Source Paper
High-fat diet disrupts a septal control on feeding to promote obesity in male mice
Jiang S, Lai S, Jing H, Wu X, Li F et al.
Nat Commun • 2025
Source Paper
Jiang S, Lai S, Jing H, Wu X, Li F et al.
Nat Commun • 2025
Objective: Single-cell calcium imaging to record neuronal activity in the lateral septum (LS) during food consumption in freely moving mice
This is a Single-cell calcium imaging during food consumption protocol using Mouse as the model organism. The procedure involves 7 procedural steps, 2 equipment items, 4 materials. Extracted from a 2025 paper published in Nat Commun.
Model and subjects
Mouse • Gad2-Cre mice • Male • Adult • Not specified for calcium imaging specifically
Study window
~6 week study window | ~10 minutes hands-on
Core workflow
Viral injection and GRIN lens implantation • Recovery period • Baseplate attachment
Primary readouts
Key equipment and reagents
Verified items
0
Direct vendor links
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Inject 200 nl of AAV2/9-hEF1a-DIO-GCaMP6s into the LS at coordinates AP: +0.5 mm, ML: ±0.45 mm, DV: –2.8 mm at 60 nl/min injection rate. Insert GRIN lens 100 µm above injection site and secure with dental cement.
“inject 200 nl of AAV virus solution into the LS at a slow rate (60 nl/min)”
Allow mice to recover for at least 3 weeks after viral injection and GRIN lens implantation.
“at least three weeks prior to any manipulations to allow for viral infection”
After 4-6 weeks of GCaMP6s injection, fix a baseplate that matches the miniscope to each mouse's skull with dental cement.
“After 4-6 weeks of GCaMP6s injection, a baseplate that matched the miniscope was fixed”
Provide mice with 10-minute adaptive training sessions for at least 3 days before imaging to habituate them to the experimental setup.
“mice received 10-minute adaptive training for at least 3 days”
Randomly place food pellets for freely moving mice and simultaneously record calcium imaging data during food consumption. Include at least 10 food intake periods per imaging session.
“There were at least 10 food intake periods during the whole imaging session”
Acquire imaging data at 30-Hz frame rate using UCLA Miniscope-DAQ-DT-Software.
“Imaging data were acquired at a 30-Hz frame rate and collected using UCLA Miniscope-DAQ-DT-Software”
Process calcium signals using CNMF-E software to extract motion-corrected GCaMP6s fluorescence dynamics from individual neurons. Quantify as Z-scores or ΔF/F values with baselines defined as mean fluorescence during first 2 seconds of each trial.
“Calcium signal processing was performed using CNMF-E software to extract motion-corrected GCaMP6s fluorescence dynamics”
This section explains what the experiment is doing, which readouts matter, what the data artifacts usually look like, and how the analysis should flow from raw capture to reported result.
Single-cell calcium imaging to record neuronal activity in the lateral septum (LS) during food consumption in freely moving mice
Objective
Single-cell calcium imaging to record neuronal activity in the lateral septum (LS) during food consumption in freely moving mice
Subjects
From paperMouse • Gad2-Cre mice • Male • Adult
Sample count
From paperNot specified for calcium imaging specifically
Viral injection and GRIN lens implantation (Injection needle left in place for 10 min after injection)
Recovery period (At least 3 weeks)
Baseplate attachment (4-6 weeks post-injection)
Adaptive training (10 minutes per day for at least 3 days)
Single-cell calcium fluorescence traces
From paperThis readout is central to the experiment's endpoint interpretation and should be reviewed before running the analysis.
Artifact type
Representative image panels with region or marker comparisons
Comparison focus
Compare staining intensity, structure, or cell counts across matched conditions
Neuronal response classification (activated, inhibited, no response)
From paperThis readout is central to the experiment's endpoint interpretation and should be reviewed before running the analysis.
Artifact type
Endpoint measurements summarized by group or timepoint
Comparison focus
Compare endpoint magnitude between groups, timepoints, or both
Population vector analysis of ensemble responses
From paperThis readout is central to the experiment's endpoint interpretation and should be reviewed before running the analysis.
Artifact type
Endpoint measurements summarized by group or timepoint
Comparison focus
Compare endpoint magnitude between groups, timepoints, or both
Trial-by-trial decoding accuracy for food type discrimination
From paperThis readout is central to the experiment's endpoint interpretation and should be reviewed before running the analysis.
Artifact type
Endpoint measurements summarized by group or timepoint
Comparison focus
Compare endpoint magnitude between groups, timepoints, or both
Single-cell calcium fluorescence traces
From paperRaw artifact
Field or section images captured from matched samples
Processed artifact
Selected representative panels with quantified intensity, counts, or area measurements
Final reported form
Per-group imaging summaries with representative figures and quantified endpoints
Neuronal response classification (activated, inhibited, no response)
From paperRaw artifact
Per-sample or per-animal endpoint measurements collected during the experiment
Processed artifact
Structured table with cleaned measurements ready for comparison
Final reported form
Summary statistics and between-group or across-timepoint comparisons
Population vector analysis of ensemble responses
From paperRaw artifact
Per-sample or per-animal endpoint measurements collected during the experiment
Processed artifact
Structured table with cleaned measurements ready for comparison
Final reported form
Summary statistics and between-group or across-timepoint comparisons
Trial-by-trial decoding accuracy for food type discrimination
From paperRaw artifact
Per-sample or per-animal endpoint measurements collected during the experiment
Processed artifact
Structured table with cleaned measurements ready for comparison
Final reported form
Summary statistics and between-group or across-timepoint comparisons
Acquisition
Collect raw experimental outputs with enough metadata to preserve sample identity, condition, and timing.
Preprocessing / cleaning
Review raw outputs for quality, remove unusable captures, and organize the data into a comparison-ready table or image set.
Scoring or quantification
Quantify the primary readouts for this experiment: Single-cell calcium fluorescence traces; Neuronal response classification (activated, inhibited, no response); Population vector analysis of ensemble responses; Trial-by-trial decoding accuracy for food type discrimination.
Statistical comparison
Statistical method not yet structured for this page.
Reporting output
Report representative outputs alongside summary comparisons for Single-cell calcium fluorescence traces, Neuronal response classification (activated, inhibited, no response), Population vector analysis of ensemble responses, Trial-by-trial decoding accuracy for food type discrimination.
Source links and direct wording from the methods section for validation and deeper review.
Citation
Jiang S et al. (2025). High-fat diet disrupts a septal control on feeding to promote obesity in male mice. Nat Commun
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Direct vendor pages are linked from the protocol above. This section stays focused on the full comparison view and the prep checklist.
Gather these items before starting the experiment. Check off items as you prepare.
Open Ephys • UCLA Miniscope V4
RWD Life Science Co., LTD., China • Not specified
Taitool Bioscience • S0351-9
Not specified • Not specified
Not specified • Not specified
Drummond Scientific Company • Not specified
1 item with ReplicateScience direct pages
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Current status surfaces were computed from experiment data updated Feb 28, 2026.
Source access
Jump back into the original paper or the methods evidence section when you need exact wording, exclusions, or method-specific caveats.
This protocol has structured steps plus evidence quotes, and is ready for canonical sync.
Steps
7
Evidence Quotes
7
Protocol Items
6
Linked Products
1
Canonical Sync
Pending
What this means
The completeness score reflects how much structured protocol data is present: steps, methods evidence, listed materials, linked products, and paper provenance.
Computed from the current experiment record updated Feb 28, 2026.
Canonical Sync shows whether a ConductGraph-backed protocol is available for this experiment route right now. It is a sync-status signal, not a claim that every downstream vendor link or step detail is perfect.
Steps
7
Evidence
7
Specific Products
1/1
Canonical Sync
Pending
What this score means
The verification score reflects evidence coverage, subject detail, paper provenance, step depth, and whether linked products resolve to specific item pages instead of generic searches.
Computed from the current experiment record updated Feb 28, 2026.
A page can have structured steps and still need review when evidence is thin, product links are generic, or canonical protocol coverage is still pending.