Relevant bibliographies by topics / Transcript

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Academic literature on the topic 'Transcript'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 June 2025

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Journal articles on the topic "Transcript"

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Wilfinger, William W., Hamid R. Eghbalnia, Karol Mackey, Robert Miller, and Piotr Chomczynski. "Whole blood RNA extraction efficiency contributes to variability in RNA sequencing data sets." PLOS ONE 18, no. 11 (2023): e0291209. http://dx.doi.org/10.1371/journal.pone.0291209.

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Numerous methodologies are used for blood RNA extraction, and large quantitative differences in recovered RNA content are reported. We evaluated three archived data sets to determine how extraction methodologies might influence mRNA and lncRNA sequencing results. The total quantity of RNA recovered /ml of blood affects RNA sequencing by impacting the recovery of weakly expressed mRNA, and lncRNA transcripts. Transcript expression (TPM counts) plotted in relation to transcript size (base pairs, bp) revealed a 30% loss of short to midsized transcripts in some data sets. Quantitative recovery of RNA is of considerable importance, and it should be viewed more judiciously. Transcripts common to the three data sets were subsequently normalized and transcript mean TPM counts and TPM count coefficient of variation (CV) were plotted in relation to increasing transcript size. Regression analysis of mean TPM counts versus transcript size revealed negative slopes in two of the three data sets suggesting a reduction of TPM transcript counts with increasing transcript size. In the third data set, the regression slope line of mRNA transcript TPM counts approximates zero and TPM counts increased in proportion to transcript size over a range of 200 to 30,000 bp. Similarly, transcript TPM count CV values also were uniformly distributed over the range of transcript sizes. In the other data sets, the regression CV slopes increased in relation to transcript size. The recovery of weakly expressed and /or short to midsized mRNA and lncRNA transcripts varies with different RNA extraction methodologies thereby altering the fundamental sequencing relationship between transcript size and TPM counts. Our analysis identifies differences in RNA sequencing results that are dependent upon the quantity of total RNA recovery from whole blood. We propose that incomplete RNA extraction directly impacts the recovery of mRNA and lncRNA transcripts from human blood and speculate these differences contribute to the “batch” effects commonly identified between sequencing results from different archived data sets.
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Lee, Jeong Hyun, Na Young Park, Myung Hee Lee, and Sang Ho Choi. "Characterization of the VibriovulnificusputAP Operon, Encoding Proline Dehydrogenase and Proline Permease, and Its Differential Expression in Response to Osmotic Stress." Journal of Bacteriology 185, no. 13 (2003): 3842–52. http://dx.doi.org/10.1128/jb.185.13.3842-3852.2003.

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ABSTRACT The Vibrio vulnificus putAP genes encoding a proline dehydrogenase and a proline permease are transcribed in the same direction. Proline dehydrogenase activity and the level of putA transcript were determined to reach a maximum in exponential phase and were then repressed when growth slowed down. Northern blotting and primer extension analyses revealed that transcription of putAP genes results in two different transcripts, transcript A (putA transcript) and transcript AP (putAP transcript). Expression of putAP genes was directed by two promoters, promoter P putA and promoter P putAP . A crp null mutation decreased proline dehydrogenase activity and the level of the put transcripts, indicating that transcription of putAP is under the positive control of cyclic AMP receptor protein. Proline dehydrogenase and the level of both put transcripts were increased by proline but repressed by glutamate. In contrast, the level of transcript A, not transcript AP, increased when proline dehydrogenase was induced by NaCl. Since P putA activity, not P putAP activity, was increased by NaCl, it is apparent that transcript A and transcript AP are transcribed through P putA and P putAP , respectively. Cells challenged with NaCl and various hyperosmotic stresses accumulated higher levels of glutamate than control cells, indicating that glutamate is a compatible solute in V. vulnificus.
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Raff, J. W., W. G. Whitfield, and D. M. Glover. "Two distinct mechanisms localise cyclin B transcripts in syncytial Drosophila embryos." Development 110, no. 4 (1990): 1249–61. http://dx.doi.org/10.1242/dev.110.4.1249.

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We demonstrate that two independent mechanisms act on maternally derived cyclin B transcripts to concentrate the transcripts at the posterior pole of the Drosophila oocyte and at the cortex of the syncytial embryo. The cortical accumulation occurs because the cyclin B transcript is concentrated around nuclei and comigrates with them to the cortex. The perinuclear localisation of the transcript is blocked by inhibitors of microtubule polymerisation and the transcript colocalises with microtubular structures during the cell cycle, suggesting that the transcript is associated either directly or indirectly with microtubules. Neither microtubules nor actin filaments are required to maintain the posterior concentration of cyclin B transcripts. Instead, this seems to depend on the association of the transcripts with a component of the posterior cytoplasm. The distribution pattern of the transcript at the posterior pole throughout embryogenesis and in a variety of mutant embryos suggests that this component is associated with polar granules.
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Vo, Kevin, Yashica Sharma, Anohita Paul, et al. "Importance of Transcript Variants in Transcriptome Analyses." Cells 13, no. 17 (2024): 1502. http://dx.doi.org/10.3390/cells13171502.

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RNA sequencing (RNA-Seq) has become a widely adopted technique for studying gene expression. However, conventional RNA-Seq analyses rely on gene expression (GE) values that aggregate all the transcripts produced under a single gene identifier, overlooking the complexity of transcript variants arising from different transcription start sites or alternative splicing. Transcript variants may encode proteins with diverse functional domains, or noncoding RNAs. This study explored the implications of neglecting transcript variants in RNA-Seq analyses. Among the 1334 transcription factor (TF) genes expressed in mouse embryonic stem (ES) or trophoblast stem (TS) cells, 652 were differentially expressed in TS cells based on GE values (365 upregulated and 287 downregulated, ≥absolute 2-fold changes, false discovery rate (FDR) p-value ≤ 0.05). The 365 upregulated genes expressed 883 transcript variants. Further transcript expression (TE) based analyses identified only 174 (<20%) of the 883 transcripts to be upregulated. The remaining 709 transcripts were either downregulated or showed no significant changes. Meanwhile, the 287 downregulated genes expressed 856 transcript variants and only 153 (<20%) of the 856 transcripts were downregulated. The other 703 transcripts were either upregulated or showed no significant change. Additionally, the 682 insignificant TF genes (GE values < absolute 2-fold changes and/or FDR p-values > 0.05) between ES and TS cells expressed 2215 transcript variants. These included 477 (>21%) differentially expressed transcripts (276 upregulated and 201 downregulated, ≥absolute 2-fold changes, FDR p-value ≤ 0.05). Hence, GE based RNA-Seq analyses do not represent accurate expression levels due to divergent transcripts expression from the same gene. Our findings show that by including transcript variants in RNA-Seq analyses, we can generate a precise understanding of a gene’s functional and regulatory landscape; ignoring the variants may result in an erroneous interpretation.
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Harris, Rebecca Louise, Carmen Wilma van den Berg, and Derrick John Bowen. "ASGR1 and ASGR2, the Genes that Encode the Asialoglycoprotein Receptor (Ashwell Receptor), Are Expressed in Peripheral Blood Monocytes and Show Interindividual Differences in Transcript Profile." Molecular Biology International 2012 (August 2, 2012): 1–10. http://dx.doi.org/10.1155/2012/283974.

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Background. The asialoglycoprotein receptor (ASGPR) is a hepatic receptor that mediates removal of potentially hazardous glycoconjugates from blood in health and disease. The receptor comprises two proteins, asialoglycoprotein receptor 1 and 2 (ASGR1 and ASGR2), encoded by the genes ASGR1 and ASGR2. Design and Methods. Using reverse transcription amplification (RT-PCR), expression of ASGR1 and ASGR2 was investigated in human peripheral blood monocytes. Results. Monocytes were found to express ASGR1 and ASGR2 transcripts. Correctly spliced transcript variants encoding different isoforms of ASGR1 and ASGR2 were present in monocytes. The profile of transcript variants from both ASGR1 and ASGR2 differed among individuals. Transcript expression levels were compared with the hepatocyte cell line HepG2 which produces high levels of ASGPR. Monocyte transcripts were 4 to 6 orders of magnitude less than in HepG2 but nonetheless readily detectable using standard RT-PCR. The monocyte cell line THP1 gave similar results to monocytes harvested from peripheral blood, indicating it may provide a suitable model system for studying ASGPR function in this cell type. Conclusions. Monocytes transcribe and correctly process transcripts encoding the constituent proteins of the ASGPR. Monocytes may therefore represent a mobile pool of the receptor, capable of reaching sites remote from the liver.
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Dharmani, Prof Aarti, Jaya Yadav, Jiya Shukla, and Chinmai Rane. "YouTube Transcript Summarizer." International Journal of Research Publication and Reviews 5, no. 3 (2024): 7035–39. http://dx.doi.org/10.55248/gengpi.5.0324.0811.

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Jain Jahnavi Jain, Sarthak. "YouTube Transcript Summarizer." International Journal of Science and Research (IJSR) 12, no. 2 (2023): 1107–8. http://dx.doi.org/10.21275/sr23214121307.

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Baldwin, TJ, CM Yoshihara, K. Blackmer, CR Kintner, and SJ Burden. "Regulation of acetylcholine receptor transcript expression during development in Xenopus laevis." Journal of Cell Biology 106, no. 2 (1988): 469–78. http://dx.doi.org/10.1083/jcb.106.2.469.

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The level of transcripts encoding the skeletal muscle acetylcholine receptor (AChR) was determined during embryonic development in Xenopus laevis. cDNAs encoding the alpha, gamma, and delta subunits of the Xenopus AChR were isolated from Xenopus embryo cDNA libraries using Torpedo AChR cDNAs as probes. The Xenopus AChR cDNAs have greater than 60% amino acid sequence homology to their Torpedo homologues and hybridize to transcripts that are restricted to the somites of developing embryos. Northern blot analysis demonstrates that a 2.3-kb transcript hybridizes to the alpha subunit cDNA, a 2.4-kb transcript hybridizes to the gamma subunit cDNA, and that two transcripts, of 1.9 and 2.5 kb, hybridize to the delta subunit cDNA. RNase protection assays demonstrate that transcripts encoding alpha, gamma, and delta subunits are coordinately expressed at late gastrula and that the amount of each transcript increases in parallel with muscle-specific actin mRNA during the ensuing 12 h. After the onset of muscle activity the level of actin mRNA per somite remains relatively constant, whereas the level of alpha subunit and delta subunit transcripts decrease fourfold per somite and the level of gamma subunit transcript decreases greater than 50-fold per somite. The decrease in amount of AChR transcripts per somite, however, occurs when embryos are paralyzed with local anaesthetic during their development. These results demonstrate that AChR transcripts in Xenopus are initially expressed coordinately, but that gamma subunit transcript levels are regulated differently than alpha and delta at later stages. Moreover, these results demonstrate that AChR transcript levels in Xenopus myotomal muscle cells are not responsive to electrical activity and suggest that AChR transcript levels are influenced by other regulatory controls.
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Sarkar, Hirak, Avi Srivastava, Héctor Corrada Bravo, Michael I. Love, and Rob Patro. "Terminus enables the discovery of data-driven, robust transcript groups from RNA-seq data." Bioinformatics 36, Supplement_1 (2020): i102—i110. http://dx.doi.org/10.1093/bioinformatics/btaa448.

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Abstract Motivation Advances in sequencing technology, inference algorithms and differential testing methodology have enabled transcript-level analysis of RNA-seq data. Yet, the inherent inferential uncertainty in transcript-level abundance estimation, even among the most accurate approaches, means that robust transcript-level analysis often remains a challenge. Conversely, gene-level analysis remains a common and robust approach for understanding RNA-seq data, but it coarsens the resulting analysis to the level of genes, even if the data strongly support specific transcript-level effects. Results We introduce a new data-driven approach for grouping together transcripts in an experiment based on their inferential uncertainty. Transcripts that share large numbers of ambiguously-mapping fragments with other transcripts, in complex patterns, often cannot have their abundances confidently estimated. Yet, the total transcriptional output of that group of transcripts will have greatly reduced inferential uncertainty, thus allowing more robust and confident downstream analysis. Our approach, implemented in the tool terminus, groups together transcripts in a data-driven manner allowing transcript-level analysis where it can be confidently supported, and deriving transcriptional groups where the inferential uncertainty is too high to support a transcript-level result. Availability and implementation Terminus is implemented in Rust, and is freely available and open source. It can be obtained from https://github.com/COMBINE-lab/Terminus. Supplementary information Supplementary data are available at Bioinformatics online.
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Crouse, G. F., E. J. Leys, R. N. McEwan, E. G. Frayne, and R. E. Kellems. "Analysis of the mouse dhfr promoter region: existence of a divergently transcribed gene." Molecular and Cellular Biology 5, no. 8 (1985): 1847–58. http://dx.doi.org/10.1128/mcb.5.8.1847-1858.1985.

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The use of murine dihydrofolate reductase (dhfr) gene amplification mutants enabled us to identify important structural and functional features of the dhfr promoter region. We found another transcription unit, at least 14 kilobases in size, which initiates within 130 base pairs of the major dhfr transcript and is transcribed divergently. The 5' ends of both transcripts were analyzed and found to have multiple initiation sites. The major dhfr transcript and the divergent transcript appear to share the same promoter region; the longer transcripts of the dhfr gene overlap with the divergent transcripts and use a different promoter region. The divergent transcript appears to code for a protein; an homologous sequence to its first exon is found in the corresponding location near the human dhfr gene.
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Dissertations / Theses on the topic "Transcript"

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Playl, Lauren A. "Sry Transcript Expression in Five Adult Male Rat Tissues and Correlation with Acsl3 Transcript Expression." University of Akron / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=akron1290632541.

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Holst, Andy. "Automatic Transcript Generator for Podcast Files." Thesis, Linnaeus University, School of Computer Science, Physics and Mathematics, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-6936.

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<p>In the modern world, Internet has become a popular place, people with speech hearing disabilities and search engines can't take part of speech content in podcast les. In order to solve the problem partially, the Sphinx decoders such as Sphinx-3, Sphinx-4 can be used to implement a Auto Transcript Generator application, by coupling already existing large acoustic model, language model and a existing dictionary, or by training your own large acoustic model, language model and creating your own dictionary to support continuous speaker independent speech recognition system.</p>
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Tripodis, Nicholas. "Physical and transcript map 6p21.2-p21.3." Thesis, King's College London (University of London), 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286740.

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Bechard, Jarrod. "Armet transcript knockdown in Tribolium castaneum." Thesis, Kansas State University, 2014. http://hdl.handle.net/2097/35220.

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Master of Science<br>Biochemistry and Molecular Biophysics Interdepartmental Program<br>Gerald R. Reeck<br>Armet has been found in mammalian systems to be a bi-functional protein that is secreted extracellularly and is also found in the endoplasmic reticulum. It has been shown to be a neurotrophic factor and also a member of the unfolded protein response. Transcript knockdown of Armet via RNA interference in late instar larvae of Tribolium castaneum produces a fatal phenotype during eclosion from pupa to adult. Initial observations of pupae cuticle indicate disorganization of cuticles in insects with the Armet transcript knocked down. Here I expand studies on the effects of dsArmet RNA injection; both in a wild type strain and a fluorescent strain of Tribolium, and discuss possible mechanisms for the fatal phenotype.
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Korostowski, Lisa. "Transcript Regulation within the Kcnq1 Domain." Diss., Temple University Libraries, 2012. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/235191.

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Molecular Biology and Genetics<br>Ph.D.<br>Epigenetics was a term first coined to understand how cells with the same genetic make up can differentiate into various cell types. Elegant research over the past 30 years has shown that these mechanisms include heritable marks such as DNA methylation and histone modifications along with stable expression of non- coding RNAs. Within the realm of epigenetics is a phenomenon known as genomic imprinting. Imprints are marks that distinguish the maternal from the paternal chromosomes in the form of methylation. Methylation marks can influence transcript expression, resulting in only one allele being expressed. One imprinted domain is the Kcnq1 domain located on chromosome 11p15.5 in humans and chromosome 7 in the mouse. This domain is thought to be under the control of a paternally expressed long noncoding RNA (ncRNA) Kcnq1ot1. The Kcnq1ot1 ncRNA is expressed on the paternal chromosome due to a differentially methylation region located within its promoter. The promoter is methylated on the maternal allele thus inhibiting ncRNA expression, whereas the promoter is unmethylated on the paternal allele. In the placenta, a most of the genes located within a one mega-basepair region are exclusively expressed from the maternal chromosome, whereas the transcripts on the paternal chromosome are silenced by the ncRNA. The placenta seems to follow the classic idea of an imprinted domain. However, in the embryo and more specifically, in the embryonic heart, this is not the case. In the embryonic heart, only a 400kb region is restricted to maternal expression. In addition, one the genes, Kcnq1, starts out expressed exclusively from the maternal allele in early development but switches to biallelic expression during mid-gestation. The purpose of my research is to determine the underlying complexities that are involved in the regulation of transcripts within the Kcnq1 domain. This involves the Kcnq1 gene itself, which has been shown to transition from mono- to biallelic expression during mid-gestation and the Kcnq1ot1 ncRNA per se. I hypothesize that regulation by the Kcnq1ot1 ncRNA is not occurring in a uniform manner in the embryo; rather, the amount of regulation by the ncRNA is dependent on the developmental stage and specific tissue. In addition, this regulation involves complex interactions between enhancers, insulators and other regulatory elements to control the amount of silencing by the Kcnq1ot1 ncRNA. First, through a series of experiments looking at the Kcnq1 promoter, the mechanism of Kcnq1 paternal expression was determined. It was confirmed that Kcnq1 becomes biallelic during mid-gestation in the heart. Bisulfite mutagenesis and methylation sensitive chromatin immunoprecipitation were used to test the hypothesis that the Kcnq1 promoter was methylated in early development and then lost its methylation mark. However, a lack of methylation disproved this mechanism of paternal Kcnq1 activation. Rather, chromosome conformation capture (3C) determined that the Kcnq1 promoter interacts in a tissue-specific manner with regions within the domain that have enhancer activity. The role of the ncRNA within our system was also investigated. Interestingly, when Kcnq1ot1 allelic expression was profiled throughout development in heart, it transitioned to biallelic expression during heart development but remained monoallelic in the liver and brain. Several possibilities could account for this phenomenon, including loss of promoter methylation and/or an alternative transcript start site. Both of these options were explored using bisulfite mutagenesis and 5' RACE. However, the Kcnq1ot1 promoter region retained its methylation mark even after the maternal transcript was turned on, disproving this idea. Rather, a maternal specific transcript was found in the heart to start downstream of the CpG islands. Lastly, to gain a better understand of the Kcnq1ot1 ncRNA, experiments were carried out on a mutant mouse in which a truncated form of the ncRNA was transmitted paternally; this is dubbed the "Kterm" mouse. Unexpectedly, Kcnq1 still followed the same mono- to biallelic transition as seen in the wild-type, whereas the head and body counterparts from the same stage embryos were biallelic for Kcnq1. Also, the immediate upstream genes, Cdk1nc and Slc22a18, lost their mono-allelic expression in neonatal heart, liver and brain when the Kterm mutation was transmitted. This suggested that Kcnq1ot1 did not function as a silencer for Kcnq1 paternal expression in the heart, but rather had an alternative and previously unknown function. From qRT-PCR, 3C and ChIP assays, it was determined that the Kcnq1ot1 ncRNA plays a role in regulating Kcnq1 gene expression in the heart by limiting its interaction to specific cis-acting enhancers. When the ncRNA was absent, the Kcnq1 promoter interacted with non-native sites along the domain, possibly causing the increase in transcript expression. This phenomenon was specific to the heart and was not seen in other tissues. These findings showed that Kcnq1 paternal expression is the result of strong developmental and tissue specific enhancers. Chromatin interactions in cis put a strong enhancer in contact with the Kcnq1 promoter to increase its expression in later development. In addition, a truncation mutation model identified a key role for the Kcnq1ot1 ncRNA in regulating Kcnq1 expression. Instead of regulating the imprinting status of Kcnq1, the ncRNA regulates the amount of Kcnq1 transcript being produced in the heart by regulating chromatin interactions. Finally, these studies identified a maternally expressed Kcnq1ot1 transcript whose role in heart development is still not fully understood. Taken together, these findings support a model where an inhibitory factor(s) silence the paternal Kcnq1 transcript and maternal Kcnq1ot1 transcript and in later development, this factor is released allowing for expression and chromatin interactions to occur.<br>Temple University--Theses
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Traulsen, Kathryn E. A. "Towards a transcript map of 4q32--q34." Thesis, University of Ottawa (Canada), 2003. http://hdl.handle.net/10393/26406.

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With the completion of the sequencing of the human genome near, the next phase will be to identify and annotate all transcriptional units. We have utilized a procedure that directly selects cDNA from genomic DNA in order to isolate putative transcriptional units for identification of novel genes at the 4q34 locus. In this procedure, cDNA fragments were isolated following the hybridization of cDNA pools to 7 BAC clones spanning the 4q34 region. The 4q34 region is approximately 2.0 Mb and contains 7 known genes and 8 predicted genes. In addition, EST evidence annotated in the public databases supports the notion that there are additional transcriptional units in this region. The primary cDNA pool used in this procedure was generated with a universal primer for amplification and cloning. Approximately 350 clones were analyzed by automated fluorescence sequencing and 26 clones were shown to originate from DNA at the 4q34 locus. The other clones included rRNA, mitochondrial DNA, repetitive sequences and low-copy repeat elements, similar to the results obtained in comparable cDNA selection attempts. The tentative transcriptional units have been arranged on the current map of the 4q34 region. This map will provide insight into the organization and function of this chromosome, and provide the preliminary framework for a detailed transcription map of the region. Furthermore, novel gene identification at this locus will provide candidates for Parkinson's disease, which has been mapped to this region by our laboratory.
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Ferrasi, Adriana Camargo [UNESP]. "Transcript finishing initiative: contribuição do laboratório IL2." Universidade Estadual Paulista (UNESP), 2003. http://hdl.handle.net/11449/87745.

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Made available in DSpace on 2014-06-11T19:23:00Z (GMT). No. of bitstreams: 0 Previous issue date: 2003-02-25Bitstream added on 2014-06-13T20:49:45Z : No. of bitstreams: 1 ferrasi_ac_me_rcla.pdf: 2629180 bytes, checksum: c178eeb179f2c77ab45bfcddeb648f51 (MD5)<br>O principal objetivo na análise de um genoma é a identificação gênica. Várias ferramentas computacionais estão disponíveis para este propósito e são baseadas em similaridade (BLAST e BLAT) ou em predição de genes (Genscan e Fgenes). Entretanto, estes programas estão se mostrando ineficientes para detectar e caracterizar todos os genes presentes no genoma humano. A importância das informações de cDNAs tem sido reconhecida desde o início do Projeto Genoma Humano, entretanto, o seqüenciamento em larga escala de cDNAs completos ainda requer técnicas avançadas tais como a produção de bibliotecas de cDNAs enriquecidas por transcritos grandes e raros. O seqüenciamento parcial de etiquetas de seqüências expressas (ESTs) foi desenvolvido como uma técnica alternativa para gerar, em larga escala, vários tipos de cDNAs. Atualmente, a maioria das informações de cDNAs no GenBank são representadas por ESTs convencionais 3þ e 5þ e ORESTES (provenientes das porções centrais dos transcritos). Baseados nos bancos de dados gerados pelo alinhamento de todas essas seqüências com as seqüências genômicas humanas disponíveis foi proposta a estratégia transcript finishing para a caracterização e validação de novos genes humanos, como parte do consórcio entre FAPESP e Instituto Ludwig de Pesquisa sobre o Câncer. O projeto Transcript Finishing Initiative está sendo realizado por uma rede de 31 diferentes grupos de pesquisa do Estado de São Paulo. Foram selecionados pela coordenação do projeto, 602 transcritos e destes 300 (50%) foram validados. Destes transcritos, 20 foram atribuídos ao laboratório validador IL2, e destes, 11 (55%) foram validados. Utilizando ferramentas de bioinformática, o laboratório IL2 realizou uma anotação preliminar dos consensos de seus transcritos validados (disponibilizados pela coordenação do projeto)... .<br>A fundamental task in analyzing genome is gene identification. This is relatively straightforward for compact genome but much more challenging for complex genomes. Some computational tools are available for this purpose, but they are bases on similarity (BLAST) or prediction analysis (Genscan and Fgenes). However, these programs are inefficient to detect and characterize all genes present in the genome. The importance of cDNA information has been recognized since the beginning of the Human Genome Project, however cost-effective and hightroughput sequencing of full-length cDNA still requires technical advances such as the production of cDNA libraries enriched for large and rare transcripts. Partial sequencing of expressed sequences (EST) has been developed as an alternative approach for the generation, in large-scale, of several kinds of cDNAs. Currently, the vast majority of cDNA data in the GenBank is represented both by conventional 5þand 3þexpressed sequence tags (ESTs) and by ORESTES (open reading frame ESTs), which is derived from central portions of the transcripts. Based on a database generated through alignment of all of these sequences to the available human genomic sequences, have been proposed the transcript finishing strategy for characterization and validation of new human genes, as part of the FAPESP-LICR Transcript Finishing Initiative. The strategy utilizes the ORESTES scaffold EST sequence to build primers for reverse transcription (RT) - PCR reactions in order to bridge gaps, thereby confirming the membership of ESTs to a common transcript and providing information on the intervening sequence (validation strategy). The FAPESP-LICR Transcript Finishing Initiative is being pursed by a network of 31 different research groups from the State of São Paulo (The Transcript Finishing Consortium) coordinated by 2 different laboratories... (Complete abstract click electronic address below).
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Akter, Parvis. "Transcript mapping in human cytomegalovirus strain AD169." Thesis, University of Glasgow, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.394827.

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Ferrasi, Adriana Camargo. ""Transcript finishing initiative" : contribuição do laboratório IL2 /." Rio Claro : [s.n.], 2003. http://hdl.handle.net/11449/87745.

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Orientador: Maria Inês de Moura Campos Pardini<br>Banca: Maurício Bacci Junior<br>Banca: Magaly Machado Sales<br>Resumo: O principal objetivo na análise de um genoma é a identificação gênica. Várias ferramentas computacionais estão disponíveis para este propósito e são baseadas em similaridade (BLAST e BLAT) ou em predição de genes (Genscan e Fgenes). Entretanto, estes programas estão se mostrando ineficientes para detectar e caracterizar todos os genes presentes no genoma humano. A importância das informações de cDNAs tem sido reconhecida desde o início do Projeto Genoma Humano, entretanto, o seqüenciamento em larga escala de cDNAs completos ainda requer técnicas avançadas tais como a produção de bibliotecas de cDNAs enriquecidas por transcritos grandes e raros. O seqüenciamento parcial de etiquetas de seqüências expressas (ESTs) foi desenvolvido como uma técnica alternativa para gerar, em larga escala, vários tipos de cDNAs. Atualmente, a maioria das informações de cDNAs no GenBank são representadas por ESTs convencionais 3þ e 5þ e ORESTES (provenientes das porções centrais dos transcritos). Baseados nos bancos de dados gerados pelo alinhamento de todas essas seqüências com as seqüências genômicas humanas disponíveis foi proposta a estratégia "transcript finishing" para a caracterização e validação de novos genes humanos, como parte do consórcio entre FAPESP e Instituto Ludwig de Pesquisa sobre o Câncer. O projeto "Transcript Finishing Initiative" está sendo realizado por uma rede de 31 diferentes grupos de pesquisa do Estado de São Paulo. Foram selecionados pela coordenação do projeto, 602 transcritos e destes 300 (50%) foram validados. Destes transcritos, 20 foram atribuídos ao laboratório validador IL2, e destes, 11 (55%) foram validados. Utilizando ferramentas de bioinformática, o laboratório IL2 realizou uma anotação preliminar dos consensos de seus transcritos validados (disponibilizados pela coordenação do projeto)... (Resumo completo, clicar acesso eletrônico abaixo).<br>Abstract: A fundamental task in analyzing genome is gene identification. This is relatively straightforward for compact genome but much more challenging for complex genomes. Some computational tools are available for this purpose, but they are bases on similarity (BLAST) or prediction analysis (Genscan and Fgenes). However, these programs are inefficient to detect and characterize all genes present in the genome. The importance of cDNA information has been recognized since the beginning of the Human Genome Project, however cost-effective and hightroughput sequencing of full-length cDNA still requires technical advances such as the production of cDNA libraries enriched for large and rare transcripts. Partial sequencing of expressed sequences (EST) has been developed as an alternative approach for the generation, in large-scale, of several kinds of cDNAs. Currently, the vast majority of cDNA data in the GenBank is represented both by conventional 5þand 3þexpressed sequence tags (ESTs) and by ORESTES (open reading frame ESTs), which is derived from central portions of the transcripts. Based on a database generated through alignment of all of these sequences to the available human genomic sequences, have been proposed the transcript finishing strategy for characterization and validation of new human genes, as part of the FAPESP-LICR Transcript Finishing Initiative. The strategy utilizes the ORESTES scaffold EST sequence to build primers for reverse transcription (RT) - PCR reactions in order to bridge gaps, thereby confirming the membership of ESTs to a common transcript and providing information on the intervening sequence (validation strategy). The FAPESP-LICR Transcript Finishing Initiative is being pursed by a network of 31 different research groups from the State of São Paulo (The Transcript Finishing Consortium) coordinated by 2 different laboratories... (Complete abstract click electronic address below).<br>Mestre
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Wollmann, Heike. "MiRNA targeting mechanisms - translation inhibition versus transcript cleavage /." Tübingen, 2009. http://opac.nebis.ch/cgi-bin/showAbstract.pl?sys=000251923.

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Books on the topic "Transcript"

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Bäcker, Heimrad. Transcript. Dalkey Archive Press, 2010.

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Force, Maryland US 301 Transportation Study Task. Public hearing transcript. State Highway Administration, 1996.

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McNab, Rosi. Lernexpress 1: Transcript. BBC/Longman, 1991.

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NACA Educational Foundation (U.S.). Commission for Student Development. Cocurricular transcript resource manual. National Association for Campus Activities Educational Foundation, 1996.

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Alberta. Legislative Assembly. Select Special Committee on Constitutional Reform. Subcommittee A. Transcript of public hearings. Alberta Hansard, 1991.

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Alberta. Legislative Assembly. Select Special Committee on Constitutional Reform. Subcommittee B. Transcript of public hearings. Alberta Hansard, 1991.

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Alt, Martha Naomi. Procedures guide for transcript studies. U.S. Dept. of Education, Office of Educational Research and Improvement, National Center for Education Statistics, 1999.

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Washington State Library. Electronic State Publications. and Washington (State). State Board of Education., eds. Transcript frequently asked questions (FAQs). Washington State Board of Education, 2003.

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Alaska. Superior Court (1st Judicial District). Transcript of Grand Jury proceedings. J & R Associates, 1985.

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1942-, Muntadas, MIT List Visual Arts Center., and Wexner Center for the Arts., eds. Between the frames: Interview transcript. Wexner Center for the Arts, Ohio State University, 1994.

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Book chapters on the topic "Transcript"

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O’Hara, James E., Igor UsUpensky, N. J. Bostanian, et al. "Transcript." In Encyclopedia of Entomology. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6359-6_2505.

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Rattenbury, Kester, and Samantha Hardingham. "Transcript." In Robert Venturi and Denise Scott Brown: Learning from Las Vegas. Routledge, 2024. http://dx.doi.org/10.4324/9781003572473-8.

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Selke, Stefan. "2.5 Futurisierungszwang." In Edition transcript. transcript Verlag, 2023. http://dx.doi.org/10.14361/9783839469286-013.

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Selke, Stefan. "8.2 Welthaltige Tröstungen." In Edition transcript. transcript Verlag, 2023. http://dx.doi.org/10.14361/9783839469286-049.

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Selke, Stefan. "Einleitung." In Edition transcript. transcript Verlag, 2023. http://dx.doi.org/10.14361/9783839469286-003.

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Selke, Stefan. "1.1 KI als ›Star‹ im Drama der Digitalisierung." In Edition transcript. transcript Verlag, 2023. http://dx.doi.org/10.14361/9783839469286-004.

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Selke, Stefan. "Einleitung." In Edition transcript. transcript Verlag, 2023. http://dx.doi.org/10.14361/9783839469286-022.

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Selke, Stefan. "4.3 Kybernetisches Regieren." In Edition transcript. transcript Verlag, 2023. http://dx.doi.org/10.14361/9783839469286-025.

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Selke, Stefan. "6.4 Jahrmärkte der Hoffnung." In Edition transcript. transcript Verlag, 2023. http://dx.doi.org/10.14361/9783839469286-041.

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Selke, Stefan. "Frontmatter." In Edition transcript. transcript Verlag, 2023. http://dx.doi.org/10.14361/9783839469286-fm.

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Conference papers on the topic "Transcript"

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Gaido, Marco, Sara Papi, Matteo Negri, Mauro Cettolo, and Luisa Bentivogli. "SBAAM! Eliminating Transcript Dependency in Automatic Subtitling." In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.acl-long.201.

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Maiya U, Aneesha Krishna, Akash Reddy V, Geetha S, and Naidila Sadashiv C. "YouTube Transcript Summarization Using Abstractive and Extractive Approaches." In 2024 Second International Conference on Advances in Information Technology (ICAIT). IEEE, 2024. http://dx.doi.org/10.1109/icait61638.2024.10690492.

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Ali, Umar Sathic. "Ask your Transcript: LLM Driven Insights for Academic Advising." In 2024 2nd International Conference on Computing and Data Analytics (ICCDA). IEEE, 2024. https://doi.org/10.1109/iccda64887.2024.10867349.

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LeFevre, Grace, Jordan Hosier, Yu Zhou, and Vijay K. Gurbani. "LLM Selection: Improving ASR Transcript Quality via Zero-Shot Prompting." In SoutheastCon 2025. IEEE, 2025. https://doi.org/10.1109/southeastcon56624.2025.10971586.

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Sharma, Kanishka, Sarthak Srivastava, Harsh Pilania, Pranjal Kumar Maurya, and Ayushi Prakash. "AI-Powered Transcript Summarization and Question Answering for YouTube and Wikipedia." In 2025 2nd International Conference on Computational Intelligence, Communication Technology and Networking (CICTN). IEEE, 2025. https://doi.org/10.1109/cictn64563.2025.10932550.

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Christinat, Yann, and Bernard M. E. Moret. "Inferring Transcript Phylogenies." In 2011 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2011. http://dx.doi.org/10.1109/bibm.2011.11.

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Sadeh, Gil, Lior Wolf, Tal Hassner, Nachum Dershowitz, and Daniel Stokl Ben-Ezra. "Viral transcript alignment." In 2015 13th International Conference on Document Analysis and Recognition (ICDAR). IEEE, 2015. http://dx.doi.org/10.1109/icdar.2015.7333854.

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Kumar, Jitender, Ritu Vashistha, Roop Lal, and Dhrumil Somanir. "YouTube Transcript Summarizer." In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2023. http://dx.doi.org/10.1109/icccnt56998.2023.10308325.

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Vybhavi, Atluri Naga Sai Sri, Laggisetti Valli Saroja, Jahnavi Duvvuru, and Jayanag Bayana. "Video Transcript Summarizer." In 2022 International Mobile and Embedded Technology Conference (MECON). IEEE, 2022. http://dx.doi.org/10.1109/mecon53876.2022.9751991.

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Panthagani, Vijaya Babu, Vijaya Deepika Reddy Duggempudi, Naga Lakshmi Kommera, and Nikhita Vakkalagadda. "Youtube Transcript Summarizer." In 2024 5th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI). IEEE, 2024. http://dx.doi.org/10.1109/icmcsi61536.2024.00141.

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Reports on the topic "Transcript"

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Gillilan, Justin. RCT Continuing Training 3rd Quarter 2021Presentation Transcript. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1812647.

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Evans, G. A. Transcript map of human chromosome 11. Progress report. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/639718.

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Gillilan, Justin. RCT 4th Quarter 2021 Continuing Training Presentation Transcript. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1827536.

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Gillilan, Justin. RCT Continuing Training 1st Quarter 2022 Presentation Transcript. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1838282.

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Hendricks, Lutz, and Oksana Leukhina. The Return to College: Selection and Dropout Risk. Federal Reserve Bank of St. Louis, 2018. http://dx.doi.org/10.20955/wp.2018.039.

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This article studies the effect of graduating from college on lifetime earnings. We develop a quantitative model of college choice with uncertain graduation. Departing from much of the literature, we model in detail how students progress through college. This allows us to parameterize the model using transcript data. College transcripts reveal substantial and persistent heterogeneity in students' credit accumulation rates that are strongly related to graduation outcomes. From these data, the model infers a large ability gap between college graduates and high school graduates that accounts for 59% of the college lifetime earnings premium.
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Pentz, Ed, Ginny Hendricks, Bryan Vickery, Lucy Ofiesh, and Geoffrey Bilder. Crossref Annual Meeting LIVE21. Chair Rosa Morais Clark. Crossref, 2021. http://dx.doi.org/10.13003/s0slxfq.

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The Crossref annual meeting and board election took place on November 9th, 2021, online. The outputs include slide deck, transcript of Q&amp;A, recording, and recording transcript (all in English). The content includes strategic updates from our leadership team as well as the results of the board election.
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Pentz, Ed, Ginny Hendricks, Bryan Vickery, and Lucy Ofiesh. Crossref Annual Meeting LIVE20. Chair Rosa Morais Clark. Crossref, 2020. http://dx.doi.org/10.13003/5gq8v1q.

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The Crossref annual meeting and board election took place on November 10th, 2020, online. The outputs include slide deck, transcript of Q&amp;A, recording, and recording transcript (all in English). The content includes key updates and statistics from the leadership team as well as the results of the board election.
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John, Bouckk, Michael McLeod, Kim Worley, and Richard Gibbs. The Human Transcript Database: A Catalogue of Full Length cDNA Inserts. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/837877.

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PETRAKIS, L. RENDERING ASBESTOS HARMLESS. TRANSCRIPT OF 339TH BROOKHAVEN LECTURE. OCTOBER 21, 1998. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/758991.

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สุขหร่อง, สุชาดา, та วรวุฒิ จุฬาลักษณานุกูล. โครงการ การศึกษาคุณสมบัติการกระตุ้นทางชีวภาพของน้ำหมักชีวภาพจากพืชต่อความทนทานภายใต้สภาวะเครียดจากออกซิเดชันในข้าว : รายงานวิจัยฉบับสมบูรณ์. คณะเภสัชศาสตร์ จุฬาลงกรณ์มหาวิทยาลัย, 2009. http://dx.doi.org/10.58837/chula.res.2009.3.

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งานวิจัยนี้สามารถแยกเชื้อแบคทีเรียกลุ่มที่สังเคราะห์แสงจากดินและน้ำหมักจากฟางข้าวในแปลงเกษตรอินทรีย์ได้ ซึ่งได้แก่เชื้อ Rhodopseudomanas palustris ไอโซเลทที่ 59 ที่สามารถสร้างสาร 5-aminolevulinic acid (ALA) ที่มีรายงานว่าเป็นสารที่มีประโยชน์กับพืช และนำไปใช้ในการผลิตน้ำหมักชีวภาพจากพืช โดยสามารถใช้สาร ALA นี้เป็นสารเครื่องหมาย (marker) ในการควบคุมคุณภาพของน้ำหมักชีวภาพ การเจือจางน้ำหมักชีวภาพที่ความเข้มข้น 1:500 เป็นสัดส่วนที่เหมาะสมที่สุดในการเป็นตัวกระตุ้นทางชีวภาพซึ่งทำให้ข้าวมีความสูง การเจริญเติบโต การงอก ความยาวราก และดัชนีการงอกของเมล็ดข้าวดีกว่ากลุ่มควบคุมที่ใช้น้ำเปล่า ผลของน้ำหมักชีวภาพที่มีต่อความทนทานของข้าวภายใต้สภาวะเครียดจากออกซิเดชันโดยการเหนี่ยวนำจากสารเคมี aminotriazole (AT) buthionine sulfoximine (BSO) และ methyl viologen (MV) โดยวัดการทำงานของเอนไซม์แอนติออกซิแดนท์และการเปลี่ยนแปลงของการแสดงออกของยีน superoxide dismutase (SOD), ascorbate peroxidase (APX), และ catalase (CAT) พบว่าสามารถเหนี่ยวนำต้นข้าวอ่อนให้เกิดสภาวะเครียดจากออกซิเดชันสารเคมีได้โดยการใช้สารเคมี ถึงแม้ว่าจะสังเกตเห็นลักษณะที่ทนทานทาง phenotype ได้ไม่ชัดเจนในต้นข้าวอ่อนกลุ่มที่ได้รับและไม่ได้รับการ pretreat ด้วยน้ำหมักชีวภาพเมื่อถูกเหนี่ยวนำให้เกิดความเครียด แต่ได้มีการเปลี่ยนแปลงในระดับของยีนและเอนไซม์กลุ่มต้านออกซิเดชัน ต้นข้าวอ่อนกลุ่มที่ได้รับการ pretreat ด้วยน้ำหมักชีวภาพก่อนพบว่ามีระดับ transcript ของยีนและการทำงานของเอนไซม์ SOD APX และ CAT สูงอยู่ก่อนแล้ว ต้นข้าวอ่อนกลุ่มนี้มีการตอบสนองต่อสารเคมีที่ใช้เหนี่ยวนำให้เกิดความเครียดได้ไวกว่ากลุ่มที่ไม่ได้รับการ pretreat ด้วยน้ำหมักชีวภาพ เหมือนเป็นการเตรียมพร้อมให้กับต้นข้าวอ่อน เมื่อเวลาผ่านไประดับของ transcript และการทำงานของเอนไซม์จะลดลงสู่สภาวะปกติได้เร็วกว่า ชี้ให้เห็นว่าเมื่อต้นข้าวอ่อนกลุ่มที่ได้รับการ pretreat ด้วยน้ำหนักชีวภาพสามารถที่จะกระตุ้นกลไกการป้องกันตนเองให้จัดการกับภาวะเครียดได้อย่างรวดเร็วและลดลงสู่สภาวะปกติได้เร็ว
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