Haeussler, Maximilian

The GTEx Consortium atlas of genetic regulatory effects across human tissues

The GTEx Consortium, Aguet, F., Anand, S., Ardlie, K. G., Gabriel, S., Getz, G. A., Graubert, A., Hadley, K., Handsaker, R. E., Huang, K. H., et al. (2020) · Science

Genetic Associations and EpidemiologyRNA Research and Splicing

Cited by 5,547

Evaluation of off-target and on-target scoring algorithms and integration into the guide RNA selection tool CRISPOR

Haeussler, M., Schönig, K., Eckert, H., Eschstruth, A., Mianné, J., Renaud, J.-B., Schneider-Maunoury, S., Shkumatava, A., Teboul, L., Kent, J., et al. (2016) · Genome biology

CRISPR and Genetic EngineeringRNA regulation and disease

Cited by 1,756

Spatiotemporal gene expression trajectories reveal developmental hierarchies of the human cortex

Nowakowski, T. J., Bhaduri, A., Pollen, A. A., Alvarado, B., Mostajo-Radji, M. A., Di Lullo, E., Haeussler, M., Sandoval-Espinosa, C., Liu, S. J., Velmeshev, D., et al. (2017) · Science

Neurogenesis and neuroplasticity mechanismsSingle-cell and spatial transcriptomics

Cited by 964

Single-cell genomics identifies cell type–specific molecular changes in autism

Velmeshev, D., Schirmer, L., Jung, D., Haeussler, M., Perez, Y., Mayer, S., Bhaduri, A., Goyal, N., Rowitch, D. H., & Kriegstein, A. R. (2019) · Science

Autism Spectrum Disorder ResearchGenetics and Neurodevelopmental Disorders

Cited by 927

The UCSC Genome Browser database: 2014 update

Karolchik, D., Barber, G. P., Casper, J., Clawson, H., Cline, M. S., Diekhans, M., Dreszer, T. R., Fujita, P. A., Guruvadoo, L., Haeussler, M., et al. (2014) · Nucleic Acids Research

Genomics and Phylogenetic StudiesGenetics, Bioinformatics, and Biomedical Research

Cited by 670

Neuronal vulnerability and multilineage diversity in multiple sclerosis

Schirmer, L., Velmeshev, D., Holmqvist, S., Kaufmann, M., Werneburg, S., Jung, D., Vistnes, S., Stockley, J. H., Young, A., Steindel, M., et al. (2019) · Nature

Multiple Sclerosis Research StudiesNeuroinflammation and Neurodegeneration Mechanisms

Cited by 638

Cell stress in cortical organoids impairs molecular subtype specification

Bhaduri, A., Andrews, M. G., Mancia Leon, W., Jung, D., Shin, D., Allen, D., Jung, D., Schmunk, G., Haeussler, M., Salma, J., et al. (2020) · Nature

Neurogenesis and neuroplasticity mechanismsSingle-cell and spatial transcriptomics

Cited by 624

Human-Specific NOTCH2NL Genes Affect Notch Signaling and Cortical Neurogenesis

Fiddes, I. T., Lodewijk, G. A., Mooring, M., Bosworth, C. M., Ewing, A. D., Mantalas, G. L., Novak, A. M., van den Bout, A., Bishara, A., Rosenkrantz, J. L., et al. (2018) · Cell

Neurogenesis and neuroplasticity mechanismsDevelopmental Biology and Gene Regulation

Cited by 595

Determinants of telomere length across human tissues

Demanelis, K., Jasmine, F., Chen, L. S., Chernoff, M., Tong, L., Delgado, D., Zhang, C., Shinkle, J., Sabarinathan, M., Lin, H., et al. (2020) · Science

Telomeres, Telomerase, and SenescenceGenetics, Aging, and Longevity in Model Organisms

Cited by 515

An evolutionary arms race between KRAB zinc-finger genes ZNF91/93 and SVA/L1 retrotransposons

Jacobs, F. M. J., Greenberg, D., Nguyen, N., Haeussler, M., Ewing, A. D., Katzman, S., Paten, B., Salama, S. R., & Haussler, D. (2014) · Nature

Chromosomal and Genetic VariationsGenomics and Chromatin Dynamics

Cited by 506

Spatial epigenome–transcriptome co-profiling of mammalian tissues

Zhang, D., Deng, Y., Kukanja, P., Agirre, E., Bartosovic, M., Dong, M., Ma, C., Ma, S., Su, G., Bao, S., et al. (2023) · Nature

Single-cell and spatial transcriptomicsGenomics and Chromatin Dynamics

Cited by 483

The UCSC Genome Browser database: 2018 update

Casper, J., Zweig, A. S., Villarreal, C., Tyner, C., Speir, M. L., Rosenbloom, K. R., Raney, B. J., Lee, C. M., Lee, B. T., Karolchik, D., et al. (2018) · Nucleic Acids Research

Genomics and Phylogenetic StudiesGenetics, Bioinformatics, and Biomedical Research

Cited by 475

A Quantitative Proteome Map of the Human Body

Jiang, L., Wang, M., Lin, S., Jian, R., Li, X., Chan, J., Dong, G., Fang, H., Robinson, A. E., Aguet, F., et al. (2020) · Cell

Advanced Proteomics Techniques and ApplicationsBioinformatics and Genomic Networks

Cited by 458

Single-cell atlas of early human brain development highlights heterogeneity of human neuroepithelial cells and early radial glia

Eze, U. C., Bhaduri, A., Haeussler, M., Nowakowski, T. J., & Kriegstein, A. R. (2021) · Nature Neuroscience

Neurogenesis and neuroplasticity mechanismsSingle-cell and spatial transcriptomics

Cited by 427

The UCSC Genome Browser database: 2022 update

Lee, B. T., Barber, G. P., Benet-Pagès, A., Casper, J., Clawson, H., Diekhans, M., Fischer, C., Gonzalez, J. N., Hinrichs, A. S., Lee, C. M., et al. (2022) · Nucleic Acids Research

Genomics and Phylogenetic StudiesGenetics, Bioinformatics, and Biomedical Research

Cited by 273

Massively parallel profiling and predictive modeling of the outcomes of CRISPR/Cas9-mediated double-strand break repair

Chen, W., McKenna, A., Schreiber, J., Haeussler, M., Yin, Y., Agarwal, V., Noble, W. S., & Shendure, J. (2019) · Nucleic Acids Research

CRISPR and Genetic EngineeringDNA Repair Mechanisms

Cited by 216

UCSC Genome Browser enters 20th year

Lee, C. M., Barber, G. P., Casper, J., Clawson, H., Diekhans, M., Gonzalez, J. N., Hinrichs, A. S., Lee, B. T., Nassar, L. R., Powell, C. C., et al. (2019) · Nucleic Acids Research

Genomics and Phylogenetic StudiesGenetics, Bioinformatics, and Biomedical Research

Cited by 191

AMELIE speeds Mendelian diagnosis by matching patient phenotype and genotype to primary literature

Birgmeier, J., Haeussler, M., Deisseroth, C. A., Steinberg, E. H., Jagadeesh, K. A., Ratner, A. J., Guturu, H., Wenger, A. M., Diekhans, M. E., Stenson, P. D., et al. (2020) · Science Translational Medicine

Genomics and Rare DiseasesBiomedical Text Mining and Ontologies

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Modeling Human TBX5 Haploinsufficiency Predicts Regulatory Networks for Congenital Heart Disease

Kathiriya, I. S., Rao, K. S., Iacono, G., Devine, W. P., Blair, A. P., Hota, S. K., Lai, M. H., Garay, B. I., Thomas, R., Gong, H. Z., et al. (2021) · Developmental Cell

Congenital heart defects researchPluripotent Stem Cells Research

Cited by 116

A panoramic view of cell population dynamics in mammalian aging

Zhang, Z., Schaefer, C., Jiang, W., Lu, Z., Lee, J., Sziraki, A., Abdulraouf, A., Wick, B., Haeussler, M., Li, Z., et al. (2025) · Science

Single-cell and spatial transcriptomicsGenetics, Aging, and Longevity in Model Organisms

Cited by 95

Cell type mapping reveals tissue niches and interactions in subcortical multiple sclerosis lesions

Lerma-Martin, C., Badia-i-Mompel, P., Ramirez Flores, R. O., Sekol, P., Schäfer, P. S. L., Riedl, C. J., Hofmann, A., Thäwel, T., Wünnemann, F., Ibarra-Arellano, M. A., et al. (2024) · Nature Neuroscience

Multiple Sclerosis Research StudiesSingle-cell and spatial transcriptomics

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Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics

Barbeira, A. N., Dickinson, S. P., Bonazzola, R., Zheng, J., Wheeler, H. E., Torres, J. M., Torstenson, E. S., Shah, K. P., Garcia, T., Edwards, T. L., et al. (2018) · Nature Communications

Genetic Associations and EpidemiologyBioinformatics and Genomic Networks

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Cross-regional homeostatic and reactive glial signatures in multiple sclerosis

Trobisch, T., Zulji, A., Stevens, N. A., Schwarz, S., Wischnewski, S., Öztürk, M., Perales-Patón, J., Haeussler, M., Saez-Rodriguez, J., Velmeshev, D., et al. (2022) · Acta Neuropathologica

Multiple Sclerosis Research StudiesSingle-cell and spatial transcriptomics

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Single cell epigenomic atlas of the developing human brain and organoids

Ziffra, R. S., Kim, C. N., Wilfert, A., Turner, T. N., Haeussler, M., Casella, A. M., Przytycki, P. F., Kreimer, A., Pollard, K. S., Ament, S. A., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory)

Single-cell and spatial transcriptomicsGenomics and Chromatin Dynamics

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