Dumitru Andrei Iacobas

Visiting Associate Professor
Comparative genomics and mathematical modelling of intercellular signaling in normal, transgenic and diseased nervous structures.

Kennedy Center
Room 915C
(718) 430-4138

 


Our laboratory uses a variety of molecular and computational biology techniques to identify and characterize the transcellular, connexin-dependent transcriptomic networks that control essential processes such as myelination, heart rhythm, and inflammatory response. Experimental data are then used to develop mathematical models and computer simulation programs of intercellular signaling in complex structures. The connexins (Cx) comprise a family of topologically similar transmembrane proteins that can assemble to form gap junction channels between cells within vertebrate animals. Such intercellular channels provide cytoplasmic continuity between the interconnected cells and play crucial roles in cell growth, differentiation and synchronous activity within specialized tissues. Through extensive microarray studies we found that, regardless subtype and tissue or cell line, connexins are transcriptomic hubs whose expression modulates not only the expression level, but also the strength of the transcription control and expression interlinkages of numerous other genes. Moreover, the regulomes of connexin deficient tissues are largely predictable from the corresponding connexin expressomes of the wildtypes. Together with the highly significant overlap between transcriptomic alterations in connexin knockout and knockdown cells, these results suggest that the widespread changes more likely reflect Connexin-Dependent Gene Regulatory Networks rather than developmental compensation for the missing gene. In such networks, linkage partners are rearranged and strengths modified in both transgenic and diseased animals, in response to pathologic or stressful conditions, as well as during development. The observed profound remodeling of the web of transcription factors and components of the polymerase III gene cluster in connexin deficient tissues may provide a molecular explanation for the downstream and parallel “ripples” of phenotypic change resulting from single gene manipulations.

Selected Publications

Selected Publications in PubMed

Selected publications not in PubMed

Iacobas DA , Iacobas S, Werner P, Scemes E, Spray DC (2008). Alteration of transcriptomic networks in adoptive-transfer experimental autoimmune encephalomyelitis.Frontiers in Integrative Neurosciences. 1:10. doi:10.3389/neuro.07/010.2007.

Frigeri A, Iacobas DA, Iacobas S, Nicchia GP, Desaphy JF, Camerino DC, Svelto M, Spray DC (in press). Effect of microagravity on brain gene expression in mice. Exp Brain Res.

Iacobas DA , Iacobas S, Spray DC (2005). Use of cDNA arrays to explore gene expression in genetically manipulated mice and cell lines. In Practical Methods in Cardiovascular Research (Editors: S Dhein , FW Mohr & M Delmar), Berlin - Heidelberg - New York : Springer-Verlag. ISBN: 3-540-40763-4. pp. 907-915.

Iacobas DA , Urban M, Massimi A, Iacobas S, Spray DC. (2002) Hits and misses from gene expression ratio measurements in cDNA microarray studies. J. Biomol. Tech.13(3),143-157.

Iacobas DA, Urban M, Massimi A, Spray DC . (2002). Improved procedure to mine the spotted cDNA arrays. J Biomol Tech 13(1), 5-19.

Iacobas DA . (2002) Co-ordinated transcriptomics and the Theory of Genomic Patholog as new tools in drug discovery. Future drug discovery, 110-113.

Iacobas DA , Urban M, Iacobas S, Spray DC (2001). The patholog of the gene expression profile in evaluating the ecotoxin effects. Advances in Ecological Sciences, 10: 733-742.

Iacobas DA. (2000 last English edition). Ideas and Methods in the Physics of Living. (total 7editions: 4 English + 3 Romanian), Constanta : Tilia Press Intl. Ltd. ISBN 973-96889-9-3.

Iacobas DA . (1997 last English edition). Medical Biostatistics. (Total 7 editions: 3 English + 2 Romanian + 1 Spanish + 1 Greek), Bucharest : Bucura Mond. ISBN 973-97977-4-1.

Iacobas DA , Iacobas S. (1997). Evaluation and validation of the health care system by the Theory of pathologic. Advances in Medical Physics, Biophysics and Biomaterials. 175-179.