Microbial Contamination in Next Generation Sequencing: Implications for Sequence-Based Analysis of Clinical Samples
Open accessAbstract
The high level of accuracy and sensitivity of next generation sequencing for quantifying genetic material across organismal boundaries gives it tremendous potential for pathogen discovery and diagnosis in human disease. Despite this promise, substantial bacterial contamination is routinely found in existing human-derived RNA-seq datasets that likely arises from environmental sources. This raises the need for stringent sequencing and analysis protocols for studies investigating sequence-based microbial signatures in clinical samples.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A database of background microorganisms commonly detected in mNGS data from normal flora or laboratory contamination typically needs to be maintained for accurate mNGS analyses.
“A database of background microorganisms commonly detected in mNGS data and arising from normal flora or laboratory contamination101,104 typically needs to be maintained for accurate mNGS analyses.”
From Clinical metagenomics (2019) · cites this paper as [104]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669 · see citing works
Comprehensive molecular portraits of human breast tumours
The Cancer Genome Atlas Network (2012) · Nature · doi:10.1038/nature11412 · Cited by 12,129 · see citing works
Comprehensive molecular characterization of human colon and rectal cancer
The Cancer Genome Atlas Network (2012) · Nature · doi:10.1038/nature11252 · Cited by 8,499 · see citing works
Comprehensive genomic characterization of squamous cell lung cancers
The Cancer Genome Atlas Research Network (2012) · Nature · doi:10.1038/nature11404 · Cited by 3,994 · see citing works
Clonal Integration of a Polyomavirus in Human Merkel Cell Carcinoma
Feng, H., Shuda, M., Chang, Y., & Moore, P. S. (2008) · Science · doi:10.1126/science.1152586 · Cited by 3,208 · see citing works
<i>Fusobacterium nucleatum</i> infection is prevalent in human colorectal carcinoma
Castellarin, M., Warren, R. L., Freeman, J. D., Dreolini, L., Krzywinski, M., Strauss, J., Barnes, R., Watson, P., Allen-Vercoe, E., Moore, R. A., et al. (2012) · Genome Research · doi:10.1101/gr.126516.111 · Cited by 2,043 · see citing works
Genomic analysis identifies association of <i>Fusobacterium</i> with colorectal carcinoma
Kostic, A. D., Gevers, D., Pedamallu, C. S., Michaud, M., Duke, F., Earl, A. M., Ojesina, A. I., Jung, J., Bass, A. J., Tabernero, J., et al. (2012) · Genome Research · doi:10.1101/gr.126573.111 · Cited by 1,960 · see citing works
Transcriptome and genome sequencing uncovers functional variation in humans
The Geuvadis Consortium, Lappalainen, T., Sammeth, M., Friedländer, M. R., ‘t Hoen, P. A. C., Monlong, J., Rivas, M. A., Gonzàlez-Porta, M., Kurbatova, N., Griebel, T., et al. (2013) · Nature · doi:10.1038/nature12531 · Cited by 1,888 · see citing works
Integrative analysis of environmental sequences using MEGAN4Preprint
Huson, D. H., Mitra, S., Ruscheweyh, H., Weber, N., & Schuster, S. C. (2011) · Genome Research · doi:10.1101/gr.120618.111 · Cited by 1,534 · see citing works
NCBI Reference Sequences (RefSeq): current status, new features and genome annotation policy
Pruitt, K. D., Tatusova, T., Brown, G. R., & Maglott, D. R. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr1079 · Cited by 1,149 · cited 1× · see citing works
“28 searches against the Human RefSeq RNA database and then to the NCBI nucleotide (nt) database to identify reads corresponding to known exogenous organisms [19,20].”
MethodActionable Diagnosis of Neuroleptospirosis by Next-Generation Sequencing
Wilson, M. R., Naccache, S. N., Samayoa, E., Biagtan, M., Bashir, H., Yu, G., Salamat, S. M., Somasekar, S., Federman, S., Miller, S., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1401268 · Cited by 977 · see citing works
Routine Use of Microbial Whole Genome Sequencing in Diagnostic and Public Health Microbiology
Köser, C. U., Ellington, M. J., Cartwright, E. J. P., Gillespie, S. H., Brown, N. M., Farrington, M., Holden, M. T. G., Gordon Dougan, B., Bentley, S. D., Parkhill, J., et al. (2012) · PLoS Pathogens · doi:10.1371/journal.ppat.1002824 · Cited by 545 · see citing works
Hasman, H., Saputra, D., Sicheritz-Pontén, T., Lund, O., Svendsen, C. A., Frimodt-Møller, N., & Aarestrup, F. (2013) · Journal of Clinical Microbiology · doi:10.1128/jcm.02452-13 · Cited by 522 · see citing works
Loman, N. J., Constantinidou, C., Christner, M., Rohde, H., Chan, J. Z.-M., Quick, J., Weir, J., Quince, C., Smith, G. P., Betley, J. R., et al. (2013) · JAMA · doi:10.1001/jama.2013.3231 · Cited by 339 · see citing works
Common Contaminants in Next-Generation Sequencing That Hinder Discovery of Low-Abundance Microbes
Laurence, M., Hatzis, C., & Brash, D. E. (2014) · PLoS ONE · doi:10.1371/journal.pone.0097876 · Cited by 314 · see citing works
Naccache, S. N., Greninger, A. L., Lee, D., Coffey, L. L., Phan, T. G., Rein‐Weston, A., Aronsohn, A. I., Hackett, J., Delwart, E., & Chiu, C. Y. (2013) · Journal of Virology · doi:10.1128/jvi.02323-13 · Cited by 251 · see citing works
Reproducibility of high-throughput mRNA and small RNA sequencing across laboratories
The GEUVADIS Consortium, 't Hoen, P. A. C., Friedländer, M. R., Almlöf, J., Sammeth, M., Pulyakhina, I., Anvar, S. Y., Laros, J. F. J., Buermans, H. P. J., Karlberg, O., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2702 · Cited by 250 · see citing works
Empirical methods for controlling false positives and estimating confidence in ChIP-Seq peaks
Nix, D. A., Courdy, S., & Boucher, K. M. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-523 · Cited by 225 · see citing works
Strong, M. J., Xu, G., Coco, J., Baribault, C., Vinay, D. S., Lacey, M. R., Strong, A. L., Lehman, T. A., Seddon, M. B., Lin, Z. N., et al. (2013) · PLoS Pathogens · doi:10.1371/journal.ppat.1003341 · Cited by 154 · see citing works
Self-citationSequence-Based Discovery of Bradyrhizobium enterica in Cord Colitis Syndrome
Bhatt, A. S., Freeman, S. S., Herrera, A. F., Pedamallu, C. S., Gevers, D., Duke, F. F., Jung, J., Michaud, M., Walker, B. J., Young, S., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1211115 · Cited by 151 · see citing works
Bacterial genome sequencing in the clinic: bioinformatic challenges and solutions
Fricke, W. F., & Rasko, D. A. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3624 · Cited by 147 · see citing works
Polyadenylic acid sequences in E. coli messenger RNA
Nakazato, H., Venkatesan, S., & Edmonds, M. (1975) · Nature · doi:10.1038/256144a0 · Cited by 106 · see citing works
Smuts, H. E. M., Kew, M. C., Khan, A., & Korsman, S. N. J. (2013) · Journal of Virology · doi:10.1128/jvi.03206-13 · Cited by 60 · see citing works
Polyadenylation of mRNA in bacteria
Sarkar, N. (1996) · Microbiology · doi:10.1099/13500872-142-11-3125 · Cited by 59 · see citing works
Hybrid DNA virus in Chinese patients with seronegative hepatitis discovered by deep sequencing
Xu, B., Zhi, N., Hu, G., Wan, Z., Zheng, X., Liu, X., Wong, S. C., Kajigaya, S., Zhao, K., Mao, Q., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1303744110 · Cited by 56 · see citing works
Presence of polyriboadenylate sequences in pulse-labeled RNA of Escherichia coli.
Srinivasan, P., Ramanarayanan, M. P., & Rabbani, E. (1975) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.72.8.2910 · Cited by 51 · see citing works
RNA CoMPASS: A Dual Approach for Pathogen and Host Transcriptome Analysis of RNA-Seq Datasets
Xu, G., Strong, M. J., Lacey, M. R., Baribault, C., Flemington, E. K., & Taylor, C. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0089445 · Cited by 43 · see citing works
Self-citationStrong, M. J., O’Grady, T. M., Lin, Z. N., Xu, G., Baddoo, M., Parsons, C. H., Zhang, K., Taylor, C. M., & Flemington, E. K. (2013) · Journal of Virology · doi:10.1128/jvi.02380-13 · Cited by 41 · see citing works
Self-citationNaccache, S. N., Hackett, J., Delwart, E., & Chiu, C. Y. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1317064111 · Cited by 40 · see citing works
Poly(adenylic acid) sequences in the RNA of Caulobacter crescenus.
Ohta, N., Sanders, M., & Newton, A. (1975) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.72.6.2343 · Cited by 34 · see citing works
Lin, Z. N., Puetter, A., Coco, J., Xu, G., Strong, M. J., Wang, X., Fewell, C., Baddoo, M., Taylor, C. M., & Flemington, E. K. (2012) · Journal of Virology · doi:10.1128/jvi.06717-11 · Cited by 30 · see citing works
Self-citationA Microbial Metagenome ( Leucobacter sp.) in Caenorhabditis Whole Genome Sequences
Percudani, R. (2013) · Bioinformatics and Biology Insights · doi:10.4137/bbi.s11064 · Cited by 25 · see citing works
Reply to Naccache et al: Viral sequences of NIH-CQV virus, a contamination of DNA extraction method
Zhi, N., Hu, G., Wong, S. C., Zhao, K., Mao, Q., & Young, N. S. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1318965111 · Cited by 11 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Chiu, C. Y., & Miller, S. A. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0113-7 · Cited by 1,620 · see citing works
Clinical Metagenomic Next-Generation Sequencing for Pathogen Detection
Gu, W., Miller, S., & Chiu, C. Y. (2019) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev-pathmechdis-012418-012751 · Cited by 1,458 · see citing works
Characterization of the gut microbiome using 16S or shotgun metagenomics
Jovel, J., Patterson, J., Wang, W., Hotte, N., O'Keefe, S., Mitchel, T., Perry, T., Kao, D., Mason, A. L., Madsen, K. L., et al. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.00459 · Cited by 942 · see citing works
Miller, S. A., Naccache, S. N., Samayoa, E., Messacar, K., Arevalo, S., Federman, S., Stryke, D., Pham, E., Fung, B., Bolosky, W. J., et al. (2019) · Genome Research · doi:10.1101/gr.238170.118 · Cited by 580 · see citing works
Validation of Metagenomic Next-Generation Sequencing Tests for Universal Pathogen Detection
Schlaberg, R., Chiu, C. Y., Miller, S., Procop, G. W., Weinstock, G., the Professional Practice Committee and Committee on Laboratory Practices of the American Society for Microbiology, & the Microbiology Resource Committee of the College of American Pathologists (2017) · Archives of Pathology & Laboratory Medicine · doi:10.5858/arpa.2016-0539-ra · Cited by 550 · see citing works
Next-generation sequencing diagnostics of bacteremia in septic patients
Grumaz, S., Stevens, P., Grumaz, C., Decker, S., Weigand, M. A., Hofer, S., Brenner, T., von Haeseler, A., & Sohn, K. (2016) · Genome Medicine · doi:10.1186/s13073-016-0326-8 · Cited by 347 · see citing works
Beckers, B., Beeck, M. O. D., Thijs, S., Truyens, S., Weyens, N., Boerjan, W., & Vangronsveld, J. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.00650 · Cited by 319 · see citing works
The blood DNA virome in 8,000 humans
Moustafa, A., Xie, C., Kirkness, E. F., Biggs, W., Wong, E., Turpaz, Y., Bloom, K., Delwart, E., Nelson, K. E., Venter, J. C., et al. (2017) · PLoS Pathogens · doi:10.1371/journal.ppat.1006292 · Cited by 304 · see citing works
Metagenomics-enabled microbial surveillance
Ko, K. K. K., Chng, K. R., & Nagarajan, N. (2022) · Nature Microbiology · doi:10.1038/s41564-022-01089-w · Cited by 275 · see citing works
Castro‐Nallar, E., Bendall, M. L., Pérez‐Losada, M., Sabunciyan, S., Severance, E. G., Dickerson, F., Schroeder, J. R., Yolken, R. H., & Crandall, K. A. (2015) · PeerJ · doi:10.7717/peerj.1140 · Cited by 269 · see citing works
High‐Throughput Metagenomics for Identification of Pathogens in the Clinical Settings
Li, N., Cai, Q., Miao, Q., Song, Z., Fang, Y., & Hu, B. (2020) · Small Methods · doi:10.1002/smtd.202000792 · Cited by 262 · see citing works
Metagenomic Sequencing Detects Respiratory Pathogens in Hematopoietic Cellular Transplant Patients
Langelier, C., Zinter, M. S., Kalantar, K., Yanik, G. A., Christenson, S. A., O’Donovan, B. D., White, C. V., Wilson, M. R., Sapru, A., Dvorak, C. C., et al. (2017) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201706-1097le · Cited by 231 · see citing works
Recent insights into the tick microbiome gained through next-generation sequencing
Greay, T. L., Gofton, A. W., Paparini, A., Ryan, U. M., Oskam, C. L., & Irwin, P. (2018) · Parasites & Vectors · doi:10.1186/s13071-017-2550-5 · Cited by 220 · see citing works
Next-generation biology: Sequencing and data analysis approaches for non-model organisms
da Fonseca, R. R., Albrechtsen, A., Themudo, G. E., Ramos‐Madrigal, J., Sibbesen, J. A., Maretty, L., Mendoza, M. L. Z., Campos, P. F., Heller, R., & Pereira, R. J. (2016) · Marine Genomics · doi:10.1016/j.margen.2016.04.012 · Cited by 207 · see citing works
GenBank is a reliable resource for 21st century biodiversity research
Leray, M., Knowlton, N., Ho, S.-L., Nguyen, B., & Machida, R. J. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1911714116 · Cited by 199 · see citing works
Marcelino, V. R., Clausen, P. T. L. C., Buchmann, J. P., Wille, M., Iredell, J. R., Meyer, W., Lund, O., Sorrell, T. C., & Holmes, E. C. (2020) · Genome biology · doi:10.1186/s13059-020-02014-2 · Cited by 173 · see citing works
A New Age in Molecular Diagnostics for Invasive Fungal Disease: Are We Ready?
Kidd, S. E., Chen, S. C. ‐., Meyer, W., & Halliday, C. L. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.02903 · Cited by 167 · see citing works
Metagenomic sequencing with spiked primer enrichment for viral diagnostics and genomic surveillance
Deng, X., Achari, A., Federman, S., Yu, G., Somasekar, S., Bártolo, I., Yagi, S., Kingebeni, P. M., Kapetshi, J., Ahuka‐Mundeke, S., et al. (2020) · Nature Microbiology · doi:10.1038/s41564-019-0637-9 · Cited by 167 · see citing works
Ivy, M. I., Thoendel, M., Jeraldo, P., Greenwood‐Quaintance, K. E., Hanssen, A. D., Abdel, M. P., Chia, N., Yao, J. Z., Tande, A. J., Mandrekar, J. N., et al. (2018) · Journal of Clinical Microbiology · doi:10.1128/jcm.00402-18 · Cited by 165 · see citing works
Mostafa, H. H., Fissel, J. A., Fanelli, B. C., Bergman, Y., Gniazdowski, V., Dadlani, M., Carroll, K. C., Colwell, R. R., & Simner, P. J. (2020) · mBio · doi:10.1128/mbio.01969-20 · Cited by 165 · see citing works
Flygare, S., Simmon, K., Miller, C., Qiao, Y., Kennedy, B., Di Sera, T., Graf, E. H., Tardif, K. D., Kapusta, A., Rynearson, S., et al. (2016) · Genome Biology · doi:10.1186/s13059-016-0969-1 · Cited by 164 · see citing works
Metagenomic Sequencing for Microbial DNA in Human Samples: Emerging Technological Advances
Shi, Y. H., Wang, G., Lau, H. C.-H., & Yu, J. Q. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23042181 · Cited by 157 · see citing works
Castelino, M., Eyre, S., Moat, J., Fox, G., Martin, P., Ho, P., Upton, M., & Barton, A. C. (2017) · BMC Microbiology · doi:10.1186/s12866-017-0927-4 · Cited by 156 · see citing works
Thind, A. S., Monga, I., Thakur, P. K., Kumari, P., Dindhoria, K., Krzak, M., Ranson, M., & Ashford, B. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbab259 · Cited by 125 · see citing works
Mollerup, S., Friis-Nielsen, J., Vinner, L., Hansen, T. A., Richter, S. R., Fridholm, H., Herrera, J. A. R., Lund, O., Brunak, S., Izarzugaza, J. M. G., et al. (2016) · Journal of Clinical Microbiology · doi:10.1128/jcm.02723-15 · Cited by 104 · see citing works
Transcriptome analysis in whole blood reveals increased microbial diversity in schizophrenia
Loohuis, L. M. O., Mangul, S., Ori, A. P. S., Jospin, G., Koslicki, D., Yang, H. T., Wu, T., Boks, M. P., Lomen‐Hoerth, C., Wiedau‐Pazos, M., et al. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0107-9 · Cited by 102 · see citing works
Tarallo, S., Ferrero, G., Gallo, G., Francavilla, A., Clerico, G. F., Luc, A. R., Manghi, P., Thomas, A. M., Vineis, P., Segata, N., et al. (2019) · mSystems · doi:10.1128/msystems.00289-19 · Cited by 100 · see citing works
Charting Extracellular Transcriptomes in The Human Biofluid RNA Atlas
Hulstaert, E., Morlion, A., Cobos, F. A., Verniers, K., Nuytens, J., Eynde, E. V., Yigit, N., Anckaert, J., Geerts, A. M., Hindryckx, P., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108552 · Cited by 97 · see citing works
Delmont, T. O., & Eren, A. M. (2016) · PeerJ · doi:10.7717/peerj.1839 · Cited by 95 · see citing works
Adriaenssens, E. M., Farkas, K., Harrison, C., Jones, D. L., Allison, H. E., & McCarthy, A. J. (2018) · mSystems · doi:10.1128/msystems.00025-18 · Cited by 90 · see citing works
Validation of picogram- and femtogram-input DNA libraries for microscale metagenomics
Rinke, C., Low, S., Woodcroft, B. J., Raina, J., Skarshewski, A., Le, X. H., Butler, M. K., Stocker, R., Seymour, J. R., Tyson, G. W., et al. (2016) · PeerJ · doi:10.7717/peerj.2486 · Cited by 88 · see citing works
The tumor virus landscape of AIDS-related lymphomas
Arvey, A. J., Ojesina, A. I., Pedamallu, C. S., Ballon, G., Jung, J., Duke, F. F., Leoncini, L., Falco, G. D., Bressman, E., Tam, W., et al. (2015) · Blood · doi:10.1182/blood-2014-11-599951 · Cited by 88 · see citing works
Kawada, J., Okuno, Y., Torii, Y., Okada, R., Hayano, S., Ando, S., Kamiya, Y., Kojima, S., & Ito, Y. (2016) · Scientific Reports · doi:10.1038/srep33452 · Cited by 86 · see citing works
From trash to treasure: detecting unexpected contamination in unmapped NGS data
Sangiovanni, M., Granata, I., Thind, A. S., & Guarracino, M. R. (2019) · BMC Bioinformatics · doi:10.1186/s12859-019-2684-x · Cited by 85 · see citing works
Lecomte, E., Tournaire, B., Cogné, B., Dupont, J.-B., Lindenbaum, P., Martin-Fontaine, M., Broucque, F., Robin, C., Hebben, M., Merten, O.-W., et al. (2015) · Molecular Therapy - Nucleic Acids · doi:10.1038/mtna.2015.32 · Cited by 83 · see citing works
Contamination Issue in Viral Metagenomics: Problems, Solutions, and Clinical Perspectives
Jurasz, H., Pawłowski, T., & Perlejewski, K. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.745076 · Cited by 83 · see citing works
The reuse of public datasets in the life sciences: potential risks and rewards
Sielemann, K., Hafner, A., & Pucker, B. (2020) · PeerJ · doi:10.7717/peerj.9954 · Cited by 80 · see citing works
Viral Encephalitis of Unknown Cause: Current Perspective and Recent Advances
Kennedy, P. G. E., Quan, P., & Lipkin, W. I. (2017) · Viruses · doi:10.3390/v9060138 · Cited by 80 · see citing works
Chen, Y., Fan, L., Chai, Y., & Xu, J. (2022) · The Clinical Respiratory Journal · doi:10.1111/crj.13538 · Cited by 70 · see citing works
High Throughput Sequencing for the Detection and Characterization of RNA Viruses
Fitzpatrick, A., Rupnik, A., O’Shea, H., Crispie, F., Keaveney, S., & Cotter, P. D. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.621719 · Cited by 68 · see citing works
Chrisman, B., He, C., Jung, J.-Y., Stockham, N., Paskov, K. M., Washington, P. Y., & Wall, D. P. (2022) · Scientific Reports · doi:10.1038/s41598-022-13269-z · Cited by 68 · see citing works
Guizzo, M. G., Neupane, S., Kučera, M., Perner, J., Frantová, H., Vaz, I. D. S., de Oliveira, P. L., Kopáček, P., & Žůrek, L. (2020) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2020.00211 · Cited by 65 · see citing works
Strong, M. J., Blanchard, E., Lin, Z. N., Morris, C. A., Baddoo, M., Taylor, C. M., Ware, M. L., & Flemington, E. K. (2016) · Acta Neuropathologica Communications · doi:10.1186/s40478-016-0338-z · Cited by 64 · see citing works
Self-citationCao, S., Strong, M. J., Wang, X., Moss, W. N., Concha, M., Lin, Z. N., O’Grady, T. M., Baddoo, M., Fewell, C., Renne, R., et al. (2014) · Journal of Virology · doi:10.1128/jvi.02570-14 · Cited by 63 · see citing works
Self-citationNext-generation sequencing diagnostics of bacteremia in sepsis (Next GeneSiS-Trial)
Brenner, T., Decker, S., Grumaz, S., Stevens, P., Bruckner, T., Schmoch, T., Pletz, M. W., Bracht, H., Hofer, S., Marx, G., et al. (2018) · Medicine · doi:10.1097/md.0000000000009868 · Cited by 63 · see citing works
Mangul, S., Yang, H. T., Strauli, N. B., Gruhl, F., Porath, H. T., Hsieh, K., Chen, L., Daley, T., Christenson, S. A., Wesolowska‐Andersen, A., et al. (2018) · Genome biology · doi:10.1186/s13059-018-1403-7 · Cited by 58 · see citing works
Human Contamination in Public Genome Assemblies
Kryukov, K. A., & Imanishi, T. (2016) · PLoS ONE · doi:10.1371/journal.pone.0162424 · Cited by 58 · see citing works
Perlejewski, K., Popiel, M., Laskus, T., Nakamura, S., Motooka, D., Stokowy, T., Lipowski, D., Pollak, A., Lechowicz, U., Cortés, K. C., et al. (2015) · Journal of Virological Methods · doi:10.1016/j.jviromet.2015.09.010 · Cited by 56 · see citing works
Bukowska‐Ośko, I., Perlejewski, K., Nakamura, S., Motooka, D., Stokowy, T., Kosińska, J., Popiel, M., Płoski, R., Horban, A., Lipowski, D., et al. (2016) · Advances in experimental medicine and biology · doi:10.1007/5584_2016_42 · Cited by 56 · see citing works
Borner, J., & Burmester, T. (2017) · BMC Genomics · doi:10.1186/s12864-017-3504-1 · Cited by 54 · see citing works
A virome-wide clonal integration analysis platform for discovering cancer viral etiologyPreprint
Chen, X., Kost, J., Sulovari, A., Wong, N., Liang, W. S., Cao, J. P., & Li, D. (2019) · Genome Research · doi:10.1101/gr.242529.118 · Cited by 54 · see citing works
COVID-19 and human reproduction: A pandemic that packs a serious punch
Anifandis, G., Tempest, H. G., Oliva, R., Swanson, G., Simopoulou, M., Easley, C. A., Primig, M., Messini, C. I., Turek, P. J., Šutovský, P., et al. (2021) · Systems Biology in Reproductive Medicine · doi:10.1080/19396368.2020.1855271 · Cited by 53 · see citing works
Winters, J. L., Davila, J. I., McDonald, A. M., Nair, A., Fadra, N., Wehrs, R. N., Thomas, B. C., Balcom, J. R., Jin, L. G., Wu, X., et al. (2018) · Journal of Molecular Diagnostics · doi:10.1016/j.jmoldx.2018.03.007 · Cited by 51 · see citing works
Presence of periodontal pathogenic bacteria in blood of patients with coronary artery disease
Corredor, Z., Suárez-Molina, A., Fong, C., Cifuentes-C, L., & Guauque-Olarte, S. (2022) · Scientific Reports · doi:10.1038/s41598-022-05337-1 · Cited by 48 · see citing works
De novo identification of microbial contaminants in low microbial biomass microbiomes with Squeegee
Liu, Y., Elworth, R. A. L., Jochum, M. D., Aagaard, K. M., & Treangen, T. J. (2022) · Nature Communications · doi:10.1038/s41467-022-34409-z · Cited by 44 · see citing works
Claver, C., Canals, O., de Amézaga, L. G., Mendibil, I., & Rodríguez‐Ezpeleta, N. (2023) · Environmental DNA · doi:10.1002/edn3.433 · Cited by 39 · see citing works
Zhao, F., Zhou, G., Liu, X., Song, S., Xu, X., Hooiveld, G. J. E. J., Müller, M. M., Liu, L., Kristiansen, K., & Li, C. (2019) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201900589 · Cited by 38 · see citing works
Diagnostic Testing of Neurologic Infections
Ramachandran, P., & Wilson, M. R. (2018) · Neurologic Clinics · doi:10.1016/j.ncl.2018.07.004 · Cited by 37 · see citing works
Lejal, E., Estrada‐Peña, A., Marsot, M., Cosson, J., Rué, O., Mariadassou, M., Midoux, C., Vayssier‐Taussat, M., & Pollet, T. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.01093 · Cited by 37 · see citing works
Miller, S., Naccache, S., Samayoa, E., Messacar, K., Arevalo, S., Federman, S., Stryke, D., Pham, E., Fung, B., Bolosky, W., et al. (2018) · doi:10.1101/330381 · Cited by 583 · see citing works
Marcelino, V. R., Irinyi, L., Eden, J., Meyer, W., Holmes, E. C., & Sorrell, T. C. (2019) · IMA Fungus · doi:10.1186/s43008-019-0012-8 · Cited by 36 · see citing works
Campbell, L. J., Hammond, S. A., Price, S. J., Sharma, M. D., Garner, T. W. J., Birol, İ., Helbing, C. C., Wilfert, L., & Griffiths, A. G. F. (2018) · Molecular Ecology · doi:10.1111/mec.14528 · Cited by 35 · see citing works
Clinical applications of metagenomics next-generation sequencing in infectious diseases
Liu, Y., & Ma, Y. (2024) · Journal of Zhejiang University SCIENCE B · doi:10.1631/jzus.b2300029 · Cited by 34 · see citing works
Tumour virology in the era of high-throughput genomics
Tang, K., & Larsson, E. (2017) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2016.0265 · Cited by 33 · see citing works
Next-Generation Sequencing for Pathogen Detection and Identification
Frey, K. G., & Bishop‐Lilly, K. A. (2015) · Methods in microbiology · doi:10.1016/bs.mim.2015.06.004 · Cited by 32 · see citing works
Plasmid DNA contaminant in molecular reagents
Wally, N., Schneider, M., Thannesberger, J., Kastner, M.-T., Bakonyi, T., Indik, S., Rattei, T., Bedarf, J. R., Hildebrand, F., Law, J. L., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-38733-1 · Cited by 29 · see citing works
Defending Our Public Biological Databases as a Global Critical Infrastructure
Caswell, J., Gans, J. D., Generous, N., Hudson, C. M., Merkley, E. D., Johnson, C. M., OEHMEN, C. S., Omberg, K. M., Purvine, E., Taylor, K., et al. (2019) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2019.00058 · Cited by 28 · see citing works
Abdelrahman, K. N., Ghany, A. G. A. A., Saber, R., Osman, A., Sitohy, B., & Sitohy, M. Z. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e32222 · Cited by 28 · see citing works
Culture-Independent Diagnostics for Health Security
Doggett, N. A., Mukundan, H., Lefkowitz, E. J., Slezak, T., Chain, P., Morse, S., Anderson, K., Hodge, D. R., & Pillai, S. P. (2016) · Health Security · doi:10.1089/hs.2015.0074 · Cited by 28 · see citing works
Decontaminating eukaryotic genome assemblies with machine learning
Fierst, J. L., & Murdock, D. A. (2017) · BMC Bioinformatics · doi:10.1186/s12859-017-1941-0 · Cited by 27 · see citing works
Quintana, J. F., Kumar, S., Ivens, A. C., Chow, F. W., Hoy, A. M., Fulton, A., Dickinson, P., Martin, C., Taylor, M. D., Babayan, S. A., et al. (2019) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0007811 · Cited by 26 · see citing works
Qian, L., Shi, Y., Li, F., Wang, Y., Ma, M., Zhang, Y., Shao, Y. W., Zheng, G., & Zhang, G. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.596175 · Cited by 26 · see citing works
A Review of the Impact of Alterations in Gut Microbiome on the Immunopathogenesis of Ocular Diseases
Bu, Y., Chan, Y. K., Wong, H. L., Poon, S. H. L., Lo, A., Shih, K. C., & Tong, L. H. T. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10204694 · Cited by 26 · see citing works
Three distinct pneumotypes characterize the microbiome of the lung in BALB/cJ mice
Scheiermann, J., & Klinman, D. M. (2017) · PLoS ONE · doi:10.1371/journal.pone.0180561 · Cited by 24 · see citing works
Pallen, M. J. (2016) · Microbial Biotechnology · doi:10.1111/1751-7915.12389 · Cited by 24 · see citing works
Screening human cell lines for viral infections applying RNA-Seq data analysis
Uphoff, C. C., Pommerenke, C., Denkmann, S. A., & Drexler, H. G. (2019) · PLOS ONE · doi:10.1371/journal.pone.0210404 · Cited by 24 · see citing works
Optimization of cerebrospinal fluid microbial DNA metagenomic sequencing diagnostics
Olausson, J., Brunet, S., Vracar, D., Tian, Y., Abrahamsson, S., Meghadri, S. H., Sikora, P., Karlberg, M. L., Jakobsson, H. E., & Tang, K. (2022) · Scientific Reports · doi:10.1038/s41598-022-07260-x · Cited by 23 · see citing works
The application status of sequencing technology in global respiratory infectious disease diagnosis
Chen, J., Qin, Z., & Jia, Z. (2024) · Infection · doi:10.1007/s15010-024-02360-4 · Cited by 23 · see citing works
What human sperm RNA-Seq tells us about the microbiome
Swanson, G., Moskovtsev, S. I., Librach, C. L., Pilsner, J. R., Goodrich, R. J., & Krawetz, S. A. (2020) · Journal of Assisted Reproduction and Genetics · doi:10.1007/s10815-019-01672-x · Cited by 23 · see citing works
Moragues-Solanas, L., Le-Viet, T., McSorley, E., Halford, C., Lockhart, D. S., Aydin, A., Kay, G. L., Elumogo, N., Mullen, W. H., O’Grady, J., et al. (2024) · BMC Medical Genomics · doi:10.1186/s12920-024-01835-5 · Cited by 22 · see citing works
A systematic sequencing-based approach for microbial contaminant detection and functional inference
Park, S., Onizuka, S., Seki, M., Suzuki, Y., Iwata, T., & Nakai, K. (2019) · BMC Biology · doi:10.1186/s12915-019-0690-0 · Cited by 22 · see citing works
MetaMap: an atlas of metatranscriptomic reads in human disease-related RNA-seq data
Simon, L. M., Karg, S., Westermann, A. J., Engel, M., Elbehery, A. H. A., Hense, B. A., Heinig, M., Deng, L., & Theis, F. J. (2018) · GigaScience · doi:10.1093/gigascience/giy070 · Cited by 22 · see citing works
Evaluation of a portable nanopore-based sequencer for detection of viruses in water
Ji, P., Aw, T. G., Bonn, W. G. V., & Rose, J. B. (2019) · Journal of Virological Methods · doi:10.1016/j.jviromet.2019.113805 · Cited by 22 · see citing works
De Novo Transcriptome Meta-Assembly of the Mixotrophic Freshwater Microalga Euglena gracilis
Córdoba, J., Perez, E., Vlierberghe, M. V., Bertrand, A. R., Lupo, V., Cardol, P., & Baurain, D. (2021) · Genes · doi:10.3390/genes12060842 · Cited by 22 · see citing works
Tan, S., Dvorak, C. M. T., Estrada, A. A., Gebhart, C. J., Marthaler, D., & Murtaugh, M. P. (2019) · Journal of Microbiological Methods · doi:10.1016/j.mimet.2019.105817 · Cited by 22 · see citing works
Metagenomic Composition Analysis of an Ancient Sequenced Polar Bear Jawbone from Svalbard
Pratas, D., Hosseini, M., Grilo, G., Pinho, A. J., Silva, R. M., Caetano, T., Carneiro, J., & Pereira, F. (2018) · Genes · doi:10.3390/genes9090445 · Cited by 21 · see citing works
Towards a Universal Molecular Microbiological Test
Allcock, R. J. N., Jennison, A. V., & Warrilow, D. (2017) · Journal of Clinical Microbiology · doi:10.1128/jcm.01155-17 · Cited by 20 · see citing works
Mapping-based genome size estimation
Natarajan, S., Gehrke, J., & Pucker, B. (2025) · BMC Genomics · doi:10.1186/s12864-025-11640-8 · Cited by 20 · see citing works
Gumińska, N., Płecha, M., Walkiewicz, H., Hałakuc, P., Zakryś, B., & Milanowski, R. (2018) · Journal of Applied Phycology · doi:10.1007/s10811-018-1496-0 · Cited by 20 · see citing works
Assessing the Iatrogenic Contribution to Contamination During Root Canal Treatment
Zahran, S. S., Mannocci, F., & Koller, G. (2022) · Journal of Endodontics · doi:10.1016/j.joen.2022.01.007 · Cited by 19 · see citing works
Evaluation of a high-throughput, cost-effective Illumina library preparation kit
Tvedte, E. S., Michalski, J. M., Cheng, S., Patkus, R. S., Tallon, L. J., Sadzewicz, L., Bruno, V. M., da Silva, J. C. F., Rasko, D. A., & Hotopp, J. C. D. (2021) · Scientific Reports · doi:10.1038/s41598-021-94911-0 · Cited by 18 · see citing works
Nakhoul, H. N., Lin, Z. N., Wang, X., Roberts, C., Dong, Y., & Flemington, E. K. (2019) · mSphere · doi:10.1128/msphere.00248-19 · Cited by 18 · see citing works
Self-citationUsman, Τ., Hadlich, F., Demasius, W., Weikard, R., & Kühn, C. (2016) · Genomics · doi:10.1016/j.ygeno.2016.11.009 · Cited by 17 · see citing works
Ntai, A., Baronchelli, S., Spada, A., Moles, A., Guffanti, A., Blasio, P. D., & Biunno, I. (2017) · Biopreservation and Biobanking · doi:10.1089/bio.2016.0097 · Cited by 15 · see citing works
Contaminations in (meta)genome data: An open issue for the scientific community
Simone, G. D., Pasquadibisceglie, A., Proietto, R., Polticelli, F., Aime, S., den Camp, H. J. M. O., & Ascenzi, P. (2019) · IUBMB Life · doi:10.1002/iub.2216 · Cited by 15 · see citing works
Sobral, A. F., Dinis‐Oliveira, R. J., & Barbosa, D. J. (2024) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2024.103163 · Cited by 14 · see citing works
Tekle, Y. I., Lyttle, J. M., Blasingame, M. G., & Wang, F. (2021) · Scientific Reports · doi:10.1038/s41598-021-87192-0 · Cited by 14 · see citing works
Profiling the B/T cell receptor repertoire of lymphocyte derived cell lines
Tan, K., Ding, L., Sun, Q., Lao, Z., Chien, W., Ren, X., Xiao, J.-F., Loh, X. Y., Xu, L., Lill, M., et al. (2018) · BMC Cancer · doi:10.1186/s12885-018-4840-5 · Cited by 13 · see citing works
Kim, J., Maeng, J. H., Lim, J. S., Son, H., Lee, J., Lee, J. H., & Kim, S. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw383 · Cited by 10 · see citing works
- Authors
- Strong, M. J., Xu, G., Morici, L., Splinter Bon-Durant, S., Baddoo, M., Lin, Z., Fewell, C., Taylor, C. M., & Flemington, E. K.
- Affiliations
- Tulane University (US)
- University of California San Diego (US)
- Louisiana State University (US)
- Corresponding author
- Flemington, Erik K.
- Venue
- PLoS Pathogens
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-11-20
- Volume
- 10
- Issue
- 11
- Pages
- e1004437
- ISSN
- 1553-7366 (ISSN-L)
- 1553-7374
- PMC
- PMC4239086
- OpenAlex
- W1974764034
- Cited by
- 186
- References
- 33
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 15 · 2023: 6 · 2022: 14 · 2021: 12 · 2020: 23 · 2019: 30 · 2018: 25 · 2017: 13 · 2016: 27 · 2015: 9 · 2014: 4
- FWCI
- 7.24
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS Pathogens (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- National Institutes of Health
- National Cancer Institute (R01CA138268, F30CA177267)
- National Institute of General Medical Sciences (P20GM103518, U54GM104940)
- National Institute of Allergy and Infectious Diseases (R01AI101046, R01AI106676)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Keywords
- microbial contamination, next-generation sequencing, RNA-seq, bacterial contamination, clinical samples, environmental contamination, pathogen discovery, pathogen diagnosis, sequencing protocols, microbial signatures
- MeSH terms
- Equipment Contamination, Humans, Infections, Databases, Nucleic Acid, High-Throughput Nucleotide Sequencing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review