1. graphpad鎬庝箞瀵煎嚭鍥劇墖
graphpad杞浠跺彲浠ュ府鍔╃敤鎴蜂滑瀵瑰悇縐嶅浘褰㈣繘琛屼笓涓氱殑鍒朵綔銆備絾鏄寰堝氱殑灝忎紮浼翠滑琛ㄧず錛岃嚜宸卞埗浣滃ソ鐨勫浘涓嶇煡閬撴庝箞瀵煎嚭錛岃╂垜涓璧鋒潵鐪嬬湅graphpad鎬庝箞瀵煎嚭鍥劇墖鍚с
graphpad鎬庝箞瀵煎嚭鍥劇墖
1銆佽繖閲屼互銆怗raphpadprism5.0銆戣蔣浠訛紝浣滀負渚嬪瓙灞曠ず銆
2銆佺偣鍑匯恈reate銆戱紝鍑嗗囧埗浣滀竴涓鍥劇墖銆
3銆佸悓鏍風殑鍦ㄣtitle銆戜腑杈撳叆緇勫埆錛岀劧鍚庡湪涓嬫柟絀烘牸澶勮緭鍏ユ暟鎹銆
4銆佺偣鍑匯怗raphs涓嬫柟鐨刣ata1銆戱紝杈撳叆鍥劇墖銆
5銆佺偣寮銆宸ュ叿鏍銆戦偅涓鎺掔殑杈撳嚭鍥炬爣錛Export錛夈
6銆佹帴鐫鐐瑰嚮銆恌ileformat銆戜笅鏂規敼鎴愪綘鎯寵佷繚瀛樼殑鏍煎紡錛岄夋嫨銆tiff鎴栬匤PG鏍煎紡銆戱紝榪欓噷閫夋嫨tiff鏍煎紡銆
7銆併dpi銆戞槸鍒嗚鯨鐜囩殑鎰忔濓紝閫300錛屽浘鐗囦細姣旇緝娓呮櫚銆
搴曚笅鐨勩folder銆戞寚鐨勬槸杈撳嚭鐨勬枃浠跺す錛屽彲浠ユ崲鎴愪綘鎯寵佽緭鍑虹殑浣嶇疆銆
鐐瑰嚮select錛屾敼鎴愭岄潰銆侳ilename鏄鏂囦歡鍚嶇О錛屽彲浠ラ殢鎰忎慨鏀廣
8銆佸畨涓婂浘鎵鎸囩ず鐨勬搷浣滐紝鏈鍚庣偣鍑匯恛k銆戝氨鍙浠ュ湪妗岄潰寰楀埌浣犺佺殑鍥句簡銆
2. GraphPadPrism閲屽備綍鍒朵綔瀵規暟鍧愭爣鐨勫浘琛
榪欑瘒鏂囩珷錛屾垜浠浠嬬粛涓涓嬪備綍璁╁浘琛ㄥ潗鏍囪醬浠ュ規暟涓哄埢搴︽樉紺猴紙鍙鏄鏄劇ず鏂瑰紡鐨勫樊鍒錛岃繖縐嶆搷浣滀笉浼氭敼鍙樹綘鐨勬暟鎹錛夛紝浠ュ強濡備綍灝嗗師濮嬫暟鎹杞鎹涓哄規暟銆
鍒涘緩涓涓瀵規暟鍒誨害鍧愭爣杞
鍦ㄨ醬涓婂弻鍑繪墦寮Format Axes瀵硅瘽妗嗐愬潗鏍囪醬鏍煎紡銆戙傚湪Scale涓嬫媺鍒楄〃涓錛屽皢杞磋劇疆涓篖og10鎴朙og2鎴朙n(鑷鐒跺規暟)銆
涓嬪浘涓鏄劇ず鐨勬槸浠Log10涓洪棿闅斿埢搴︾殑x杞寸殑鏍峰瓙銆10鍜100涔嬮棿闂撮殧鍒嗗埆琛ㄧず浜唋og20銆30銆40銆50銆60銆70銆80鍜90鐨勪綅緗錛岃繖浜涘埢搴︿箣闂寸殑闂磋窛涓嶄竴鏍鳳紝榪欐槸瀵規暟鐨勭壒鎬у喅瀹氱殑銆傦紙涓嬮潰浼氫粙緇嶅備綍鍑忓皯鎴栬呭幓鎺夎繖浜涗腑闂寸殑鍧愭爣錛
褰撶劧錛屾湁鏃跺ぇ瀹跺瑰潗鏍囩殑鏄劇ず鏂瑰紡鏄鏈夎佹眰鐨勶紝鍩轟簬鍑虹増鎴栬呮樉紺虹編瑙傜▼搴︼紝姣斿傜洿瑙傜殑鏉ョ湅鏈夎繖鍑犵嶅潗鏍囨樉紺烘柟寮忥細
鍏蜂綋淇鏀規柟娉曞備笅錛
涓簂og10鍧愭爣杞磋劇疆緙栧彿鏄劇ず鏂瑰紡
鍦ㄨ醬涓婂弻鍑繪墦寮Format Axes瀵硅瘽妗嗐愬潗鏍囪醬鏍煎紡銆戱紝鍦∟umbering Format澶勮劇疆鍧愭爣鏄劇ず鏂瑰紡銆4縐嶇紪鍙鋒牸寮忓彲閫夛細
閫嗗規暟錛堢湡鏁幫紝Antilog錛夛細10, 100, 1000, 10000... 縐戝﹁℃暟娉曪紙Scientific錛夛細1x101, 1x102, 1x103, 1x104... 10鐨勫籙錛圥ower of 10錛夛細101, 102, 103, 104... 鑷鐒跺規暟錛圠og錛: 1, 2, 3, 4...涓簂n鍧愭爣杞磋劇疆鍧愭爣鏄劇ず鏂瑰紡
鍦ㄨ醬涓婂弻鍑繪墦寮Format Axes瀵硅瘽妗嗐愬潗鏍囪醬鏍煎紡銆戱紝鍦∟umbering Format澶勮劇疆鍧愭爣鏄劇ず鏂瑰紡銆3縐嶅潗鏍囨牸寮忓彲閫夛細
縐戝﹁℃暟娉曪紙Scientific錛夛細1x101, 1x102, 1x103, 1x104... e鐨勫籙錛圥ower of e錛夛細101, 102, 103, 104... 鑷鐒跺規暟錛圠n錛: 1, 2, 3, 4...涓哄規暟鍧愭爣杞磋劇疆鍒誨害闂撮殧錛圡inor ticks錛
鍦ㄨ醬涓婂弻鍑繪墦寮Format Axes瀵硅瘽妗嗐愬潗鏍囪醬鏍煎紡銆戱紝鍦∕inor ticks涓嬫媺鍒楄〃涓閫夋嫨闇瑕佹樉紺虹殑鍒誨害鏁伴噺銆
濂藉暒錛岀幇鍦ㄦ湁鍚屽︿細闂浜嗭紝 鎴戜笉鍙鏄瑕佷綔鍥劇殑鏃跺欑敤瀵規暟錛屾垜闇瑕佹妸杈撳叆鐨勬暟鎹鍙樹負瀵規暟錛屾垜瑕侀愪釜璁＄畻鎵嬪伐杈撳叆鍚楋紵鏈夋病鏈夋洿鏂逛究鐨勬柟娉曞憿錛熸湁錛佷綘瑕佺敤鍒板規暟杞鎹㈠姛鑳姐
鎵嬪伐杈撳叆 VS 瀵規暟杞鎹
涓句釜渚嬪瓙錛屼綘闇瑕佸皢S鍨嬪墏閲忔晥搴旀柟紼嬫嫙鍚堝埌鐢╔錛堟í鍧愭爣錛夎〃紺哄墏閲忓規暟鐨勬暟鎹銆傚傛灉杈撳叆嫻撳害錛屽垯闇瑕佸湪浣跨敤闈炵嚎鎬у洖褰掍箣鍓嶅皢鍏惰漿鎹涓哄規暟銆
濡備綍鎿嶄綔錛
鍗曞嚮鍒嗘瀽鎸夐挳錛岄夋嫨鍐呯疆鍒嗘瀽錛岀劧鍚庝粠鏁版嵁鎿嶄綔鍒楄〃涓閫夋嫨鍙樻崲銆傞夋嫨X = log錛圶錛夈榪樿侀変腑瀵硅瘽妗嗗簳閮ㄧ殑妗嗕互鍒涘緩緇撴灉鐨勬柊鍥撅紙Create a new graph of the results錛夈侾rism灝嗗壋寤鴻漿鎹㈠悗鏁版嵁鐨勭粨鏋滆〃鍜屼竴涓鏂板浘錛岃繖鏍峰仛鐨勫ソ澶勬槸浣犵殑鍘熷嬫暟鎹涓嶄細鏀瑰彉錛屽湪鏂扮殑緇撴灉鍖鴻〃涓錛岄噸鏂版墽琛孉nalyze 鍜岄潪綰挎у洖褰掑惂銆
瀵規暟鏁版嵁鐨勭粯鍥炬柟娉
濡傛灉浠ュ規暟褰㈠紡杈撳叆浜嗘暟鎹錛屾垨鐢ㄥ規暟杞鎹㈠悗鐨勬暟鎹緇樺浘鏃訛紝鍒欏簲浣跨敤綰挎у潗鏍囷紝娉ㄦ剰涓嶈佸啀閫夋嫨瀵規暟鍒誨害鍟︼紒鎮ㄧ殑鏁版嵁宸茬粡鏄瀵規暟銆傚弬鐓т笂鏂囩殑浠嬬粛閲嶆柊璁劇疆鍧愭爣杞村潗鏍囥
鏀懼嚑涓綆鍗曠殑渚嬪瓙甯鍔╁ぇ瀹剁悊瑙ｏ細
渚嬩竴錛氫笅鍥撅紝X鍊艱〃紺烘祿搴︾殑瀵規暟銆傚規暟鍊煎凡緇忕洿鎺ヨ緭鍏ュ埌鏁版嵁琛ㄧ殑X鍒椾腑銆俋杞存槸綰挎у埢搴︼紝璇ヨ醬浣跨敤10鐨勫籙鐨勭紪鍙鋒牸寮忥紝騫朵互9涓杈冨皬鐨勫規暟鍒誨害闂撮殧銆
渚嬩簩錛氫笅鍥撅紝鏁版嵁涓哄規暟鐨勫彟涓縐嶅睍紺烘柟娉曟槸閫夋嫨閫嗗規暟錛堢湡鏁幫級鍧愭爣錛堜粎褰撻棿闅斾負1鏃訛紝鏀鎸乕-9, 9]錛屾ら夋嫨鎵嶅彲鐢錛
3. GraphPadPrism涓鐨勫崟鍥犵礌鏂瑰樊鍒嗘瀽榪欐牱鐢
1. 鎵撳紑GraphPad杞浠訛紝渚濇＄偣鍑籆olumn,閭ｄ釜鏌辯姸鍥劇殑鍥炬堬紙榪欐牱鏈鍚庡仛鍑烘潵灝辨槸鏌辯姸鍥撅紝褰撶劧涔熷彲浠ユ牴鎹鑷宸辯殑闇瑕侀夋嫨鍏朵粬鍥炬堬紝鏈鏈熷規や笉鍋氳ㄨ猴級錛宮ean with SEM(甯哥敤錛屽綋鐒跺叾浠栭夐」涔熷彲浠)錛岀劧鍚庣偣鍑籆reate銆
2. 灝嗛渶瑕佹瘮杈冪殑涓夌粍鎴栬呭氱粍鏁版嵁鎸夊垪鍒嗗埆杈撳叆A鍒楋紝B鍒楋紝C鍒楋紝浠ユょ被鎺ㄣ
3. 鐐瑰嚮涓婂浘涓鐨凙nalyze,鍑虹幇濡備笅鐣岄潰錛岀偣鍑籆olumn analyses鍓嶇殑+鍙鳳紝鐐瑰嚮One-way ANOVA (and nonparametric),鐐瑰嚮ok銆
4. 榪欓噷緇欏嚭浜嗗洓縐嶉夐」錛屾垜浠鍒嗗埆鐪嬩竴涓嬪悇涓閫夐」鐨勯傜敤鎯呭喌錛
One-way analysis of variance:鍚勭粍鏁版嵁涔嬮棿婊¤凍鐙絝嬫э紝姝ｆ佹э紝鏂瑰樊榻愭
Kruskal-wallis test:鍚勭粍鏁版嵁涔嬮棿婊¤凍鐙絝嬫э紝浣嗕笉婊¤凍姝ｆ佸垎甯
Friedman test: 鍚勭粍鏁版嵁涔嬮棿涓嶇嫭絝嬶紝涔熶笉婊¤凍姝ｆ佸垎甯
Repeated measures ANOVA: 鍚勭粍鏁版嵁涔嬮棿涓嶇嫭絝嬶紝鏁版嵁涔嬮棿瀛樺湪閲嶅嶅害閲忕殑鎯呭喌
涓轟簡鏇村ソ鍦扮悊瑙Friedman test鍜孯epeated measures ANOVA鐨勯傜敤鎯呭喌錛屾垜浠涓懼備笅渚嬪瓙榪涜岃存槑錛堝弬鑰冪綉涓婅祫鏂欙紝鐐瑰嚮闃呰誨叏鏂囨煡鐪嬪師鏂囷級錛
2010 騫翠笘鍗氫細鏈熼棿錛屽弬瑙備漢鏁頒紬澶氾紝涓轟簡姣旇緝鍚勪釜鏃墮棿孌電殑鍏ュ洯浜烘暟鏈夋棤宸鍒錛屾敹闆嗕簡浠ヤ笅鐨勬暟鎹錛
a錛氳ユ棩12-14鐐圭殑鍏ュ洯浜烘暟
b錛氳ユ棩14-16鐐圭殑鍏ュ洯浜烘暟
c錛氳ユ棩16-18鐐圭殑鍏ュ洯浜烘暟
d錛氳ユ棩18-20鐐圭殑鍏ュ洯浜烘暟
鍒嗘瀽涓婅堪鍥涗釜鏃墮棿孌電殑鍏ュ洯浜烘暟鏈夋棤宸寮傘傛樉鐒訛紝鍥涚粍鏁版嵁騫朵笉鐙絝嬶紝涓嶈兘婊¤凍鏅閫氭柟宸鍒嗘瀽鐨勬潯浠訛紝鍙浠ヤ嬌鐢ㄩ噸澶嶆祴閲忕殑鏂瑰樊鍒嗘瀽銆備絾鑰冭檻鍒板叆鍥浜烘暟娉㈠姩澶э紝瀛樺湪鏋佺鍊礆紝閲囩敤Friedman媯楠屾洿涓哄悎閫傘
鎬諱箣瑕佹牴鎹鍘熷嬫暟鎹鐨勬儏鍐甸夋嫨涓縐嶆渶鍚堥傜殑媯楠屾柟娉曘
4. 濡備綍鍒╃敤GraphPad Prism杞浠跺垎鏋怮PCR鏁版嵁
絎涓姝ワ細鍦ㄧ數鑴戜笂瀹夎呭ソGraphPad Prism杞浠訛紝瀹夎呮よ蔣浠跺湪鐧懼害涓婂彲浠ヤ笅杞斤紝涓鑸涓嬭澆GraphPad Prism5涓鏂囩増鐨勩
絎
浜屾ワ細瀹屾垚絎涓姝ュ悗鍦ㄧ數鑴戜笂鎵撳紑GraphPad Prism杞浠訛紝浼氬脊鍑哄硅瘽妗唚elcome to GraphPad
Prism錛岀偣鍑誨乏杈圭殑Column錛岄夋嫨鍙寵竟鐨刢hoose a graph絎涓鎺掔殑絎鍥涗釜鏌卞艦鍥俱傚叾浠栭儴浣嶄笉闇瑕佷慨鏀癸紝鐐瑰嚮鍙充笅瑙掔殑Create銆
絎涓夋ワ細絎浜屾ョ粨鏉熷悗浼氬脊鍑轟竴涓鏂扮殑瀵硅瘽妗嗭紝鎺ョ潃浣犲湪ABCD絳夌瓑閭ｄ竴鎺掔殑涓嬮潰鐨勭┖鐧芥嗛噷闈㈣緭鍏ヤ綘鐨勫疄楠屽垎緇勶紙姣斿侰ontrol錛孲ample緇勪箣綾葷殑錛屼互Control緇勫拰EAE緇勪負渚嬶級銆
絎鍥涙ワ細絎涓夋ョ粨鏉熶箣鍚庯紝寰瀹為獙鍒嗙粍瀵瑰簲鐨勪笅鏂規坊鍔犱綘鐨凲PCR瀹為獙鏁版嵁銆傜偣鍑籊raphs搴曚笅鐨凞ata-1銆備細寮瑰嚭浣犵殑瀹為獙緇撴灉鏌辯姸鍥俱
絎浜旀ワ細灝哫-title鍒犳帀錛孻-title鏀規垚QPCR鐨凴elative Expression錛屾妸Data-1鏀規垚浣犺捐＄殑寮曠墿錛屾瘮濡俹ccludin銆
絎
鍏姝ワ細緇撴潫絎浜旀ュ悗寮濮嬭繘琛岀粺璁″﹀垎鏋愩傜偣鍑誨乏涓婃柟Analysis涓嬮潰鐨凙nalyze銆備細寮瑰嚭Analyze Data鐨勫硅瘽妗嗐傚皢Column
analyses涓嬮潰鏀規垚t test錛坅nd nonparametric
tests錛夛紝鐐瑰嚮OK鍑虹幇鏂板硅瘽妗嗭紝鍐嶇偣鍑籓K錛屽嚭鐜版柊瀵硅瘽妗嗭紝涓婇潰鏄劇ずp value
summary涓轟笁棰楁槦錛屽嵆浠ｈ〃璇ユ暟鎹鍏鋒湁緇熻″︽剰涔夛紝騫朵笖涓轟笁棰楁槦銆
絎涓冩ワ細榪斿洖灞炴у浘鏁版嵁銆傚嵆鐐瑰嚮宸﹁竟鐨凣raphs涓嬮潰鐨凞ata 1錛岀偣鍑繪渶涓婇潰鐨凞raw涓嬮潰妯綰匡紝閫夋嫨妯綰匡紝鐐瑰嚮Write涓嬮潰鐨勯粦浣撳瓧T錛屽湪妯綰誇笂闈㈡爣璁版槦鍙鋒垨鑰卬s鍗沖彲銆傝ヤ緥瀛愰噷鐨勭粺璁″﹀垎鏋愪負3棰楁槦銆傚畬緹庣殑QPCR鏁版嵁鍒嗘瀽鍥懼氨鍋氬嚭鏉ュ暒銆