Project info 1 Experiment Date2021-12-21 Experiment ID Notebook ID Project Experimenter Protocol Project info 1 Experiment Date2021-12-21 Experiment ID Notebook ID Project Experimenter Protocol EFS 5µM Step by step instructions for fitting dose-response curves How the data are organized
The X values are the logarithms of molar concentration. The first row represents basal response with no agonist. Since the log of zero is undefined, the first X value is entered as -10 -- a very low concentration of agonist, so low as to be effectively the same as zero.

The Y values are responses (in triplicate) in two experimental conditions. Note that treatment groups are not defined by a separate grouping variable column, but rather by separate Y columns. Blank cells represent missing data.

The goal
To fit a dose-response curve to determine the EC50 of the drug (the concentration that gives a response half-way between baseline and maximal).

How to fit a dose response curve
1. Click Analyze.
2. Choose Nonlinear regression from the list of XY analyses.
3. Choose the panel of equations: Dose-response -- Stimulation
4. Choose Log(Dose) vs. response -- variable slope Frequence (Hz) 2,00 4,00 8,00 16,00 32,00 DMSO 30,126380 46,305270 97,768490 180,970800 196,311600 10,148110 19,667760 50,210120 115,447200 125,490000 7,220370 17,121990 51,961600 211,124600 263,493700 3,923201 17,607500 38,898710 97,965900 247,563100 1,840818 0,855352 1,619681 24,395000 63,983570 NAV2729, 5 µM 23,043050 31,753220 54,303230 132,859200 148,699800 10,212960 15,005440 27,594270 63,169430 71,171100 9,029228 35,047240 38,990310 125,451500 152,122900 0,6208683 1,694834 6,422259 14,549370 59,303030 0,2473252 -1,176749 -0,9125909 43,236460 51,888660
EFS 10µM Step by step instructions for fitting dose-response curves How the data are organized
The X values are the logarithms of molar concentration. The first row represents basal response with no agonist. Since the log of zero is undefined, the first X value is entered as -10 -- a very low concentration of agonist, so low as to be effectively the same as zero.

The Y values are responses (in triplicate) in two experimental conditions. Note that treatment groups are not defined by a separate grouping variable column, but rather by separate Y columns. Blank cells represent missing data.

The goal
To fit a dose-response curve to determine the EC50 of the drug (the concentration that gives a response half-way between baseline and maximal).

How to fit a dose response curve
1. Click Analyze.
2. Choose Nonlinear regression from the list of XY analyses.
3. Choose the panel of equations: Dose-response -- Stimulation
4. Choose Log(Dose) vs. response -- variable slope Frequence (Hz) 2,00 4,00 8,00 16,00 32,00 DMSO 0,3138939 3,006774 15,479930 34,693540 63,588300 9,658469 15,670670 28,866460 108,767600 142,954400 4,026477 5,134172 13,424200 49,549930 83,131390 5,935368 10,143180 25,851900 116,868400 135,395600 16,609990 29,216300 67,615290 160,760200 193,848300 5,031320 7,536876 18,622450 100,025300 165,510700 5,404366 11,924220 39,523030 149,610500 167,150700 NAV2729, 10 µM 1,480525 2,549067 6,220897 22,631880 45,522310 3,201228 6,010448 12,962620 44,045510 114,686200 0,3979995 -0,1836503 1,573985 19,216760 50,298750 5,693118 7,682912 16,380900 56,145090 78,102330 14,938010 23,517740 49,881300 139,621100 165,927400 4,090008 7,442877 20,393230 82,842980 123,034400 5,596273 12,471740 34,593660 100,084800 127,816200
EFS L-NAME Step by step instructions for fitting dose-response curves How the data are organized
The X values are the logarithms of molar concentration. The first row represents basal response with no agonist. Since the log of zero is undefined, the first X value is entered as -10 -- a very low concentration of agonist, so low as to be effectively the same as zero.

The Y values are responses (in triplicate) in two experimental conditions. Note that treatment groups are not defined by a separate grouping variable column, but rather by separate Y columns. Blank cells represent missing data.

The goal
To fit a dose-response curve to determine the EC50 of the drug (the concentration that gives a response half-way between baseline and maximal).

How to fit a dose response curve
1. Click Analyze.
2. Choose Nonlinear regression from the list of XY analyses.
3. Choose the panel of equations: Dose-response -- Stimulation
4. Choose Log(Dose) vs. response -- variable slope Frequence (Hz) 2,00 4,00 8,00 16,00 32,00 DMSO 3,723564 21,231200 39,603060 188,250400 203,853400 6,282090 7,726994 18,256260 37,990460 50,566800 6,721551 11,081620 27,216600 100,595800 160,483100 52,088450 76,569130 76,435110 67,344200 71,297750 3,589721 3,459762 7,713688 24,506660 43,745870 NAV2729, 5 µM 4,804318 6,247321 16,692860 61,126480 89,051180 2,957273 3,320969 10,705610 28,377250 39,373630 7,717855 12,938340 28,710630 82,378580 132,816600 45,680710 67,149860 67,032320 59,059750 62,526940 2,688814 5,097798 9,286657 16,199960 27,147110
EFS TTX Step by step instructions for fitting dose-response curves How the data are organized
The X values are the logarithms of molar concentration. The first row represents basal response with no agonist. Since the log of zero is undefined, the first X value is entered as -10 -- a very low concentration of agonist, so low as to be effectively the same as zero.

The Y values are responses (in triplicate) in two experimental conditions. Note that treatment groups are not defined by a separate grouping variable column, but rather by separate Y columns. Blank cells represent missing data.

The goal
To fit a dose-response curve to determine the EC50 of the drug (the concentration that gives a response half-way between baseline and maximal).

How to fit a dose response curve
1. Click Analyze.
2. Choose Nonlinear regression from the list of XY analyses.
3. Choose the panel of equations: Dose-response -- Stimulation
4. Choose Log(Dose) vs. response -- variable slope Frequence (Hz) 2,00 4,00 8,00 16,00 32,00 DMSO 28,179400 44,687040 101,517700 147,668000 157,808400 1,581636 3,700209 9,590816 77,072770 122,570700 9,098909 49,797850 134,987900 158,741500 175,046400 4,047164 15,888160 34,088020 111,894500 171,002200 6,423739 10,898740 37,124780 115,164700 167,237900 TTX 0,1833826 0,4050965 0,4056323 1,498734 3,977052 0,2035096 0,3636417 0,7315897 1,179542 2,080553 1,159274 2,126902 4,127821 7,719122 16,339890 0,8939372 1,102272 1,746353 2,018386 2,830479 0,3736886 1,043067 2,000410 3,540247 5,662800
EFS Prazosin Step by step instructions for fitting dose-response curves How the data are organized
The X values are the logarithms of molar concentration. The first row represents basal response with no agonist. Since the log of zero is undefined, the first X value is entered as -10 -- a very low concentration of agonist, so low as to be effectively the same as zero.

The Y values are responses (in triplicate) in two experimental conditions. Note that treatment groups are not defined by a separate grouping variable column, but rather by separate Y columns. Blank cells represent missing data.

The goal
To fit a dose-response curve to determine the EC50 of the drug (the concentration that gives a response half-way between baseline and maximal).

How to fit a dose response curve
1. Click Analyze.
2. Choose Nonlinear regression from the list of XY analyses.
3. Choose the panel of equations: Dose-response -- Stimulation
4. Choose Log(Dose) vs. response -- variable slope Frequence (Hz) 2,00 4,00 8,00 16,00 32,00 DMSO 3,910183 6,917913 20,663470 63,604690 128,263800 2,252174 5,039136 23,619850 128,265600 219,578700 1,763590 5,607155 15,583730 25,250020 39,168960 1,770901 3,196134 13,142120 36,420070 52,870760 1,505826 2,363812 6,481071 14,564250 30,117090 Prazosin 6,725084 12,399150 22,719960 43,582190 72,754430 6,809926 4,137471 20,809790 44,385890 75,983310 0,1736111 0,4595588 2,410131 5,586193 10,314540 0,4082648 0,9117224 4,268715 10,485180 19,708550 4,317722 4,655087 9,706419 20,306850 38,654590
NA Prazosin Step by step instructions for fitting dose-response curves How the data are organized
The X values are the logarithms of molar concentration. The first row represents basal response with no agonist. Since the log of zero is undefined, the first X value is entered as -10 -- a very low concentration of agonist, so low as to be effectively the same as zero.

The Y values are responses (in triplicate) in two experimental conditions. Note that treatment groups are not defined by a separate grouping variable column, but rather by separate Y columns. Blank cells represent missing data.

The goal
To fit a dose-response curve to determine the EC50 of the drug (the concentration that gives a response half-way between baseline and maximal).

How to fit a dose response curve
1. Click Analyze.
2. Choose Nonlinear regression from the list of XY analyses.
3. Choose the panel of equations: Dose-response -- Stimulation
4. Choose Log(Dose) vs. response -- variable slope NA (logM) -7,00 -6,50 -6,00 -5,50 -5,00 -4,50 -4,00 -3,50 -3,00 DMSO 3,744854 43,725990 88,826550 112,591500 129,138700 137,004800 151,775000 140,703800 134,461300 69,923970 154,783500 158,486000 216,857600 236,363200 236,975400 229,525200 218,539900 214,848400 29,398920 78,992790 105,396500 157,899300 212,143400 217,220000 200,060900 194,837000 183,084600 17,388220 26,782990 107,742600 203,516900 223,773200 210,441700 199,580200 190,779700 186,581200 12,774400 19,676330 79,153980 149,515300 164,396700 154,602600 146,623100 140,157800 290,750700 Prazosin 1,574127 13,740580 14,841270 69,169570 149,009400 127,186700 213,856800 217,913500 216,966800 4,752046 27,202720 25,518730 92,452760 173,647900 228,275800 269,294600 271,574200 248,378900 2,087787 3,020454 6,684572 30,884360 101,506000 175,187100 197,369300 222,626800 183,864700 0,9553369 4,392331 6,153523 45,399860 90,312280 112,232500 176,974000 216,700800 224,216500 3,521371 8,166280 15,035590 59,210790 176,596900 209,260900 263,640300 299,610800 314,851800
CCH Step by step instructions for fitting dose-response curves How the data are organized
The X values are the logarithms of molar concentration. The first row represents basal response with no agonist. Since the log of zero is undefined, the first X value is entered as -10 -- a very low concentration of agonist, so low as to be effectively the same as zero.

The Y values are responses (in triplicate) in two experimental conditions. Note that treatment groups are not defined by a separate grouping variable column, but rather by separate Y columns. Blank cells represent missing data.

The goal
To fit a dose-response curve to determine the EC50 of the drug (the concentration that gives a response half-way between baseline and maximal).

How to fit a dose response curve
1. Click Analyze.
2. Choose Nonlinear regression from the list of XY analyses.
3. Choose the panel of equations: Dose-response -- Stimulation
4. Choose Log(Dose) vs. response -- variable slope CCh (logM) -7,00 -6,50 -6,00 -5,50 -5,00 -4,50 -4,00 -3,50 -3,00 DMSO 0,0387307 29,093310 53,308830 115,059900 62,580280 36,883050 39,449990 28,927230 27,608700 0,1333054 0,6811044 3,250090 42,982710 20,951090 26,858770 28,294150 18,673670 16,749480 1,079860 2,918977 32,227130 68,785490 106,183800 111,879900 119,883100 110,746500 112,563300 5,471965 24,898630 93,473020 179,562800 186,980200 179,964100 170,218900 144,395100 140,017700 1,423484 20,893360 64,863440 143,023500 170,421500 193,685400 197,044400 183,183100 181,397700 NAV2729, 5 µM 0,04063286 52,185290 81,788860 127,973200 40,223990 26,873560 22,495370 15,889990 15,204310 1,627551 1,318134 11,341800 25,575020 30,027570 32,495580 25,228650 19,751660 17,929810 1,749823 1,578385 3,884216 31,696640 18,772380 14,697520 15,516200 12,558480 13,103780 2,911175 6,460380 36,926370 79,546880 110,177800 107,213000 99,563730 84,804180 83,404880 2,160596 14,342840 44,848370 92,959270 125,894500 143,921600 131,778900 118,214600 115,171400
MCH Step by step instructions for fitting dose-response curves How the data are organized
The X values are the logarithms of molar concentration. The first row represents basal response with no agonist. Since the log of zero is undefined, the first X value is entered as -10 -- a very low concentration of agonist, so low as to be effectively the same as zero.

The Y values are responses (in triplicate) in two experimental conditions. Note that treatment groups are not defined by a separate grouping variable column, but rather by separate Y columns. Blank cells represent missing data.

The goal
To fit a dose-response curve to determine the EC50 of the drug (the concentration that gives a response half-way between baseline and maximal).

How to fit a dose response curve
1. Click Analyze.
2. Choose Nonlinear regression from the list of XY analyses.
3. Choose the panel of equations: Dose-response -- Stimulation
4. Choose Log(Dose) vs. response -- variable slope MCh (logM) -7,00 -6,50 -6,00 -5,50 -5,00 -4,50 -4,00 -3,50 -3,00 DMSO 2,159864 25,798700 102,307600 136,412600 152,234200 151,384500 142,632900 133,062800 128,721500 2,377209 37,975380 113,421700 150,113700 150,007800 115,501100 108,508900 94,339070 89,431980 0,6999946 12,941060 18,242880 70,395160 64,195400 55,400700 42,750080 35,265060 27,571290 0,7509915 15,166390 36,657100 133,988700 127,890600 94,686650 56,347540 49,552140 40,386730 1,014965 2,256986 8,868000 14,802170 15,573240 8,723000 7,330478 5,685570 5,077799 NAV2729, 5 µM 2,288291 51,416350 105,713400 126,558400 132,175300 126,425800 117,153300 104,828500 98,722550 3,013130 37,261540 102,908900 124,553500 129,606600 76,779240 57,247870 42,157250 36,991970 0,6894854 20,969490 15,389260 46,520590 31,401920 21,841070 10,253510 7,363824 5,504644 0,1904661 26,708530 31,013970 119,087700 76,832890 50,706830 25,922050 18,114820 14,830570 0,898478 1,527672 14,766030 14,967310 14,633960 9,946500 10,340280 8,650495 7,648869
U46619 coronary Step by step instructions for fitting dose-response curves How the data are organized
The X values are the logarithms of molar concentration. The first row represents basal response with no agonist. Since the log of zero is undefined, the first X value is entered as -10 -- a very low concentration of agonist, so low as to be effectively the same as zero.

The Y values are responses (in triplicate) in two experimental conditions. Note that treatment groups are not defined by a separate grouping variable column, but rather by separate Y columns. Blank cells represent missing data.

The goal
To fit a dose-response curve to determine the EC50 of the drug (the concentration that gives a response half-way between baseline and maximal).

How to fit a dose response curve
1. Click Analyze.
2. Choose Nonlinear regression from the list of XY analyses.
3. Choose the panel of equations: Dose-response -- Stimulation
4. Choose Log(Dose) vs. response -- variable slope U46619 (logM) -9,00 -8,50 -8,00 -7,50 -7,00 -6,50 -6,00 -5,50 -5,00 -4,50 DMSO 0,07893026 139,228600 144,799100 148,148300 148,322700 147,985000 145,982700 144,555200 139,989800 129,871800 0,2126528 79,711100 177,929700 179,939500 172,636400 160,144600 154,534700 146,601300 136,744700 118,779900 13,786460 38,713090 57,940960 65,756380 69,675060 65,197170 67,535560 63,638900 58,230680 35,446270 3,366943 37,609580 52,013330 72,432770 87,599370 81,912480 83,707530 84,356510 79,288910 73,226210 0,5965426 113,700700 154,412300 164,973100 167,418900 165,053200 163,328100 109,147800 148,133900 113,120400 0,06846077 182,636100 184,930600 192,482100 192,409100 192,897000 191,141600 181,594000 186,470000 159,831200 NAV2729, 5 µM -0,0261388 59,677530 187,223700 158,305900 153,668400 150,194700 147,250600 144,145600 134,494900 126,676700 0,0027815 77,627080 150,639300 169,608400 171,266600 161,023700 158,524700 151,742500 143,053600 133,668200 16,096430 37,497420 85,421270 10,016800 29,349010 34,358880 48,793210 48,586920 47,467070 29,416790 -2,226668 22,402930 41,755570 48,471710 54,287980 55,196260 57,760300 55,069490 51,566950 44,769280 0,1080859 77,578520 171,312600 134,426400 129,193300 120,310300 102,902500 50,414520 68,092390 35,320070 -0,0020054 105,177000 168,749800 175,119800 174,633900 171,868700 168,169900 151,646600 157,750400 126,965100
 Notes
ConstantName
   

This file can be opened by GraphPad Prism (version or later).

This file contains data tables and info tables:
  • #
  • #
  • #


    • 2
    		2   X-Title   2    
      X Err.Bar     :Y Mean SD SEM %CV SD N SEM N %CV N +Error -Error UpperLimit LowerLimit  
    %
    		%
    		%



    *
    font-size:pt