@article{MTMT:3318793,
	title = {Intelligent image-based in situ single-cell isolation},
	url = {https://m2.mtmt.hu/api/publication/3318793},
	author = {Braskó, Csilla and Smith, K and Molnár, Csaba and Faragó, Nóra and Hegedűs, Lili and Bálind, Árpád and Balassa, Tamás and Szkalisity, Ábel and Sükösd, Farkas and Kocsis, Ágnes Katalin and Bálint, Balázs and Paavolainen, L and Enyedi, Márton Zsolt and Nagy, István and Puskás, László and Haracska, Lajos and Tamás, Gábor and Horváth, Péter},
	doi = {10.1038/s41467-017-02628-4},
	journal-iso = {NAT COMMUN},
	journal = {NATURE COMMUNICATIONS},
	volume = {9},
	unique-id = {3318793},
	issn = {2041-1723},
	abstract = {Quantifying heterogeneities within cell populations is important for many fields including cancer research and neurobiology; however, techniques to isolate individual cells are limited. Here, we describe a high-throughput, non-disruptive, and cost-effective isolation method that is capable of capturing individually targeted cells using widely available techniques. Using high-resolution microscopy, laser microcapture microscopy, image analysis, and machine learning, our technology enables scalable molecular genetic analysis of single cells, targetable by morphology or location within the sample.},
	year = {2018},
	eissn = {2041-1723},
	orcid-numbers = {Molnár, Csaba/0000-0002-6124-1209; Tamás, Gábor/0000-0002-7905-6001}
}

@article{MTMT:26935896,
	title = {Loss of BRCA1 or BRCA2 markedly increases the rate of base substitution mutagenesis and has distinct effects on genomic deletions (vol 36, pg 746, 2017)},
	url = {https://m2.mtmt.hu/api/publication/26935896},
	author = {Zamborszky, J and Szikriszt, B and Gervai, J Z and Pipek, Orsolya Anna and Póti, Ádám and Krzystanek, M and Ribli, D and Szalai-Gindl, J M and Csabai, I and Szállási, Zoltán and Swanton, C and Richardson, A L and Szüts, Dávid},
	doi = {10.1038/onc.2017.213},
	journal-iso = {ONCOGENE},
	journal = {ONCOGENE},
	volume = {36},
	unique-id = {26935896},
	issn = {0950-9232},
	year = {2017},
	eissn = {1476-5594},
	pages = {5085-5086},
	orcid-numbers = {Pipek, Orsolya Anna/0000-0001-8109-0340; Szállási, Zoltán/0000-0001-5395-7509}
}

@article{MTMT:32675889,
	title = {Cellular heterogeneity and molecular evolution in cancer},
	url = {https://m2.mtmt.hu/api/publication/32675889},
	author = {Almendro, V. and Marusyk, A. and Polyák, Kornélia},
	doi = {10.1146/annurev-pathol-020712-163923},
	journal-iso = {ANNU REV PATHOL-MECH},
	journal = {ANNUAL REVIEW OF PATHOLOGY-MECHANISMS OF DISEASE},
	volume = {8},
	unique-id = {32675889},
	issn = {1553-4006},
	abstract = {Intratumor heterogeneity represents a major obstacle to effective cancer treatment and personalized medicine. However, investigators are now elucidating intratumor heterogeneity at the single-cell level due to improvements in technologies. Better understanding of the composition of tumors, and monitoring changes in cell populations during disease progression and treatment, will improve cancer diagnosis and therapeutic design. Measurements of intratumor heterogeneity may also be used as biomarkers to predict the risk of progression and therapeutic resistance. We summarize important considerations related to intratumor heterogeneity during tumor evolution. We also discuss experimental approaches that are commonly used to infer intratumor heterogeneity and describe how these methodologies can be translated into clinical practice. © 2013 by Annual Reviews. All rights reserved.},
	keywords = {Humans; DNA; POINT MUTATION; GENETICS; ANEUPLOIDY; immunohistochemistry; single nucleotide polymorphism; review; human; Cell Division; Treatment Outcome; Biomarkers; microsatellite DNA; priority journal; gene mutation; Evolution, Molecular; pathology; disease course; Gene Expression; Gene Dosage; Homozygote; DNA Replication; messenger rna; Neoplasms; LASER CAPTURE MICRODISSECTION; neoplasm; immunofluorescence; CD34 antigen; chromosome translocation; tumor growth; hematopoietic stem cell; DNA methylation; molecular evolution; promoter region; Copy number variation; fluorescence in situ hybridization; distant metastasis; Genetic Heterogeneity; phenotypic variation; cancer size; CHROMOSOMAL INSTABILITY; epidermal growth factor receptor 2; DNA content; cell heterogeneity; immunodetection; cancer stem cell; hormone receptor; epigenetics; heterozygosity loss; somatic mutation; genetic difference; K ras protein; mismatch repair; CD38 antigen; Cancer stem cells; INTRATUMOR HETEROGENEITY; cyclin dependent kinase inhibitor 2A; Darwinian evolution; Clonal selection; MLCS; MLOWN},
	year = {2013},
	eissn = {1553-4014},
	pages = {277-302}
}