Literature DB >> 17580122

Patterns of beauty--omics meets plant development.

Lars Hennig1.   

Abstract

Developmental biology aims to identify mechanisms that govern cell proliferation and differentiation in the body plan formation of multicellular organisms. In the past, developmental biologists described how anatomy and morphology are established during ontogenesis, and developmental geneticists identified many developmental regulators. In contrast to the traditional approaches that mostly focus on one or a few genes at a time, highly parallel profiling technologies have been developed for use in biological research over the past decade. Such parallel profiling technologies probe many genes, transcripts, proteins or metabolites at once. In this review, I discuss the growing impact of transcriptomics, proteomics, metabolomics and modelling on plant developmental biology. Novel profiling technologies will not make traditional gene-centred approaches obsolete but should instead complement forward developmental genetics.

Mesh:

Year:  2007        PMID: 17580122     DOI: 10.1016/j.tplants.2007.05.002

Source DB:  PubMed          Journal:  Trends Plant Sci        ISSN: 1360-1385            Impact factor:   18.313


  10 in total

Review 1.  Gene expression analysis, proteomics, and network discovery.

Authors:  Sacha Baginsky; Lars Hennig; Philip Zimmermann; Wilhelm Gruissem
Journal:  Plant Physiol       Date:  2009-12-11       Impact factor: 8.340

2.  System analysis of an Arabidopsis mutant altered in de novo fatty acid synthesis reveals diverse changes in seed composition and metabolism.

Authors:  Mingjie Chen; Brian P Mooney; Martin Hajduch; Trupti Joshi; Mingyi Zhou; Dong Xu; Jay J Thelen
Journal:  Plant Physiol       Date:  2009-03-11       Impact factor: 8.340

3.  AGRONOMICS1: a new resource for Arabidopsis transcriptome profiling.

Authors:  Hubert Rehrauer; Catharine Aquino; Wilhelm Gruissem; Stefan R Henz; Pierre Hilson; Sascha Laubinger; Naira Naouar; Andrea Patrignani; Stephane Rombauts; Huan Shu; Yves Van de Peer; Marnik Vuylsteke; Detlef Weigel; Georg Zeller; Lars Hennig
Journal:  Plant Physiol       Date:  2009-12-23       Impact factor: 8.340

4.  iTRAQ-based quantitative proteomic analysis reveals dynamic changes during daylily flower senescence.

Authors:  Guangying Ma; Xiaohua Shi; Qingcheng Zou; Danqing Tian; Xia An; Kaiyuan Zhu
Journal:  Planta       Date:  2018-06-26       Impact factor: 4.116

5.  Identification and Characterization of the Sucrose Synthase 2 Gene (Sus2) in Durum Wheat.

Authors:  Mariateresa Volpicella; Immacolata Fanizza; Claudia Leoni; Agata Gadaleta; Domenica Nigro; Bruno Gattulli; Giacomo Mangini; Antonio Blanco; Luigi R Ceci
Journal:  Front Plant Sci       Date:  2016-03-10       Impact factor: 5.753

6.  Transcriptomic Insight into Underground Floral Differentiation in Erythronium japonicum.

Authors:  Hongtao Wang; Lifan Zhang; Peng Shen; Xuelian Liu; Rengui Zhao; Junyi Zhu
Journal:  Biomed Res Int       Date:  2022-01-18       Impact factor: 3.411

7.  Sorting signals, N-terminal modifications and abundance of the chloroplast proteome.

Authors:  Boris Zybailov; Heidi Rutschow; Giulia Friso; Andrea Rudella; Olof Emanuelsson; Qi Sun; Klaas J van Wijk
Journal:  PLoS One       Date:  2008-04-23       Impact factor: 3.240

8.  Proteomics analysis of MKN45 cell line before and after treatment with Lavender aqueous extract.

Authors:  Mona Zamanian-Azodi; Mostafa Rezaie-Tavirani; Saeid Heydari-Kashal; Shiva Kalantari; Sona Dailian; Hakimeh Zali
Journal:  Gastroenterol Hepatol Bed Bench       Date:  2012

9.  Planting Season Impacts Sugarcane Stem Development, Secondary Metabolite Levels, and Natural Antisense Transcription.

Authors:  Maryke Wijma; Carolina Gimiliani Lembke; Augusto Lima Diniz; Luciane Santini; Leonardo Zambotti-Villela; Pio Colepicolo; Monalisa Sampaio Carneiro; Glaucia Mendes Souza
Journal:  Cells       Date:  2021-12-08       Impact factor: 6.600

10.  NMR spectroscopy analysis reveals differential metabolic responses in arabidopsis roots and leaves treated with a cytokinesis inhibitor.

Authors:  Thomas E Wilkop; Minmin Wang; Angelo Heringer; Jaideep Singh; Florence Zakharov; Viswanathan V Krishnan; Georgia Drakakaki
Journal:  PLoS One       Date:  2020-11-06       Impact factor: 3.752

  10 in total

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