Aliee, H., & Theis, F. J. (2021). AutoGeneS: Automatic gene selection using multi-objective optimization for RNA-seq deconvolution. Cell systems, 12(7), 706–715.e4. https://doi.org/10.1016/j.cels.2021.05.006
Kempf, J., Knelles, K., Hersbach, B. A., Petrik, D., Riedemann, T., Bednarova, V., Janjic, A., Simon-Ebert, T., Enard, W., Smialowski, P., Götz, M., & Masserdotti, G. (2021). Heterogeneity of neurons reprogrammed from spinal cord astrocytes by the proneural factors Ascl1 and Neurogenin2. Cell reports, 36(3), 109409. https://doi.org/10.1016/j.celrep.2021.109409
Ustjanzew, A., Preussner, J., Bentsen, M., Kuenne, C., & Looso, M. (2021). i2dash: Creation of Flexible, Interactive and Web-based Dashboards for Visualization of Omics Data. Genomics, proteomics & bioinformatics, S1672-0229(21)00149-2. Advance online publication. https://doi.org/10.1016/j.gpb.2021.01.007
Grunewald, L., Lam, T., Andersch, L., Klaus, A., Schwiebert, S., Winkler, A., Gauert, A., Heeren-Hagemann, A. I., Astrahantseff, K., Klironomos, F., Thomas, A., Deubzer, H. E., Henssen, A. G., Eggert, A., Schulte, J. H., Anders, K., Kloke, L., & Künkele, A. (2021). A Reproducible Bioprinted 3D Tumor Model Serves as a Preselection Tool for CAR T Cell Therapy Optimization. Frontiers in immunology, 12, 689697. https://doi.org/10.3389/fimmu.2021.689697
Hücker, S. M., Fehlmann, T., Werno, C., Weidele, K., Lüke, F., Schlenska-Lange, A., Klein, C. A., Keller, A., & Kirsch, S. (2021). Single-cell microRNA sequencing method comparison and application to cell lines and circulating lung tumor cells. Nature communications, 12(1), 4316. https://doi.org/10.1038/s41467-021-24611-w
Schafflick, D., Wolbert, J., Heming, M., Thomas, C., Hartlehnert, M., Börsch, A. L., Ricci, A., Martín-Salamanca, S., Li, X., Lu, I. N., Pawlak, M., Minnerup, J., Strecker, J. K., Seidenbecher, T., Meuth, S. G., Hidalgo, A., Liesz, A., Wiendl, H., & Meyer Zu Horste, G. (2021). Single-cell profiling of CNS border compartment leukocytes reveals that B cells and their progenitors reside in non-diseased meninges. Nature neuroscience, 10.1038/s41593-021-00880-y. Advance online publication. https://doi.org/10.1038/s41593-021-00880-y
Onor, I. O., Duchane, R. M., Payne, C. J., Lambert, H. N., Mitchner, D. M., Beyl, R. A., Nguyen, A. T., Bilbe, S. E., White, A. A., Johnson, M. W., Faciane, A. I., Kouagou, E., Hymel, S. A., Wates, B. M., Sanders, A. D., Vo, P., Bates, J. D., Spooner, R. J., Gillard, C. J., Okogbaa, J. I., … CardioRenal Research Group (CRRG) (2021). Evaluation of serum calcium differences in hypertensive crises and control patients: A randomly matched case-control study. Journal of clinical hypertension (Greenwich, Conn.), 10.1111/jch.14268. Advance online publication. https://doi.org/10.1111/jch.14268
Melo Clavijo, J., Drews, F., Pirritano, M., Simon, M., Salhab, A., Donath, A., Frankenbach, S., Serôdio, J., Bleidißel, S., Preisfeld, A., & Christa, G. (2021). The complete mitochondrial genome of the photosymbiotic sea slug Berghia stephanieae (Valdés, 2005) (Gastropoda, Nudibranchia). Mitochondrial DNA. Part B, Resources, 6(8), 2281–2284. https://doi.org/10.1080/23802359.2021.1914211
Stehr, F., Stein, J., Bauer, J., Niederauer, C., Jungmann, R., Ganzinger, K., & Schwille, P. (2021). Tracking single particles for hours via continuous DNA-mediated fluorophore exchange. Nature communications, 12(1), 4432. https://doi.org/10.1038/s41467-021-24223-4
Miralles, A., Ducasse, J., Brouillet, S., Flouri, T., Fujisawa, T., Kapli, P., Knowles, L. L., Kumari, S., Stamatakis, A., Sukumaran, J., Lutteropp, S., Vences, M., & Puillandre, N. (2021). SPART, a versatile and standardized data exchange format for species partition information. Molecular ecology resources, 10.1111/1755-0998.13470. Advance online publication. https://doi.org/10.1111/1755-0998.13470
Nasteska, D., Fine, N., Ashford, F. B., Cuozzo, F., Viloria, K., Smith, G., Dahir, A., Dawson, P., Lai, Y. C., Bastidas-Ponce, A., Bakhti, M., Rutter, G. A., Fiancette, R., Nano, R., Piemonti, L., Lickert, H., Zhou, Q., Akerman, I., & Hodson, D. J. (2021). Author Correction: PDX1LOW MAFALOW β-cells contribute to islet function and insulin release. Nature communications, 12(1), 4521. https://doi.org/10.1038/s41467-021-24848-5
Zirngibl, F., Ivasko, S. M., Grunewald, L., Klaus, A., Schwiebert, S., Ruf, P., Lindhofer, H., Astrahantseff, K., Andersch, L., Schulte, J. H., Lode, H. N., Eggert, A., Anders, K., Hundsdoerfer, P., & Künkele, A. (2021). GD2-directed bispecific trifunctional antibody outperforms dinutuximab beta in a murine model for aggressive metastasized neuroblastoma. Journal for immunotherapy of cancer, 9(7), e002923. https://doi.org/10.1136/jitc-2021-002923
Harada, A, Kimura, H, Ohkawa, Y. Recent advance in single-cell epigenomics. Curr Opin Struct Biol. 2021;71 :116-122. doi: 10.1016/j.sbi.2021.06.010. PubMed PMID:34303078 .
Orsburn, BC. Evaluation of the Sensitivity of Proteomics Methods Using the Absolute Copy Number of Proteins in a Single Cell as a Metric. Proteomes. 2021;9 (3):. doi: 10.3390/proteomes9030034. PubMed PMID:34287363 PubMed Central PMC8293326.
Xu, W, Wen, Y, Liang, Y, Xu, Q, Wang, X, Jin, W et al.. A plate-based single-cell ATAC-seq workflow for fast and robust profiling of chromatin accessibility. Nat Protoc. 2021; :. doi: 10.1038/s41596-021-00583-5. PubMed PMID:34282334 .
Korin, B, Chung, JJ, Avraham, S, Shaw, AS. Preparation of single-cell suspensions of mouse glomeruli for high-throughput analysis. Nat Protoc. 2021; :. doi: 10.1038/s41596-021-00578-2. PubMed PMID:34282333 .
Pai, JA, Satpathy, AT. High-throughput and single-cell T cell receptor sequencing technologies. Nat Methods. 2021; :. doi: 10.1038/s41592-021-01201-8. PubMed PMID:34282327 .
Search PubMedSi, H., Du, D., Li, W., Li, Q., Li, J., Zhao, D., Li, L., & Tang, B. (2021). Sputum-Based Tumor Fluid Biopsy: Isolation and High-Throughput Single-Cell Analysis of Exfoliated Tumor Cells for Lung Cancer Diagnosis. Analytical chemistry, 10.1021/acs.analchem.1c00833. Advance online publication. https://doi.org/10.1021/acs.analchem.1c00833
Pisu, D., Huang, L., Narang, V., Theriault, M., Lê-Bury, G., Lee, B., Lakudzala, A. E., Mzinza, D. T., Mhango, D. V., Mitini-Nkhoma, S. C., Jambo, K. C., Singhal, A., Mwandumba, H. C., & Russell, D. G. (2021). Single cell analysis of M. tuberculosis phenotype and macrophage lineages in the infected lung. The Journal of experimental medicine, 218(9), e20210615. https://doi.org/10.1084/jem.20210615
Chen, Y., & Colonna, M. (2021). Microglia in Alzheimer’s disease at single-cell level. Are there common patterns in humans and mice?. The Journal of experimental medicine, 218(9), e20202717. https://doi.org/10.1084/jem.20202717
Steelman, Z. A., Coker, Z. N., Kiester, A., Noojin, G., Ibey, B. L., & Bixler, J. N. (2021). Quantitative phase microscopy monitors sub-cellular dynamics in single cells exposed to nanosecond pulsed electric fields. Journal of biophotonics, e2809. Advance online publication. https://doi.org/10.1002/jbio.202100125
Li, J., Ren, X., Deng, R., Zhang, K., Sun, Y., & Li, Y. (2021). Single-cell Imaging of m6A modified RNA Using m6A-specific In Situ Hybridization mediated Proximity Ligation Assay (m6AISH-PLA). Angewandte Chemie (International ed. in English), 10.1002/anie.202109118. Advance online publication. https://doi.org/10.1002/anie.202109118
Nakajima, N., Hayashi, T., Fujiki, K., Shirahige, K., Akiyama, T., Akutsu, T., & Nakato, R. (2021). Codependency and mutual exclusivity for gene community detection from sparse single-cell transcriptome data. Nucleic acids research, gkab601. Advance online publication. https://doi.org/10.1093/nar/gkab601