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      Identification of New Genes Involved in Human Adipogenesis and Fat Storage

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          Abstract

          Since the worldwide increase in obesity represents a growing challenge for health care systems, new approaches are needed to effectively treat obesity and its associated diseases. One prerequisite for advances in this field is the identification of genes involved in adipogenesis and/or lipid storage. To provide a systematic analysis of genes that regulate adipose tissue biology and to establish a target-oriented compound screening, we performed a high throughput siRNA screen with primary (pre)adipocytes, using a druggable siRNA library targeting 7,784 human genes. The primary screen showed that 459 genes affected adipogenesis and/or lipid accumulation after knock-down. Out of these hits, 333 could be validated in a secondary screen using independent siRNAs and 110 genes were further regulated on the gene expression level during adipogenesis. Assuming that these genes are involved in neutral lipid storage and/or adipocyte differentiation, we performed InCell-Western analysis for the most striking hits to distinguish between the two phenotypes. Beside well known regulators of adipogenesis and neutral lipid storage (i.e. PPARγ, RXR, Perilipin A) the screening revealed a large number of genes which have not been previously described in the context of fatty tissue biology such as axonemal dyneins. Five out of ten axonemal dyneins were identified in our screen and quantitative RT-PCR-analysis revealed that these genes are expressed in preadipocytes and/or maturing adipocytes. Finally, to show that the genes identified in our screen are per se druggable we performed a proof of principle experiment using an antagonist for HTR2B. The results showed a very similar phenotype compared to knock-down experiments proofing the “druggability”. Thus, we identified new adipogenesis-associated genes and those involved in neutral lipid storage. Moreover, by using a druggable siRNA library the screen data provides a very attractive starting point to identify anti-obesity compounds targeting the adipose tissue.

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          Statistical methods for analysis of high-throughput RNA interference screens.

          RNA interference (RNAi) has become a powerful technique for reverse genetics and drug discovery, and in both of these areas large-scale high-throughput RNAi screens are commonly performed. The statistical techniques used to analyze these screens are frequently borrowed directly from small-molecule screening; however, small-molecule and RNAi data characteristics differ in meaningful ways. We examine the similarities and differences between RNAi and small-molecule screens, highlighting particular characteristics of RNAi screen data that must be addressed during analysis. Additionally, we provide guidance on selection of analysis techniques in the context of a sample workflow.
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            An established preadipose cell line and its differentiation in culture. II. Factors affecting the adipose conversion.

            When cells of the established preadipose line 3T3-L1 enter a resting state, they accumulate triglyceride and convert to adipose cells. The adipose conversion is brought about by a large increase in the rate of triglyceride synthesis, as measured by the incorporation rate of labeled palmitate, acetate, and glucose. In a resting 3T3 subline which dose not undergo the adipose conversion, the rate of triglyceride synthesis from these precursors is very low, and similar to that of growing 3T3-L1 cells, before their adipose conversion begins. If 3T3-L1 cells incorporate bromodeoxyuridine during growth, triglyceride synthesis does not increase when the cells reach a stationary state, and triglycerides do not accumulate. As would be expected from their known actions on tissue adipose cells, lipogenic and lipolytic hormones and drugs affect the rate of synthesis and accumulation of triglyceride by 3T3-L1 cells, but in contrast to bromodeoxyuridine, these modulating agents do not seem to affect the proportion of cells which undergoes the adipose conversion. Insulin markedly increases the rate of synthesis and accumulation of triglyceride by fatty 3T3-L1 cells, and produces a related increase in cell protein content. Of 20 randomly selected clones isolated from the original 3T3 stock, 19 are able to convert to adipose cells. The probability of such a conversion varies greatly among the different clones, in most cases being much lower than for 3T3-L1; but once the conversion takes place, the adipose cells produced from all of the 19 clones appear similar. The adipose conversion would seem to depend on an on-off switch, which is on with a different probability in different clones. This probability is quasistably inherited by the clonal progeny.
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              Obesity: preventing and manag-ing the global epidemic

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                27 February 2012
                : 7
                : 2
                : e31193
                Affiliations
                [1 ]Beiersdorf AG, Research & Development, Hamburg, Germany
                [2 ]Max Planck Institute for Infection Biology, Molecular Biology Department, Berlin, Germany
                I2MC INSERM UMR U1048, France
                Author notes

                Conceived and designed the experiments: MW JS. Performed the experiments: JS ES UH EG. Analyzed the data: MW JS NM. Wrote the paper: JS MW. Assisted in study conception and design and interpretation of results: FS HW.

                [¤]

                Current address: Qiagen Hamburg GmbH, Hamburg, Germany

                Article
                PONE-D-11-20792
                10.1371/journal.pone.0031193
                3287999
                22384002
                90b2e291-8e54-4600-b6b7-eb8dc851c0b0
                Söhle et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 18 October 2011
                : 4 January 2012
                Page count
                Pages: 13
                Categories
                Research Article
                Biology
                Biochemistry
                Biotechnology
                Developmental Biology
                Genetics
                Genomics
                Molecular Cell Biology
                Gene Expression
                Medicine
                Drugs and Devices
                Drug Research and Development
                Nutrition

                Uncategorized
                Uncategorized

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