supplementary information


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Zhao

MAF

Xinwei Zhao, Eberhard Korsching.


Evaluating the Effectiveness of Various Small RNA Alignment Techniques in Transcriptomic Analysis by Examining Different Sources of Variability Through a Multi-Alignment Approach


Methods and Protocols (2025).

Core element: MAF.zip.
Further supplementary resources (84 GB):
mRNA: 111HUmte, mte.gtf, mte.trans.fa, miRNA: 111HUpmm, 111HUmt, bt2_mt, bt2_pir, bt2_111HU, bb_mt, 111.mirbase.gtf, trans.111.mirbase.fa, trans.111.primary.fa, m2_miRtRNA.fasta, mt.miRtRNA.gtf, mt.trans.fa, test data: mRNA.fastq, miRNA.fastq, programs: install.zip.

Korsching

Eberhard Korsching, Julian Matschke, Marc Hotfilder.


Splice variants denote differences between a cancer stem cell side population of EWSR1‑ERG‑based Ewing sarcoma cells, its main population and EWSR1‑FLI‑based cells.


International Journal of Molecular Medicine 49, no. 3 (2022): 39.

The manuscript is accompanied by

Supplementary_File_1 (0.6 MB).
Further_Information_S1_S2_S3_S4 (13 MB).
Supporting_R_workspace (86 MB).

Gharbi

Sedigheh Gharbi, Zahra Mohammadi, Maryam Saedi Dezaki, Sadat Dokanehiifard, Shahriar Dabiri, Eberhard Korsching.


Characterization of the first microRNA in human CDH1 that affects cell cycle and apoptosis and indicates breast cancers progression.


J. Cell. Biochem. 2022, 1-16.

The manuscript is accompanied by

Supplementary_File (1.3 MB).

Hotfilder

Marc Hotfilder, Nikhil Mallela, Jochen Seggewiss, Uta Dirksen, Eberhard Korsching.


Defining a Characteristic Gene Expression Set Responsible for Cancer Stem Cell Like Features in a sub-population of Ewing Sarcoma Cells CADO-ES1.


Int. J. Mol. Sci. 2018, 19, 3908.

Expression data is submitted to ArrayExpress

Supporting information (1.2 MB) accompanying the article.

Gharbi

Sedigheh Gharbi, Shahriar Khateri, Mohammad Reza Soroush, Mehdi Shamsara, Parisa Naeli, Ali Najafi, Eberhard Korsching*, Seyed Javad Mowla*.


MicroRNA expression in serum samples of sulfur mustard veterans as a diagnostic gateway to improve care.


PLoS One. 2018 Mar 22;13(3):e0194530.

qPCR data is submitted to GEO.

Supporting information (1 MB).

Schaefer

Christiane Schaefer*, Nikhil Mallela*, Jochen Seggewiss, Birgit Lechtape, Heymut Omran, Uta Dirksen, Eberhard Korsching, Jenny Potratz.


Target Discovery Screens Using Pooled shRNA Libraries and Next Generation Sequencing: a Model Workflow and Analytical Algorithm.


PLoS One. 2018 Jan 31;13(1):e0191570.

Use the ProFED web application and search for profile patterns in experimental designs.

Alternative: local download.

Boecker

Boecker F, Buerger H, Mallela N,
Korsching E.


TMAinspiration: Decode interdependencies in multi-factorial tissue microarray data.


Cancer Informatics. 2016;15:143–149.

Programs and more: supplementary download.

TMAinspiration was listed in OmicTools from January 19, 2017 to 2020, when the omicX project led by Vincent Henry et al. has ended and the website has shut down.

Poos

Poos K, Smida J, Maugg D, Eckstein G, Baumhoer D, Nathrath M, Korsching E.


Genomic heterogeneity of osteosarcoma - shift from single candidates to functional modules.


PLoS One. 2015 Apr 7;10(4):e0123082.


Download
OS_network_data.cys (0.4 MB)
R scripts (25 KB)
RMA normalized expression data (8.6 MB).

Poos

Poos K, Smida J, Nathrath M, Maugg D, Baumhoer D, Neumann A, Korsching E.


Structuring osteosarcoma knowledge: an osteosarcoma-gene association database based on literature mining and manual annotation.


Database (Oxford). 2014 May 27;2014. pii: bau042.


DATABASE link

Poos

Poos K, Smida J, Nathrath M, Maugg D, Baumhoer D, Korsching E.


How MicroRNA and Transcription Factor Co-regulatory Networks Affect Osteosarcoma Cell Proliferation.


PLoS Comput Biol. 2013 Aug;9(8):e1003210.

View the supplementary networks:
The Metabolic (C1) or the Signaling (C2)
microRNA and TF co-regulatory networks
or download the modules:
Met_cluster_1.cys (0.6 MB)
Sig_cluster_2.cys (1.2 MB)
You might want to use Cytoscape.

Buerger-Korsching

Buerger H, Boecker F, Packeisen J, Agelopoulos K, Poos K, Nadler W, Korsching E.


Analyzing the basic principles of tissue microarray data measuring the cooperative phenomena of marker proteins in invasive breast cancer.


OAB, 2013, 5(1):1-21 or arXiv, code on request.

Hungermann

Hungermann D, Schmidt H, Natrajan R, Tidow N, Poos K, Reis-Filho JS, Brandt B, Buerger H, Korsching E.


Influence of whole arm loss of chromosome 16q on gene expression patterns in oestrogen receptor-positive, invasive breast cancer.


J Pathol. 2011 Aug;224(4):517-28.


Download
JP_supplementary_data.zip (14.2 MB)

Korsching

Korsching E, Agelopolous K, Schmidt H, Buchroth I, Gosheger G, Wulfing P, Boecker W, Brandt B, Buerger H.


Improvements in the analysis strategy make single nucleotide polymorphism analysis a powerful tool in the detection and characterization of amplified chromosomal regions in human tumors.


Pathobiology. 2006;73(1):18-25.

Download
SNPtool.zip (4.3 MB)