The DOI matches its Crossref record; 136 of the 137 references it cites were found in a registry or an index.
Behavioral Phenotyping Strategies for Mutant Mice
Open accessAbstract
Comprehensive behavioral analyses of transgenic and knockout mice have successfully identified the functional roles of many genes in the brain. Over the past 10 years, strategies for mouse behavioral phenotyping have evolved to maximize the scope and replicability of findings from a cohort of mutant mice, minimize the interpretation of procedural artifacts, and provide robust translational tools to test hypotheses and develop treatments. This Primer addresses experimental design issues and offers examples of high-throughput batteries, learning and memory tasks, and anxiety-related tests.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“In mouse behavioral studies, testing paradigms for learning and memory have been widely accepted (Crawley, 2008; Crawley and Paylor, 1997; Morris, 1981).”
From Modeling Autism by SHANK Gene Mutations in Mice (2013) · cites this paper as Crawley, 2008
Citations
Cites
Developments of a water-maze procedure for studying spatial learning in the rat
Morris, R. (1984) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(84)90007-4 · Cited by 7,180
(1996) · Cited by 3,692
The use of a plus-maze to measure anxiety in the mouse
Lister, R. G. (1987) · Psychopharmacology · doi:10.1007/bf00177912 · Cited by 2,617
Applications of the Morris water maze in the study of learning and memory
D’Hooge, R., & Deyn, P. P. D. (2001) · Brain Research Reviews · doi:10.1016/s0165-0173(01)00067-4 · Cited by 2,083
Reducing Endogenous Tau Ameliorates Amyloid ß-Induced Deficits in an Alzheimer's Disease Mouse Model
Roberson, E. D., Scearce-Levie, K., Palop, J. J., Yan, F., Cheng, I. H., Wu, T., Gerstein, H., Yu, G.-Q., & Mucke, L. (2007) · Science · doi:10.1126/science.1141736 · Cited by 1,892
Genetics of Mouse Behavior: Interactions with Laboratory Environment
Crabbe, J. C., Wahlsten, D., & Dudek, B. C. (1999) · Science · doi:10.1126/science.284.5420.1670 · Cited by 1,666
Geyer, M. A., Krebs-Thomson, K., Braff, D. L., & Swerdlow, N. R. (2001) · Psychopharmacology · doi:10.1007/s002130100811 · Cited by 1,484
Atm-Deficient Mice: A Paradigm of Ataxia Telangiectasia
Barlow, C., Hirotsune, S., Paylor, R. E., Liyanage, M., Eckhaus, M., Collins, F. S., Shiloh, Y., Crawley, J. N., Ried, T., Tagle, D. A., et al. (1996) · Cell · doi:10.1016/s0092-8674(00)80086-0 · Cited by 1,465
Self-citationCrawley, J. N., Belknap, J. K., Collins, A. C., Crabbe, J. C., Frankel, W. N., Henderson, N. D., HITZEMANN, R. J., Maxson, S. C., Miner, L. L., Silva, A. J., et al. (1997) · Psychopharmacology · doi:10.1007/s002130050327 · Cited by 1,372
Self-citationSchemas and Memory Consolidation.
Tse, D., Langston, R. F., Kakeyama, M., Bethus, I., Spooner, P. A., Wood, E. R., Witter, M. P., & Morris, R. G. M. (2007) · Science · doi:10.1126/science.1135935 · Cited by 1,244
Flagged first, then by citations
1 of the 137 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 401–439 of 439
Brain Fires in Autism Spectrum Disorders
Theoharides, T. C., & Stewart, J. M. (2016) · clinics in Mother and Child Health · doi:10.4172/2090-7214.1000226
Untapped resources for pharmacogenomic discovery in psychiatry.
Crowley, J. J., Sullivan, P. F., & McLeod, H. L. (2008) · PubMed
Mutant and Transgenic Tools in Modeling Schizophrenia
Desbonnet, L., Tomiyama, K., Koshikawa, N., O’Tuathaigh, C. M. P., & Waddington, J. L. (2009) · Neuromethods · doi:10.1007/978-1-60761-474-6_12
Conditional Gene Targeting: A Refined Method for Genetic Studies in Neurosciences
Beil, J., Mansuy, I. M., & Buch, T. (2013) · Neuromethods · doi:10.1007/978-1-62703-517-0_1
Lam, E. (2012) · TSpace (University of Toronto)
Emotional regulation and the limbic system associated membrane protein.
Catania, E. H. (2008) · Europe PMC (PubMed Central)
Ciarlone, S. L. (2016) · Digital Commons - University of South Florida (University of South Florida)
Brooks, L. R. (2014) · CU Scholar (University of Colorado Boulder)
Tsoory, M., Fainzilber, M., & Panayotis, N. (2014)
Woo, H. J., & Jaques Reifman, A. (2018) · BMC Psychiatry · doi:10.1186/s12888-018-1753-4 · Cited by 1
Couture, P. (2019) · uO Research (University of Ottawa) · doi:10.20381/ruor-23143
Tactile discrimination learning in mice
Pacchiarini, N. (2019) · ORCA Online Research @Cardiff (Cardiff University)
Characterization of Nonmotor Symptoms in the MitoPark Mouse Model of Parkinson’s DiseasePreprint
Langley, M. R., Ghaisas, S., Palanisamy, B. N., Ay, M., Jin, H., Anantharam, V., Kanthasamy, A., & Kanthasamy, A. G. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.02.365874
Faculty Opinions recommendation of Prkcz null mice show normal learning and memory.
Giese, K.-P. (2013) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.717970681.793469227
Mahlke, C. (2010) · Spektrum Akademischer Verlag eBooks · doi:10.1007/978-3-8274-2369-6_9
Teegarden, S. L. (2012) · 实验材料和方法 · doi:10.13070/mm.cn.2.122
(2010) · Elsevier eBooks · doi:10.1016/b978-0-12-375674-9.10021-7
Growing uncultured bacteria from the human gut microbiome
Strandwitz, P. (2016) · doi:10.17760/d20201758
Use of Data from Transgenic Animals in Safety Pharmacology
Redfern, W. S. (2023) · Springer eBooks · doi:10.1007/978-3-030-73317-9_81-1
Use of Data from Transgenic Animals in Safety Pharmacology
Redfern, W. S. (2024) · Springer eBooks · doi:10.1007/978-3-031-35529-5_81
Sukmara, S., Sianipar, N. F., Hadisaputri, Y. E., Assidqi, K., & So, I. G. (2025) · AIP conference proceedings · doi:10.1063/5.0249426
Upregulated SEMA3C in astrocytes contributes to Rett Syndrome phenotypesPreprint
Lyon, K. A., Paumier, A., Kandikonda, A., Melendez, A., & Allen, N. J. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.10.681027
Михайлович, Ч. С., Gerasimenko, M., Yuhi, T., Furuhara, K., Tsuji, C., Yokoyama, S., Nakayama, K. I., Nishiyama, M., & Higashida, H. (2021) · Figshare · doi:10.6084/m9.figshare.14525969
Cherepanov, S. M., Gerasimenko, M., Yuhi, T., Furuhara, K., Tsuji, C., Yokoyama, S., Nakayama, K. I., Nishiyama, M., & Higashida, H. (2021) · Figshare · doi:10.6084/m9.figshare.14525966
Михайлович, Ч. С., Gerasimenko, M., Yuhi, T., Furuhara, K., Tsuji, C., Yokoyama, S., Nakayama, K. I., Nishiyama, M., & Higashida, H. (2021) · Figshare · doi:10.6084/m9.figshare.14525963
Ehrenhofer‐Murray, A. E. (2025) · Springer eBooks · doi:10.1007/978-3-662-70328-1_14
Chen, S., Qiu, Z., Peng, Q., Liu, L., Wu, Y., Li, Y., Zhang, C., Yang, X., & Ma, P. (2026) · Toxicology Research · doi:10.1093/toxres/tfaf168
Rôle de Scribble1 dans la formation des synapses glutamatergiques et le trafic des récepteurs NMDA
Piguel, N. H. (2010) · theses.fr (ABES) · doi:10.70675/df9c39f9zd4f5z42c6z9dcfzb990c91e9dee
Unraveling the physiopathological actions of the newly discovered Aη peptides in the brain
Mensch, M. (2020) · theses.fr (ABES) · doi:10.70675/476a3b23ze46ez4002z9ae4z91bd09be5c76
Yao, W., Wise, B. L., Lin, Y., Fan, M., Xu, S., Ju, I.-S., Berg, J. I., Silverman, J. L., Loots, G. G., & Christiansen, B. (2026) · JBMR Plus · doi:10.1093/jbmrpl/ziag085
Singhal, G., & Baune, B. T. (2026) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2026.1861841
Age-Associated Behavioral Alterations in Laboratory-Housed Octodon degus
Bai, H., Liu, Y., Seluanov, A., & Gorbunova, V. A. (2026) · Biology · doi:10.3390/biology15161352
Moraru, M. V., Coman, O. A., Zugravu, A., Stoleru, S., Ghiță, C. I. V., Costescu, M., Poenaru, E., Dragomir, A.-F., Barbu, A. C., Luncă, D.-C., et al. (2026) · Pharmaceuticals · doi:10.3390/ph19081282
Chudasama, Y., Pearson, A., Drazan, T., Bradley, S., Thurm, A., Buxbaum, J. D., & Silverman, J. L. (2026) · Research Square · doi:10.21203/rs.3.rs-10821151/v1
Yuanshan, H. A. N., He, K., Yang, H., Dai, J., Chen, R., Liu, Y., Wang, Y., Tang, L., & Zhao, H. (2026) · Animal Models and Experimental Medicine · doi:10.1002/ame2.70295
Silverman, J. L., Haouchine, O. Y., Roy, D., & Monsen, E. R. (2026) · Current topics in behavioral neurosciences · doi:10.1007/7854_2026_617
Metadata
- Authors
- Crawley, J. N.
- Affiliations
- National Institute of Mental Health (US)
- Corresponding author
- Crawley, Jacqueline N.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2008-03
- Volume
- 57
- Issue
- 6
- Pages
- 809-818
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2104202813
- Cited by
- 439
- References
- 137
- Citations by year
- 2026: 13 · 2025: 21 · 2024: 12 · 2023: 13 · 2022: 23 · 2021: 17 · 2020: 31 · 2019: 19 · 2018: 28 · 2017: 30 · 2016: 23 · 2015: 32 · 2014: 35 · 2013: 26 · 2012: 32
- FWCI
- 2.01
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Mental Health
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- behavioral phenotyping, mouse mutants, knockout mice, transgenic mice, experimental design, anxiety-like behavior, translational neuroscience
- MeSH terms
- Animals, Behavior, Animal, Disease Models, Animal, Female, Male, Mice, Neurologic Mutants, Phenotype, Mice
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