The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
PINP: A New Method of Tagging Neuronal Populations for Identification during In Vivo Electrophysiological Recording
Open accessAbstract
Neural circuits are exquisitely organized, consisting of many different neuronal subpopulations. However, it is difficult to assess the functional roles of these subpopulations using conventional extracellular recording techniques because these techniques do not easily distinguish spikes from different neuronal populations. To overcome this limitation, we have developed PINP (Photostimulation-assisted Identification of Neuronal Populations), a method of tagging neuronal populations for identification during in vivo electrophysiological recording. The method is based on expressing the light-activated channel channelrhodopsin-2 (ChR2) to restricted neuronal subpopulations. ChR2-tagged neurons can be detected electrophysiologically in vivo since illumination of these neurons with a brief flash of blue light triggers a short latency reliable action potential. We demonstrate the feasibility of this technique by expressing ChR2 in distinct populations of cortical neurons using two different strategies. First, we labeled a subpopulation of cortical neurons-mainly fast-spiking interneurons-by using adeno-associated virus (AAV) to deliver ChR2 in a transgenic mouse line in which the expression of Cre recombinase was driven by the parvalbumin promoter. Second, we labeled subpopulations of excitatory neurons in the rat auditory cortex with ChR2 based on projection target by using herpes simplex virus 1 (HSV1), which is efficiently taken up by axons and transported retrogradely; we find that this latter population responds to acoustic stimulation differently from unlabeled neurons. Tagging neurons is a novel application of ChR2, used in this case to monitor activity instead of manipulating it. PINP can be readily extended to other populations of genetically identifiable neurons, and will provide a useful method for probing the functional role of different neuronal populations in vivo.
Overview
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
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Brain-state- and cell-type-specific firing of hippocampal interneurons in vivo
Klausberger, T., Magill, P. J., Márton, L. F., Roberts, J. D. B., Cobden, P. M., Buzsáki, G., & Somogyi, P. (2003) · Nature · doi:10.1038/nature01374 · Cited by 1,345
Channelrhodopsin-2-assisted circuit mapping of long-range callosal projections
Petreanu, L., Huber, D., Sobczyk, A., & Svoboda, K. (2007) · Nature Neuroscience · doi:10.1038/nn1891 · Cited by 930
Differential attention-dependent response modulation across cell classes in macaque visual area V4
Mitchell, J. F., Sundberg, K. A., & Reynolds, J. H. (2007) · Neuron · doi:10.1016/j.neuron.2007.06.018 · Cited by 665
Chung, S., Li, X., & Nelson, S. B. (2002) · Neuron · doi:10.1016/s0896-6273(02)00659-1 · Cited by 530 · cited 1×
“tested a second method for distinguishing direct from synaptic activation, based on the observation that sensory stimuli do not reliably elicit spikes at high (above 5–10 Hz) repetition rates in cortical neurons [26,27,28], whereas it has been shown that direct activation with ChR2 can elicit spikes at high repetition…”
MethodOptical induction of plasticity at single synapses reveals input-specific accumulation of αCaMKII
Zhang, Y.-P., Holbro, N., & Oertner, T. G. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0802940105 · Cited by 140
Cited by
Optogenetics in neural systems
Yizhar, O., Fenno, L. E., Davidson, T. J., Mogri, M., & Deisseroth, K. (2011) · Neuron · doi:10.1016/j.neuron.2011.06.004 · Cited by 1,881
The development and application of optogenetics
Fenno, L., Yizhar, O., & Deisseroth, K. (2011) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-061010-113817 · Cited by 1,822
A toolbox of Cre-dependent optogenetic transgenic mice for light-induced activation and silencing
Madisen, L., Mao, T., Koch, H., Zhuo, J.-M., Berenyi, A., Fujisawa, S., Hsu, Y.-W. A., Garcia, A. J., Gu, X., Zanella, S., et al. (2012) · Nature Neuroscience · doi:10.1038/nn.3078 · Cited by 1,398
Neuron-type-specific signals for reward and punishment in the ventral tegmental area
Cohen, J. Y., Haesler, S., Vong, L., Lowell, B. B., & Uchida, N. (2012) · Nature · doi:10.1038/nature10754 · Cited by 1,318
Encoding of conditioned fear in central amygdala inhibitory circuits
Ciocchi, S., Herry, C., Grenier, F., Wolff, S. B. E., Letzkus, J. J., Vlachos, I., Ehrlich, I., Sprengel, R., Deisseroth, K., Stadler, M. B., et al. (2010) · Nature · doi:10.1038/nature09559 · Cited by 924
Metadata
- Authors
- Lima, S. Q., Hromádka, T., Znamenskiy, P., & Zador, A. M.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2009-07-07
- Volume
- 4
- Issue
- 7
- Pages
- e6099
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2113381337
- Cited by
- 360
- References
- 5
- FWCI
- 6.02
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: PINP: A New Method of Tagging Neuronal Populations for Identification during In Vivo Electrophysiological Recording. https://app.cochat.ai/papers/10.1371/journal.pone.0006099
- The paper
- Lima, S. Q., Hromádka, T., Znamenskiy, P., & Zador, A. M. (2009). PINP: A New Method of Tagging Neuronal Populations for Identification during In Vivo Electrophysiological Recording. PLoS ONE. https://doi.org/10.1371/journal.pone.0006099
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.