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D Venet

Publications and source records attributed to D Venet.

4 recordsLinked to original sources

Absence of a specific radiation signature in post-Chernobyl thyroid cancers.

Thyroid cancers have been the main medical consequence of the Chernobyl accident. On the basis of their pathological features and of the fact that a large proportion of them demonstrate RET-PTC translocations, these cancers are considered as similar to classical sporadic papillary carcinomas, although molecular alterations differ between both tumours. We analysed gene expression in post-Chernobyl cancers, sporadic papillary carcinomas and compared to autonomous adenomas used as controls. Unsupervised clustering of these data did not distinguish between the cancers, but separates both cancers from adenomas. No gene signature separating sporadic from post-Chernobyl PTC (chPTC) could be found using supervised and unsupervised classification methods although such a signature is demonstrated for cancers and adenomas. Furthermore, we demonstrate that pooled RNA from sporadic and chPTC are as strongly correlated as two independent sporadic PTC pools, one from Europe, one from the US involving patients not exposed to Chernobyl radiations. This result relies on cDNA and Affymetrix microarrays. Thus, platform-specific artifacts are controlled for. Our findings suggest the absence of a radiation fingerprint in the chPTC and support the concept that post-Chernobyl cancer data, for which the cancer-causing event and its date are known, are a unique source of information to study naturally occurring papillary carcinomas.

Adenoma↗

Study of thyroid gene expression and regulation by DNA array technology: pitfalls and necessary controls in the use of commercial filters.

In order to identify the genes differentially expressed by TSH stimulation in dog and human thyrocytes we have used the gene array technology. Some modifications of the standard procedure were introduced to improve the method. While the macroarray technology has been developed to identify genes differentially expressed between two tissues, we report here that certain widely publicized commercial nylon filters do not allow to achieve this result. Because each step is crucial to the method and because it relies on quantitative measurements, we report different pitfalls of the method when commercial nylon filters with spotted bacterial colonies are used. The list of the most expressed genes in dog and human thyrocytes, which constitutes the minimal transcriptome of these tissues, has nevertheless been drawn up. Control tests that should be applied before the experimental use of the very expensive arrays are proposed.

Animals↗

Separation of samples into their constituents using gene expression data.

Gene expression measurements are a powerful tool in molecular biology, but when applied to heterogeneous samples containing more than one cellular type the results are difficult to interpret. We present here a new approach to this problem allowing to deduce the gene expression profile of the various cellular types contained in a set of samples directly from the measurements taken on the whole sample.

Algorithms↗