Integrative genomics viewer

A map of human genome variation from population-scale sequencing.

The 1000 Genomes Project Consortium (2010) · Nature · doi:10.1038/nature09534 · Cited by 7,877 · see citing works

Comprehensive genomic characterization defines human glioblastoma genes and core pathways

The Cancer Genome Atlas Research Network (2008) · Nature · doi:10.1038/nature07385 · Cited by 7,735 · see citing works

Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized by Abnormalities in PDGFRA, IDH1, EGFR, and NF1

Verhaak, R. G. W., Hoadley, K. A., Purdom, E., Wang, V., Qi, Y., Wilkerson, M. D., Miller, C. R., Ding, L., Golub, T., Mesirov, J. P., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2009.12.020 · Cited by 7,575 · see citing works

Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals

Guttman, M., Amit, I., Garber, M., French, C., Lin, M. F., Feldser, D., Huarte, M., Zuk, O., Carey, B. W., Cassady, J. P., et al. (2009) · Nature · doi:10.1038/nature07672 · Cited by 4,098 · see citing works

Artemis: sequence visualization and annotation

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The ENCODE (ENCyclopedia Of DNA Elements) Project

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Systematic determination of patterns of gene expression during Drosophila embryogenesis

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Tablet-next generation sequence assembly visualization.

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The Integrated Genome Browser: free software for distribution and exploration of genome-scale datasets

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Integrative analysis of the melanoma transcriptome

Berger, M. F., Levin, J. Z., Vijayendran, K., Sivachenko, A., Adiconis, X., Maguire, J., Johnson, L. A., Robinson, J., Verhaak, R. G., Sougnez, C., et al. (2010) · Genome Research · doi:10.1101/gr.103697.109 · Cited by 305 · see citing works

Visualizing genomes: techniques and challenges

Nielsen, C. B., Cantor, M., Dubchak, I. L., Gordon, D., & Wang, T. (2010) · Nature Methods · doi:10.1038/nmeth.1422 · Cited by 167 · see citing works

EagleView: A genome assembly viewer for next-generation sequencing technologiesPreprint

Huang, W., & Marth, G. (2008) · Genome Research · doi:10.1101/gr.076067.108 · Cited by 125 · see citing works

Savant: genome browser for high-throughput sequencing data

Fiume, M., Williams, V. R., Brook, A. L., & Brudno, M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq332 · Cited by 112 · see citing works

MapView: visualization of short reads alignment on a desktop computer

Bao, H., Guo, H., Wang, J., Zhou, R., Lu, X., & Shi, S. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp255 · Cited by 79 · see citing works

The cBio Cancer Genomics Portal: An Open Platform for Exploring Multidimensional Cancer Genomics Data

Cerami, E., Gao, J., Dogrusoz, U., Gross, B. E., Sumer, S. O., Aksoy, B. A., Jacobsen, A., Byrne, C. J., Heuer, M. L., Larsson, E., et al. (2012) · Cancer Discovery · doi:10.1158/2159-8290.cd-12-0095 · Cited by 17,455 · see citing works

Integrative Analysis of Complex Cancer Genomics and Clinical Profiles Using the cBioPortal

Gao, J., Aksoy, B. A., Dogrusoz, U., Dresdner, G., Gross, B., Sumer, S. O., Sun, Y., Jacobsen, A., Sinha, R., Larsson, E., et al. (2013) · Science Signaling · doi:10.1126/scisignal.2004088 · Cited by 15,160 · see citing works

Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration

Thorvaldsdottir, H., Robinson, J. T., & Mesirov, J. P. (2013) · Briefings in Bioinformatics · doi:10.1093/bib/bbs017 · Cited by 9,049 · see citing works

Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer

Rizvi, N. A., Hellmann, M. D., Snyder, A., Kvistborg, P., Makarov, V., Havel, J. J., Lee, W., Yuan, J., Wong, P., Ho, T. S., et al. (2015) · Science · doi:10.1126/science.aaa1348 · Cited by 7,802 · see citing works

A Hexanucleotide Repeat Expansion in C9ORF72 Is the Cause of Chromosome 9p21-Linked ALS-FTD

Renton, A. E., Majounie, E., Waite, A., Simón-Sánchez, J., Rollinson, S., Gibbs, J. R., Schymick, J. C., Laaksovirta, H., van Swieten, J. C., Myllykangas, L., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.010 · Cited by 4,409 · see citing works

Circular RNAs are abundant, conserved, and associated with ALU repeats

Jeck, W. R., Sorrentino, J. A., Wang, K., Slevin, M. K., Burd, C. E., Liu, J., Marzluff, W. F., & Sharpless, N. E. (2013) · RNA · doi:10.1261/rna.035667.112 · Cited by 4,388 · see citing works

Merqury: reference-free quality, completeness, and phasing assessment for genome assemblies

Rhie, A., Walenz, B. P., Koren, S., & Phillippy, A. M. (2020) · Genome Biology · doi:10.1186/s13059-020-02134-9 · Cited by 3,643 · see citing works

Integrative Clinical Genomics of Advanced Prostate Cancer

Robinson, D., Van Allen, E. M., Wu, Y.-M., Schultz, N., Lonigro, R. J., Mosquera, J.-M., Montgomery, B., Taplin, M.-E., Pritchard, C. C., Attard, G., et al. (2015) · Cell · doi:10.1016/j.cell.2015.05.001 · Cited by 3,645 · see citing works

The complete sequence of a human genome

Nurk, S., Koren, S., Rhie, A., Rautiainen, M., Bzikadze, A. V., Mikheenko, A., Vollger, M. R., Altemose, N., Uralsky, L., Gershman, A., et al. (2022) · Science · doi:10.1126/science.abj6987 · Cited by 3,136 · see citing works

Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade

McGranahan, N., Furness, A. J. S., Rosenthal, R., Ramskov, S., Lyngaa, R., Saini, S. K., Jamal-Hanjani, M., Wilson, G. A., Birkbak, N. J., Hiley, C. T., et al. (2016) · Science · doi:10.1126/science.aaf1490 · Cited by 3,065 · see citing works

An immunogenic personal neoantigen vaccine for patients with melanoma

Ott, P. A., Hu, Z., Keskin, D. B., Shukla, S. A., Sun, J., Bozym, D. J., Zhang, W., Luoma, A., Giobbie-Hurder, A., Peter, L., et al. (2017) · Nature · doi:10.1038/nature22991 · Cited by 2,936 · see citing works

Genomic correlates of response to CTLA-4 blockade in metastatic melanoma

Van Allen, E. M., Miao, D., Schilling, B., Shukla, S. A., Blank, C., Zimmer, L., Sucker, A., Hillen, U., Geukes Foppen, M. H., Goldinger, S. M., et al. (2015) · Science · doi:10.1126/science.aad0095 · Cited by 2,839 · see citing works

Prospective Derivation of a Living Organoid Biobank of Colorectal Cancer Patients

van de Wetering, M., Francies, H. E., Francis, J. M., Bounova, G., Iorio, F., Pronk, A., van Houdt, W., van Gorp, J., Taylor-Weiner, A., Kester, L., et al. (2015) · Cell · doi:10.1016/j.cell.2015.03.053 · Cited by 2,408 · see citing works

Tissue-Resident Macrophage Enhancer Landscapes Are Shaped by the Local Microenvironment

Lavin, Y., Winter, D., Blecher-Gonen, R., David, E., Keren-Shaul, H., Merad, M., Jung, S., & Amit, I. (2014) · Cell · doi:10.1016/j.cell.2014.11.018 · Cited by 2,167 · see citing works

Nanopore sequencing and assembly of a human genome with ultra-long reads

Jain, M., Koren, S., Miga, K. H., Quick, J., Rand, A. C., Sasani, T. A., Tyson, J. R., Beggs, A. D., Dilthey, A. T., Fiddes, I. T., et al. (2018) · Nature Biotechnology · doi:10.1038/nbt.4060 · Cited by 1,892 · see citing works

The origin and evolution of mutations in acute myeloid leukemia

Welch, J. S., Ley, T. J., Link, D. C., Miller, C. A., Larson, D. E., Koboldt, D. C., Wartman, L. D., Lamprecht, T. L., Liu, F., Xia, J., et al. (2012) · Cell · doi:10.1016/j.cell.2012.06.023 · Cited by 1,575 · see citing works

Neoantigen vaccine generates intratumoral T cell responses in phase Ib glioblastoma trial

Keskin, D. B., Anandappa, A. J., Sun, J., Tirosh, I., Mathewson, N. D., Li, S., Oliveira, G., Giobbie-Hurder, A., Felt, K., Gjini, E., et al. (2019) · Nature · doi:10.1038/s41586-018-0792-9 · Cited by 1,432 · see citing works

Evolution and impact of subclonal mutations in chronic lymphocytic leukemia

Landau, D. A., Carter, S. L., Stojanov, P., McKenna, A., Stevenson, K., Lawrence, M. S., Sougnez, C., Stewart, C., Sivachenko, A., Wang, L., et al. (2013) · Cell · doi:10.1016/j.cell.2013.01.019 · Cited by 1,379 · see citing works

A Systematic Survey of Loss-of-Function Variants in Human Protein-Coding Genes

MacArthur, D. G., Balasubramanian, S., Frankish, A., Huang, N., Morris, J., Walter, K., Jostins, L., Habegger, L., Pickrell, J. K., Montgomery, S. B., et al. (2012) · Science · doi:10.1126/science.1215040 · Cited by 1,272 · see citing works

Striking antibody evasion manifested by the Omicron variant of SARS-CoV-2

Liu, L., Iketani, S., Guo, Y., Chan, J. F.-W., Wang, M., Liu, L., Luo, Y., Chu, H., Huang, Y., Nair, M. S., et al. (2022) · Nature · doi:10.1038/s41586-021-04388-0 · Cited by 1,290 · see citing works

Multiplex PCR method for MinION and Illumina sequencing of Zika and other virus genomes directly from clinical samples

Quick, J., Grubaugh, N. D., Pullan, S. T., Claro, I. M., Smith, A. D., Gangavarapu, K., Oliveira, G., Robles-Sikisaka, R., Rogers, T. F., Beutler, N. A., et al. (2017) · Nature Protocols · doi:10.1038/nprot.2017.066 · Cited by 1,190 · see citing works

APOE4 Causes Widespread Molecular and Cellular Alterations Associated with Alzheimer’s Disease Phenotypes in Human iPSC-Derived Brain Cell Types

Lin, Y.-T., Seo, J., Gao, F., Feldman, H. M., Wen, H.-L., Penney, J., Cam, H. P., Gjoneska, E., Raja, W. K., Cheng, J., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.05.008 · Cited by 1,125 · see citing works

A Patient-Derived Glioblastoma Organoid Model and Biobank Recapitulates Inter- and Intra-tumoral Heterogeneity

Jacob, F., Salinas, R. D., Zhang, D. Y., Nguyen, P. T. T., Schnoll, J. G., Wong, S. Z. H., Thokala, R., Sheikh, S., Saxena, D., Prokop, S., et al. (2020) · Cell · doi:10.1016/j.cell.2019.11.036 · Cited by 1,149 · see citing works

Computational and analytical challenges in single-cell transcriptomics

Stegle, O., Teichmann, S. A., & Marioni, J. C. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3833 · Cited by 1,170 · see citing works

Whole-exome sequencing of pancreatic cancer defines genetic diversity and therapeutic targets

Witkiewicz, A. K., McMillan, E. A., Balaji, U., Baek, G., Lin, W.-C., Mansour, J., Mollaee, M., Wagner, K.-U., Koduru, P., Yopp, A., et al. (2015) · Nature Communications · doi:10.1038/ncomms7744 · Cited by 1,115 · see citing works

Increasing the efficiency of precise genome editing with CRISPR-Cas9 by inhibition of nonhomologous end joining

Maruyama, T., Dougan, S. K., Truttmann, M. C., Bilate, A. M., Ingram, J. R., & Ploegh, H. L. (2015) · Nature Biotechnology · doi:10.1038/nbt.3190 · Cited by 1,137 · see citing works

Interplay of somatic alterations and immune infiltration modulates response to PD-1 blockade in advanced clear cell renal cell carcinoma

Braun, D. A., Hou, Y., Bakouny, Z., Ficial, M., Sant’ Angelo, M., Forman, J., Ross-Macdonald, P., Berger, A. C., Jegede, O. A., Elagina, L., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0839-y · Cited by 992 · see citing works

Digenome-seq: Genome-wide profiling of CRISPR-cas9 off-target effects in human cells

Kim, D., Bae, S., Park, J., Kim, E., Kim, S., Yu, H. R., Hwang, J., Kim, J.-I., & Kim, J.-S. (2015) · Nature Methods · doi:10.1038/nmeth.3284 · Cited by 992 · see citing works

The landscape of kinase fusions in cancer

Stransky, N., Cerami, E., Schalm, S., Kim, J. L., & Lengauer, C. (2014) · Nature Communications · doi:10.1038/ncomms5846 · Cited by 968 · see citing works

Correction of a pathogenic gene mutation in human embryos

Ma, H., Marti-Gutierrez, N., Park, S.-W., Wu, J., Lee, Y., Suzuki, K., Koski, A., Ji, D., Hayama, T., Ahmed, R., et al. (2017) · Nature · doi:10.1038/nature23305 · Cited by 969 · see citing works

Alarming antibody evasion properties of rising SARS-CoV-2 BQ and XBB subvariants

Wang, Q., Iketani, S., Li, Z., Liu, L., Guo, Y., Huang, Y., Bowen, A. D., Liu, M., Wang, M., Yu, J., et al. (2023) · Cell · doi:10.1016/j.cell.2022.12.018 · Cited by 912 · see citing works

Chromatin states define tumour-specific T cell dysfunction and reprogramming

Philip, M., Fairchild, L., Sun, L., Horste, E. L., Camara, S., Shakiba, M., Scott, A. C., Viale, A., Lauer, P., Merghoub, T., et al. (2017) · Nature · doi:10.1038/nature22367 · Cited by 933 · see citing works

Single-cell RNA sequencing reveals stromal evolution into LRRC15(+) myofibroblasts as a determinant of patient response to cancer immunotherapy

Dominguez, C. X., Müller, S., Keerthivasan, S., Koeppen, H., Hung, J., Gierke, S., Breart, B., Foreman, O., Bainbridge, T. W., Castiglioni, A., et al. (2020) · Cancer Discovery · doi:10.1158/2159-8290.cd-19-0644 · Cited by 857 · see citing works

The target landscape of clinical kinase drugs

Klaeger, S., Heinzlmeir, S., Wilhelm, M., Polzer, H., Vick, B., Koenig, P.-A., Reinecke, M., Ruprecht, B., Petzoldt, S., Meng, C., et al. (2017) · Science · doi:10.1126/science.aan4368 · Cited by 854 · see citing works

Single-cell RNA-seq reveals changes in cell cycle and differentiation programs upon aging of hematopoietic stem cells

Kowalczyk, M. S., Tirosh, I., Heckl, D., Rao, T. N., Dixit, A., Haas, B. J., Schneider, R. K., Wagers, A. J., Ebert, B. L., & Regev, A. (2015) · Genome Research · doi:10.1101/gr.192237.115 · Cited by 778 · see citing works

Patient-derived lung cancer organoids as in vitro cancer models for therapeutic screening

Kim, M., Mun, H., Sung, C. O., Cho, E. J., Jeon, H.-J., Chun, S.-M., Jung, D. J., Shin, T. H., Jeong, G. S., Kim, D. K., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-11867-6 · Cited by 812 · see citing works

ChIP‐Atlas: a data‐mining suite powered by full integration of public ChIP‐seq data

Oki, S., Ohta, T., Shioi, G., Hatanaka, H., Ogasawara, O., Okuda, Y., Kawaji, H., Nakaki, R., Sese, J., & Meno, C. (2018) · The EMBO Reports · doi:10.15252/embr.201846255 · Cited by 763 · see citing works

PoPoolation2: Identifying differentiation between populations using sequencing of pooled DNA samples (Pool-Seq)

Kofler, R., Pandey, R. V., & Schlötterer, C. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr589 · Cited by 815 · see citing works

Genome-wide analysis reveals characteristics of off-target sites bound by the Cas9 endonuclease

Kuscu, C., Arslan, S., Singh, R., Thorpe, J., & Adli, M. (2014) · Nature Biotechnology · doi:10.1038/nbt.2916 · Cited by 777 · see citing works

Genome-wide programmable transcriptional memory by CRISPR-based epigenome editing

Nuñez, J. K., Chen, J., Pommier, G. C., Cogan, J. Z., Replogle, J. M., Adriaens, C., Ramadoss, G. N., Shi, Q., Hung, K. L., Samelson, A. J., et al. (2021) · Cell · doi:10.1016/j.cell.2021.03.025 · Cited by 760 · see citing works

Medulloblastoma exome sequencing uncovers subtype-specific somatic mutations

Pugh, T. J., Weeraratne, S. D., Archer, T. C., Pomeranz Krummel, D. A., Auclair, D., Bochicchio, J., Carneiro, M. O., Carter, S. L., Cibulskis, K., Erlich, R. L., et al. (2012) · Nature · doi:10.1038/nature11329 · Cited by 750 · see citing works

Decoding myofibroblast origins in human kidney fibrosis

Kuppe, C., Ibrahim, M. M., Kranz, J., Zhang, X., Ziegler, S., Perales-Patón, J., Jansen, J., Reimer, K. C., Smith, J. R., Dobie, R., et al. (2021) · Nature · doi:10.1038/s41586-020-2941-1 · Cited by 769 · see citing works

<i>TP53</i>Variations in Human Cancers: New Lessons from the IARC TP53 Database and Genomics Data: Human Mutation

Bouaoun, L., Sonkin, D., Ardin, M., Hollstein, M., Byrnes, G., Zavadil, J., & Olivier, M. (2016) · Human Mutation · doi:10.1002/humu.23035 · Cited by 730 · see citing works

Genomic Hallmarks and Structural Variation in Metastatic Prostate Cancer

Quigley, D. A., Dang, H. X., Zhao, S. G., Lloyd, P., Aggarwal, R., Alumkal, J. J., Foye, A., Kothari, V., Perry, M. D., Bailey, A. M., et al. (2018) · Cell · doi:10.1016/j.cell.2018.06.039 · Cited by 733 · see citing works

De novo germline and postzygotic mutations in AKT3, PIK3R2 and PIK3CA cause a spectrum of related megalencephaly syndromes

Finding of Rare Disease Genes (FORGE) Canada Consortium, Rivière, J.-B., Mirzaa, G. M., O'Roak, B. J., Beddaoui, M., Alcantara, D., Conway, R. L., St-Onge, J., Schwartzentruber, J. A., Gripp, K. W., et al. (2012) · Nature Genetics · doi:10.1038/ng.2331 · Cited by 741 · see citing works

Systematic mapping of functional enhancer–promoter connections with CRISPR interference

Fulco, C. P., Munschauer, M., Anyoha, R., Munson, G., Grossman, S. R., Perez, E. M., Kane, M., Cleary, B., Lander, E. S., & Engreitz, J. M. (2016) · Science · doi:10.1126/science.aag2445 · Cited by 643 · see citing works

Integrated genomic characterization of adrenocortical carcinoma

Assié, G., Letouzé, E., Fassnacht, M., Jouinot, A., Luscap, W., Barreau, O., Omeiri, H., Rodriguez, S., Perlemoine, K., René-Corail, F., et al. (2014) · Nature Genetics · doi:10.1038/ng.2953 · Cited by 732 · see citing works

Evidence for 28 genetic disorders discovered by combining healthcare and research data

Kaplanis, J., Samocha, K. E., Wiel, L., Zhang, Z., Arvai, K. J., Eberhardt, R. Y., Gallone, G., Lelieveld, S. H., Martin, H. C., McRae, J. F., et al. (2020) · Nature · doi:10.1038/s41586-020-2832-5 · Cited by 615 · see citing works

A Single Oncogenic Enhancer Rearrangement Causes Concomitant EVI1 and GATA2 Deregulation in Leukemia

Gröschel, S., Sanders, M. A., Hoogenboezem, R., de Wit, E., Bouwman, B. A. M., Erpelinck, C., van der Velden, V. H. J., Havermans, M., Avellino, R., van Lom, K., et al. (2014) · Cell · doi:10.1016/j.cell.2014.02.019 · Cited by 687 · see citing works

Metabolic reprogramming during neuronal differentiation from aerobic glycolysis to neuronal oxidative phosphorylation

Zheng, X., Boyer, L., Jin, M., Mertens, J., Kim, Y., Ma, L., Ma, L., Hamm, M., Gage, F. H., & Hunter, T. (2016) · eLife · doi:10.7554/elife.13374 · Cited by 671 · see citing works

CTCF and cohesin regulate chromatin loop stability with distinct dynamics

Hansen, A. S., Pustova, I., Cattoglio, C., Tjian, R., & Darzacq, X. (2017) · eLife · doi:10.7554/elife.25776 · Cited by 613 · see citing works

Biallelic expansion of an intronic repeat in RFC1 is a common cause of late-onset ataxia

Cortese, A., Simone, R., Sullivan, R., Vandrovcova, J., Tariq, H., Yau, W. Y., Humphrey, J., Jaunmuktane, Z., Sivakumar, P., Polke, J., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0372-4 · Cited by 575 · see citing works

Div-Seq: Single-nucleus RNA-Seq reveals dynamics of rare adult newborn neurons

Habib, N., Li, Y., Heidenreich, M., Swiech, L., Avraham-Davidi, I., Trombetta, J. J., Hession, C., Zhang, F., & Regev, A. (2016) · Science · doi:10.1126/science.aad7038 · Cited by 601 · see citing works

Chromatin accessibility profiling by ATAC-seq

Grandi, F. C., Modi, H., Kampman, L., & Corces, M. R. (2022) · Nature Protocols · doi:10.1038/s41596-022-00692-9 · Cited by 557 · see citing works

SARS-CoV-2 Disrupts Splicing, Translation, and Protein Trafficking to Suppress Host Defenses

Banerjee, A. K., Blanco, M. R., Bruce, E. A., Honson, D. D., Chen, L. M., Chow, A., Bhat, P., Ollikainen, N., Quinodoz, S. A., Loney, C., et al. (2020) · Cell · doi:10.1016/j.cell.2020.10.004 · Cited by 583 · see citing works

MGnify: the microbiome analysis resource in 2020

Mitchell, A. L., Almeida, A., Beracochea, M., Boland, M., Burgin, J., Cochrane, G., Crusoe, M. R., Kale, V., Potter, S. C., Richardson, L. J., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz1035 · Cited by 562 · see citing works

Single-Neuron Sequencing Analysis of L1 Retrotransposition and Somatic Mutation in the Human Brain

Evrony, G. D., Cai, X., Lee, E., Hills, L. B., Elhosary, P. C., Lehmann, H. S., Parker, J. J., Atabay, K. D., Gilmore, E. C., Poduri, A., et al. (2012) · Cell · doi:10.1016/j.cell.2012.09.035 · Cited by 548 · see citing works

The histone mark H3K36me2 recruits DNMT3A and shapes the intergenic DNA methylation landscape

Weinberg, D. N., Papillon-Cavanagh, S., Chen, H., Yue, Y., Chen, X., Rajagopalan, K. N., Horth, C., McGuire, J. T., Xu, X., Nikbakht, H., et al. (2019) · Nature · doi:10.1038/s41586-019-1534-3 · Cited by 524 · see citing works

Human pluripotent stem cells recurrently acquire and expand dominant negative P53 mutations

Merkle, F. T., Ghosh, S., Kamitaki, N., Mitchell, J., Avior, Y., Mello, C., Kashin, S., Mekhoubad, S., Ilic, D., Charlton, M., et al. (2017) · Nature · doi:10.1038/nature22312 · Cited by 506 · see citing works

Microbiota-derived acetate enables the metabolic fitness of the brain innate immune system during health and disease

Erny, D., Dokalis, N., Mezö, C., Castoldi, A., Mossad, O., Staszewski, O., Frosch, M., Villa, M., Fuchs, V., Mayer, A., et al. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2021.10.010 · Cited by 478 · see citing works

Targeting mitochondria-located circrna scar alleviates nash via reducing mros output

Zhao, Q., Liu, J., Deng, H., Ma, R., Liao, J.-Y., Liang, H., Hu, J., Li, J., Guo, Z., Cai, J., et al. (2020) · Cell · doi:10.1016/j.cell.2020.08.009 · Cited by 469 · see citing works

Quantifying prion disease penetrance using large population control cohorts

Minikel, E. V., Vallabh, S. M., Lek, M., Estrada, K., Samocha, K. E., Sathirapongsasuti, J. F., McLean, C. Y., Tung, J. Y., Yu, L. P. C., Gambetti, P., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aad5169 · Cited by 442 · see citing works

Slow Delivery Immunization Enhances HIV Neutralizing Antibody and Germinal Center Responses via Modulation of Immunodominance

Cirelli, K. M., Carnathan, D. G., Nogal, B., Martin, J. T., Rodriguez, O. L., Upadhyay, A. A., Enemuo, C. A., Gebru, E. H., Choe, Y., Viviano, F., et al. (2019) · Cell · doi:10.1016/j.cell.2019.04.012 · Cited by 433 · see citing works

Single-cell analysis of mixed-lineage states leading to a binary cell fate choice

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The design and construction of reference pangenome graphs with minigraph

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