scholarly journals Class B Gene Expression and the Modified ABC Model in Nongrass Monocots

2007 ◽  
Vol 2 ◽  
pp. 17-28 ◽  
Author(s):  
Akira Kanno ◽  
Mutsumi Nakada ◽  
Yusuke Akita ◽  
Masayo Hirai
Keyword(s):  
Gene Expression ◽  
Abc Model ◽  
Class B ◽  
Class B Gene ◽  
Modified Abc Model

scholarly journals Class B Gene Expression and the Modified ABC Model in Nongrass Monocots

2007 ◽  
Vol 7 ◽  
pp. 268-279 ◽  
Author(s):  
Akira Kanno ◽  
Mutsumi Nakada ◽  
Yusuke Akita ◽  
Masayo Hirai
Keyword(s):  
Gene Expression ◽  
Molecular Mechanisms ◽  
Floral Morphology ◽  
Expression Patterns ◽  
Abc Model ◽  
Mads Box ◽  
Class B ◽  
Mads Box Gene ◽  
Class B Gene ◽  
Modified Abc Model

The discovery of the MADS-box genes and the study of model plants such as Arabidopsis thaliana and Antirrhinum majus have greatly improved our understanding of the molecular mechanisms driving the diversity in floral development. The class B genes, which belong to the MADS-box gene family, are important regulators of the development of petals and stamens in flowering plants. Many nongrass monocot flowers have two whorls of petaloid organs, which are called tepals. To explain this floral morphology, the modified ABC model was proposed. This model was exemplified by the tulip, in which expansion and restriction of class B gene expression is linked to the transition of floral morphologies in whorl 1. The expression patterns of class B genes from many monocot species nicely fit this model; however, those from some species, such as asparagus, do not. In this review, we summarize the relationship between class B gene expression and floral morphology in nongrass monocots, such as Liliales (Liliaceae) and Asparagales species, and discuss the applicability of the modified ABC model to monocot flowers.

scholarly journals Expression Pattern of Class B Gene PAP3 in Flower Development of Pepper

2013 ◽  
Vol 14 (12) ◽  
pp. 24643-24655
Author(s):  
Xin Li ◽  
Chen Liu ◽  
Fengjiao Da ◽  
Ning Ma ◽  
Huolin Shen
Keyword(s):  
Expression Pattern ◽  
Flower Development ◽  
Class B ◽  
Class B Gene

scholarly journals Feedback Inhibition of Human Scavenger Receptor Class B Type I Gene Expression by Glucocorticoid in Adrenal and Ovarian Cells

Endocrinology ◽  
2010 ◽  
Vol 151 (7) ◽  
pp. 3214-3224 ◽  
Author(s):  
Sofia Mavridou ◽  
Maria Venihaki ◽  
Olga Rassouli ◽  
Christos Tsatsanis ◽  
Dimitris Kardassis
Keyword(s):  
Gene Expression ◽  
Gene Transcription ◽  
Feedback Inhibition ◽  
Steroid Hormone ◽  
Scavenger Receptor ◽  
Type I ◽  
Mrna Levels ◽  
Ovarian Cells ◽  
Scavenger Receptor Class ◽  
Class B

Scavenger receptor class B type I (SR-BI) facilitates the reverse transport of excess cholesterol from peripheral tissues to the liver via high-density lipoproteins. In steroidogenic tissues, SR-BI supplies cholesterol for steroid hormone production. We show here that the transcription of the human SR-BI gene is subject to feedback inhibition by glucocorticoid in adrenal and ovarian cells. SR-BI mRNA levels were increased in adrenals from corticosterone-insufficient Crh−/− mice, whereas corticosterone replacement by oral administration inhibited SR-BI gene expression in these mice. SR-BI mRNA levels were increased in adrenals from wild-type mice treated with metyrapone, a drug that blocks corticosterone synthesis. Experiments in adrenocortical H295R and ovarian SKOV-3 cells using cycloheximide and siRNA-mediated gene silencing revealed that glucocorticoid-mediated inhibition of SR-BI gene transcription requires de novo protein synthesis and the glucocorticoid receptor (GR). No direct binding of GR to the SR-BI promoter could be demonstrated in vitro and in vivo, suggesting an indirect mechanism of repression of SR-BI gene transcription by GR in adrenal cells. Deletion analysis established that the region of the human SR-BI promoter between nucleotides −201 and −62 is sufficient to mediate repression by glucocorticoid. This region contains putative binding sites for transcriptional repressors that could play a role in SR-BI gene regulation in response to glucocorticoid. In summary, this is the first report showing that glucocorticoid suppress SR-BI expression suggesting that steroidogenic tissues maintain steroid hormone homeostasis by prohibiting SR-BI-mediated high-density lipoprotein cholesterol uptake when the endogenous levels of glucocorticoid are elevated.

scholarly journals MODEL ABC MULTI-CRITERIA INVENTORY CLASSIFICATION (MCIC) MENGGUNAKAN PEMROGRAMAN LINEAR PADA PRODUK KIMIA

2019 ◽  
Vol 3 (2) ◽  
pp. 106-118
Author(s):  
Eko Pratomo (Politeknik APP - Indonesia)
Keyword(s):  
Linear Programming ◽  
Lead Time ◽  
Multiple Criteria ◽  
Traditional Model ◽  
Abc Model ◽  
Linear Programming Method ◽  
Inventory Policies ◽  
Chemical Product ◽  
Class A ◽  
Class B

Abstract In order to maintain their inventory efficiently, enterprises need to prioritize inventory policies considering multiple criteria. A Multi Criteria Inventory Classification (MCIC) is one of the most effective techniques widely used to classify inventory. In this paper, multiple criteria (annual value, lead time, cost per unit) are considered on ABC inventory classification. The aim of this study is classify products considering those multiple criteria. Multiple criteria ABC Classifications methodology developed by Ramanathan-Model and Ng-Model are used and compared with traditional method. Data are collected from annual chemical product transaction on PT XYZ during 2018. In this paper, linear programming method is used to solve ABC MCIC Model. The result of this study show that 12 items (14%) are identified as Class A, 26 items (30%) as class B and the remaining 48 items (56%) as C Class. In our conclution, we propose inventory policies based on the result of the ABC Models. Keywords: ABC Model; MCIC; Traditional Model; Ramanathan-Model; Ng-Model; Linear Programming; Chemical Product.Abstrak Dalam mengelola persediaan secara efisien, perusahaan perlu menentukan prioritas pengelolaan persediaan dengan mempertimbangkan beberapa kriteria. Klasifikasi ABC Multi Kriteria (MCIC) merupakan model klasifikasi persediaan barang yang umum digunakan oleh perusahaan dalam mengelola persediaan dalam jumlah besar. Penelitian ini menggunakan multi kriteria berupa nilai total produk, lead time dan biaya per unit. Tujuan penelitian adalah mengelompokan jenis/kelas barang sesuai dengan tingkat kepentingan dengan mempertimbangkan multi kriteria.  Metode Multi kriteria yang telah dikembangkan oleh Ramanathan-Model dan Ng-Model dibandingkan dengan hasil klasifikasi Single criteria ABC (Traditional model). Data yang digunakan adalah data tahunan transaksi produk kimia PT XYZ di tahun 2018. Penyelesaian model ABC multi kriteria (MCIC) dengan pemrograman linear. Terdapat 86 items produk kimia yang diklasifikasikan dengan hasil klasifikasi A sejumlah 12 item (14%), B sejumlah 26 item (30%) dan item C sejumlah 48 item (56%). Pada penelitan ini juga disampaikan kebijakan inventory masing-masing kelas berdasarkan hasil klasifikasi ABC model yang telah dilakukan.Kata Kunci: Model ABC; MCIC; Model tradisional; Model Ramanathan; Model Ng; Pemrograman Linear; Produk kimia.

The modified ABC model explains the development of the petaloid perianth of Agapanthus praecox ssp. orientalis (Agapanthaceae) flowers

2005 ◽  
Vol 58 (3) ◽  
pp. 435-445 ◽  
Author(s):  
Toru Nakamura ◽  
Tatsuya Fukuda ◽  
Masaru Nakano ◽  
Mitsuyasu Hasebe ◽  
Toshiaki Kameya ◽  
...  
Keyword(s):  
Abc Model ◽  
Agapanthus Praecox ◽  
Modified Abc Model

scholarly journals Splice factors and intron sequences involved in alternative splicing of Scavenger Receptor Class B gene

2007 ◽  
Vol 21 (5) ◽  
Author(s):  
Xiaohui Zhang ◽  
Andrea N Moor ◽  
Kathleen A Merkler ◽  
Qiyuan Liu ◽  
Mark P McLean
Keyword(s):  
Alternative Splicing ◽  
Scavenger Receptor ◽  
Scavenger Receptor Class ◽  
Class B ◽  
Class B Gene

Pistillody is caused by alterations to the class-B MADS-box gene expression pattern in alloplasmic wheats

Planta ◽  
2004 ◽  
Vol 218 (5) ◽  
pp. 712-720 ◽  
Author(s):  
Shigeo Takumi ◽  
Koji Murai ◽  
Eriko Hama ◽  
Yasunari Ogihara
Keyword(s):  
Gene Expression ◽  
Expression Pattern ◽  
Gene Expression Pattern ◽  
Mads Box ◽  
Class B ◽  
Mads Box Gene
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