Aneichyk Tatsiana, MSc

University / Clinic: Biocenter, Medical University Innsbruck
Institute: Division Molecular Pathophysiology
 
Research Area: Bioinformatic gene expression analysis in childhood acute lymphoblastic leukemia (ChALL)

Email: tatsiana.aneichyk@i-med.ac.at
Web: at.linkedin.com/in/aneichyk

  Funded by: FWF

Research Topic:
2 subprojects within the research area:
(1) Identification and verification of candidate genes in glucocorticoid-induced cell death in ChALL
and resistance against this phenomenon

(2) Genome-wide identification of translated mRNAs in the presence and absence of glucocorticoids
in ChALL using microarray technology:

Details: интернет-магазин класно
Glucocorticoids (GCs) are natural stress induced steroid hormones causing cell cycle arrest and cell death in lymphoid tissues. Synthetic GC analogs constitute a central component in the treatment of lymphoid malignancies, in particular childhood acute lymphoblastic leukemia (ALL). By using Affymetrix
technology-based whole genome expression profiling to study the effects of GCs on the transcription of genes in-vitro in cell line systems and in-vivo in childhood ALL patients undergoing systemic GC monotherapy several response genes where identified [1, 2]. Especially the cell line data, obtained
by Affymetrix exon micro arrays (HuEx 1.0 st ) and analyzed in terms of differential transcript usage revealed GC regulated transcript isoforms and new splice variants of genes. Nevertheless not all regulated transcript isoforms
have to be necessarily converted to functional proteins. Highly interconnected posttranscriptional regulatory features like RNA binding proteins, non-coding RNAs, nonsense-mediated decay of transcripts and translational arrest can interfere with observed transcriptional regulations. To check for effects of post- transcriptional regulation onto GC regulated transcript variants translatome analysis is performed. Classical sucrose density fractionation applied to separate transcripts according to their translation rate reflected as ribosome association was used to create pools of highly translated, translational
initiated and non-translated mRNAs. This project aims to analyze exon array data obtained from the different mRNA pools reflecting the translation state to assess and compare the distribution respectively abundance of GC regulated mRNAs across the different pools. An additional focus lies on the
preprocessing of the exon microarray data, especially the normalization (i.e. adjustment for effects arising from variation in the technology rather than from biological differences between the individual RNA samples) and the comparison of the results to other in-house data sets. clasno


Selected publications:
 
  Knackmuss U, Lindner S, Aneichyk T, Kotkamp B, Knust Z, Villunger A, Herzog S
MAP3K11 is a tumor suppressor targeted by the oncomiR miR-125b in early B cells.
Cell Death Differ. 2016 Feb;23(2):242-52.

  Peintner L, Dorstyn L, Kumar S, Aneichyk T, Villunger A, Manzl C
The tumor-modulatory effects of Caspase-2 and Pidd1 do not require the scaffold protein Raidd.
Cell Death Differ. 2015 Apr 10, 1-9.

  Aneichyk T, Bindreither D, Mantinger C, Grazio D, Goetsch K, Kofler R, Rainer J
Translational profiling in childhood acute lymphoblastic leukemia: no evidence for glucocorticoid regulation of mRNA translation.
BMC Genomics. 2013 Dec 1;14:844.