter or enhancer regions on target genes to control the transcription of mRNA from genomic DNA. In this article, we have outlined the signal responsiveness of different transcription factors to particular drugs in the brain. Nuclear transcription factors rapidly respond to a var… Show more
“…The central portion of the protein contains 86 = 30 + 28 + 28 aa decomposed into 3 zinc fingers with the following secondary structure (letter H is for the α-helix segment, letter E is for the β-sheet segment and letter C is for the random coil segment) CCCEECCCCCCCCEECHHHHHHHHHHHHHH CCCEECCCCCCEECHHHHH-HHHHHHHHH CCCEECCCCCCEECHHHHHHHHHHHHHC Taking the former 3-letter chain as the relation of a finitely generated group on 3 letters (and rank 2), we get the cardinality sequence for the cc of its subgroups as [1,3,7,26,112, 717, • • • ], which fits the cardinality sequence of cc of subgroups of the free group F 2 only up to the index 4.…”
Transcription factors (TFs) are proteins that recognize specific DNA fragments in order to decode the genome and ensure its optimal functioning. TFs work at the local and global scales by specifying cell type, cell growth and death, cell migration, organization and timely tasks. We investigate the structure of DNA-binding motifs with the theory of finitely generated groups. The DNA ‘word’ in the binding domain—the motif—may be seen as the generator of a finitely generated group Fdna on four letters, the bases A, T, G and C. It is shown that, most of the time, the DNA-binding motifs have subgroup structures close to free groups of rank three or less, a property that we call ‘syntactical freedom’. Such a property is associated with the aperiodicity of the motif when it is seen as a substitution sequence. Examples are provided for the major families of TFs, such as leucine zipper factors, zinc finger factors, homeo-domain factors, etc. We also discuss the exceptions to the existence of such DNA syntactical rules and their functional roles. This includes the TATA box in the promoter region of some genes, the single-nucleotide markers (SNP) and the motifs of some genes of ubiquitous roles in transcription and regulation.
“…The central portion of the protein contains 86 = 30 + 28 + 28 aa decomposed into 3 zinc fingers with the following secondary structure (letter H is for the α-helix segment, letter E is for the β-sheet segment and letter C is for the random coil segment) CCCEECCCCCCCCEECHHHHHHHHHHHHHH CCCEECCCCCCEECHHHHH-HHHHHHHHH CCCEECCCCCCEECHHHHHHHHHHHHHC Taking the former 3-letter chain as the relation of a finitely generated group on 3 letters (and rank 2), we get the cardinality sequence for the cc of its subgroups as [1,3,7,26,112, 717, • • • ], which fits the cardinality sequence of cc of subgroups of the free group F 2 only up to the index 4.…”
Transcription factors (TFs) are proteins that recognize specific DNA fragments in order to decode the genome and ensure its optimal functioning. TFs work at the local and global scales by specifying cell type, cell growth and death, cell migration, organization and timely tasks. We investigate the structure of DNA-binding motifs with the theory of finitely generated groups. The DNA ‘word’ in the binding domain—the motif—may be seen as the generator of a finitely generated group Fdna on four letters, the bases A, T, G and C. It is shown that, most of the time, the DNA-binding motifs have subgroup structures close to free groups of rank three or less, a property that we call ‘syntactical freedom’. Such a property is associated with the aperiodicity of the motif when it is seen as a substitution sequence. Examples are provided for the major families of TFs, such as leucine zipper factors, zinc finger factors, homeo-domain factors, etc. We also discuss the exceptions to the existence of such DNA syntactical rules and their functional roles. This includes the TATA box in the promoter region of some genes, the single-nucleotide markers (SNP) and the motifs of some genes of ubiquitous roles in transcription and regulation.
“…Gene transcription would therefore lead to long-lasting and sometimes permanent alterations of a variety of cellular functions through consolidation of transient extracellular signals following regulation of de novo biosynthesis of inducible target proteins (8). Such a consolidation mechanism would be operative in certain situations including neuronal plasticity and degeneration in the CNS (9). We have recently shown that brief exposure to static magnetic fields leads to a marked but transient increase in DNA binding of the nuclear transcription factor activator perotein-1 (AP1) responsible for the recognition of the nucleotide sequence TGACTCA in cultured rat hippocampal neurons, with concomitant exacerbation of the ability of NMDA to increase intracellular free Ca 2+ levels as determined by fluorescence imaging (10).…”
Abstract.We have previously shown a marked but transient increase in DNA binding of the nuclear transcription factor activator protein-1 after brief exposure to static magnetic fields in cultured rat hippocampal neurons, suggesting that exposure to static magnetism would lead to long-term consolidation as well as amplification of different functional alterations through modulation of de novo protein synthesis at the level of gene transcription in the hippocampus. Hippocampal neurons were cultured under sustained exposure to static magnetic fields at 100 mT, followed by extraction of total RNA for differential display (DD) analysis using random primers. The first and the second DD polymerase chain reaction similarly showed the downregulation of particular genes in response to sustained magnetism. Nucleotide sequence analysis followed by BLASTN homology searching revealed high homology of these 2 DD-PCR products to the 3' non-coding regions of the mouse basic helix-loop-helix transcription factor ALF1 and that of histone H3.3A, respectively. On Northern blot analysis using the 2 cloned differentially expressed fragments labeled with [α-32 P]dCTP by the random primer method, a marked decrease was seen in expression of mRNA for ALF1 and histone H3.3A in hippocampal neurons cultured under sustained exposure to static magnetic fields at 100 mT. It thus appears that static magnetism may modulate cellular integrity and functionality through expression of a variety of responsive genes required for gene transcription and translation, proliferation, differentiation, maturation, survival, and so on in cultured rat hippocampal neurons.
“…a. aufgrund der komplexen Interaktionen alle relevanten Monoamine und andere Neurotransmitter beeinflussen kann, die b. über Autorezeptoren Rückwirkungen auf die eigene Transmission besitzt und c. unter anderem über "second messenger" -offenbar verzögert -Prozesse im Zellinneren anstößt[93,94], die im Erfolgsfall zu einer Remission beitragen.Dabei unterscheiden sich Patienten offenbar in ihrer Sensibilität für spezifisch serotoninerge bzw. grundsätzlich für monoaminerge Interventionen[95]; ein Erfolg der Therapie ist allerdings nicht Ausdruck davon, dass vorher ein Serotoninmangel vorgelegen haben muss[96].…”
ZusammenfassungEs kommt selten vor, dass ein neurochemisches Thema ausführlich in einem Zeitungsartikel behandelt wird. Am 8. November 2022 stellte die New York Times fest: Antidepressiva wirken nicht so, wie viele Menschen denken. Die Wirksamkeit der selektiven Serotonin-Rückaufnahme-Inhibitoren (SSRI) wird in dem Artikel anerkannt; allerdings würden die SSRIs nicht deswegen wirken, weil sie eine „chemische Imbalance“ korrigierten.In diesem Artikel sollen die Grundlagen der Wirkungsweise von Serotonin-Rückaufnahme-Inhibitoren dargestellt und im Zusammenhang mit der oben erwähnten Debatte diskutiert werden.
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