Source 1primary paper2023PLoS Computational Biology
Toolkit/input reconstruction algorithm
input reconstruction algorithm
Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
The input reconstruction algorithm is a computational method used to infer prior light pulse inputs from cellular signaling outputs. In the cited MAPK/ERK communication study, it detected light pulses with 1-minute accuracy 5 minutes after their occurrence.
Usefulness & Problems
Why this is useful
This method is useful for decoding temporally patterned light stimulation from downstream signaling measurements in an optogenetic communication setting. The available evidence indicates that it enabled reconstruction of pulse timing in a MAPK/ERK pathway study and supported quantification of pathway information transmission.
Problem solved
It addresses the problem of inferring when light pulses occurred from observed cellular signaling outputs rather than from direct input logs alone. In the cited study, this reconstruction capability was used in the context of random light pulse train stimulation to analyze MAPK/ERK signaling communication.
Taxonomy & Function
Primary hierarchy
Technique Branch
Method: A concrete computational method used to design, rank, or analyze an engineered system.
Techniques
Computational DesignTarget processes
No target processes tagged yet.
Input: Light
Implementation Constraints
The available evidence places the method in an epithelial cell line expressing a light-activatable FGF receptor and an ERK activity reporter under random light pulse train stimulation. No further implementation details are provided here regarding software, model inputs, preprocessing, parameterization, or deployment requirements.
The supplied evidence only documents pulse detection accuracy in one MAPK/ERK optogenetic study and does not describe the algorithmic architecture, training procedure, or generalizability. No independent replication, benchmarking against alternative reconstruction methods, or validation across other pathways, cell types, or input modalities is provided here.
Validation
Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication
Supporting Sources
Ranked Claims
The input reconstruction algorithm detects light pulses with 1-minute accuracy 5 minutes after their occurrence.
The input reconstruction algorithm detects the light pulses with 1-min accuracy 5 min after their occurrence.
detection accuracy window 1 mindetection delay 5 min
The input reconstruction algorithm detects light pulses with 1-minute accuracy 5 minutes after their occurrence.
The input reconstruction algorithm detects the light pulses with 1-min accuracy 5 min after their occurrence.
detection accuracy window 1 mindetection delay 5 min
The input reconstruction algorithm detects light pulses with 1-minute accuracy 5 minutes after their occurrence.
The input reconstruction algorithm detects the light pulses with 1-min accuracy 5 min after their occurrence.
detection accuracy window 1 mindetection delay 5 min
The input reconstruction algorithm detects light pulses with 1-minute accuracy 5 minutes after their occurrence.
The input reconstruction algorithm detects the light pulses with 1-min accuracy 5 min after their occurrence.
detection accuracy window 1 mindetection delay 5 min
The input reconstruction algorithm detects light pulses with 1-minute accuracy 5 minutes after their occurrence.
The input reconstruction algorithm detects the light pulses with 1-min accuracy 5 min after their occurrence.
detection accuracy window 1 mindetection delay 5 min
The input reconstruction algorithm detects light pulses with 1-minute accuracy 5 minutes after their occurrence.
The input reconstruction algorithm detects the light pulses with 1-min accuracy 5 min after their occurrence.
detection accuracy window 1 mindetection delay 5 min
The input reconstruction algorithm detects light pulses with 1-minute accuracy 5 minutes after their occurrence.
The input reconstruction algorithm detects the light pulses with 1-min accuracy 5 min after their occurrence.
detection accuracy window 1 mindetection delay 5 min
In an epithelial cell line expressing a light-activatable FGF receptor and an ERK activity reporter, the MAPK/ERK pathway channel capacity is at least 6 bits per hour under random light pulse train stimulation.
By stimulating the cells with random light pulse trains, we demonstrated that the MAPK/ERK channel capacity is at least 6 bits per hour.
channel capacity 6 bits per hour
In an epithelial cell line expressing a light-activatable FGF receptor and an ERK activity reporter, the MAPK/ERK pathway channel capacity is at least 6 bits per hour under random light pulse train stimulation.
By stimulating the cells with random light pulse trains, we demonstrated that the MAPK/ERK channel capacity is at least 6 bits per hour.
channel capacity 6 bits per hour
In an epithelial cell line expressing a light-activatable FGF receptor and an ERK activity reporter, the MAPK/ERK pathway channel capacity is at least 6 bits per hour under random light pulse train stimulation.
By stimulating the cells with random light pulse trains, we demonstrated that the MAPK/ERK channel capacity is at least 6 bits per hour.
channel capacity 6 bits per hour
In an epithelial cell line expressing a light-activatable FGF receptor and an ERK activity reporter, the MAPK/ERK pathway channel capacity is at least 6 bits per hour under random light pulse train stimulation.
By stimulating the cells with random light pulse trains, we demonstrated that the MAPK/ERK channel capacity is at least 6 bits per hour.
channel capacity 6 bits per hour
In an epithelial cell line expressing a light-activatable FGF receptor and an ERK activity reporter, the MAPK/ERK pathway channel capacity is at least 6 bits per hour under random light pulse train stimulation.
By stimulating the cells with random light pulse trains, we demonstrated that the MAPK/ERK channel capacity is at least 6 bits per hour.
channel capacity 6 bits per hour
In an epithelial cell line expressing a light-activatable FGF receptor and an ERK activity reporter, the MAPK/ERK pathway channel capacity is at least 6 bits per hour under random light pulse train stimulation.
By stimulating the cells with random light pulse trains, we demonstrated that the MAPK/ERK channel capacity is at least 6 bits per hour.
channel capacity 6 bits per hour
In an epithelial cell line expressing a light-activatable FGF receptor and an ERK activity reporter, the MAPK/ERK pathway channel capacity is at least 6 bits per hour under random light pulse train stimulation.
By stimulating the cells with random light pulse trains, we demonstrated that the MAPK/ERK channel capacity is at least 6 bits per hour.
channel capacity 6 bits per hour
Approval Evidence
1 source1 linked approval claimfirst-pass slug input-reconstruction-algorithm
The input reconstruction algorithm detects the light pulses with 1-min accuracy 5 min after their occurrence
Source:
algorithm performancesupports
The input reconstruction algorithm detects light pulses with 1-minute accuracy 5 minutes after their occurrence.
The input reconstruction algorithm detects the light pulses with 1-min accuracy 5 min after their occurrence.
Source:
Comparisons
Source-backed strengths
The reported performance is detection of light pulses with 1-minute accuracy 5 minutes after pulse occurrence. The method was applied in a system where an epithelial cell line expressed a light-activatable FGF receptor and an ERK activity reporter, within a study reporting at least 6 bits per hour of MAPK/ERK channel capacity.
Source:
By stimulating the cells with random light pulse trains, we demonstrated that the MAPK/ERK channel capacity is at least 6 bits per hour.
Ranked Citations
- 1.