Two quantitative assays for chemotaxis inParamecium View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1975-06

AUTHORS

Judith Van Houten, Helen Hansma, Ching Kung

ABSTRACT

We present two new methods to quantify the attraction and repulsion ofParamecium aurelia by chemicals. These are a T-maze assay and a countercurrent separation assay. In the T-maze assay, cells were placed in one arm of a three-way stopcock. The cells were then allowed to enter the other two arms, one of which contained an attractant or repellent. The ratio of cells collected from these two arms was an index of chemotaxis. The reproducibility of this method was demonstrated, using potassium acetate to study attraction (positive chemotaxis), and quinine-HCl to study repulsion (negative chemotaxis). This method is rapid and convenient. The countercurrent separation assay was adapted from the method of Dusenbery (1973), originally used to study behavior in nematodes. Animals were injected into the center of a slanted tube through which two solutions of different densities were pumped in opposite directions. One solution contained an attractant or repellent. Animals emerging from the tube in each of the two solutions were counted. These counts were used to measure the extent of chemotaxis. This method is useful for studying attraction in populations of over 104 paramecia and for isolating mutants defective in chemotaxis. More... »

PAGES

211-223

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf01379461

DOI

http://dx.doi.org/10.1007/bf01379461

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1034279831


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of California, Santa Barbara", 
          "id": "https://www.grid.ac/institutes/grid.133342.4", 
          "name": [
            "Department of Biological Sciences, University of California, Santa Barbara, California, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Van Houten", 
        "givenName": "Judith", 
        "id": "sg:person.01310414162.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01310414162.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of California, Santa Barbara", 
          "id": "https://www.grid.ac/institutes/grid.133342.4", 
          "name": [
            "Department of Biological Sciences, University of California, Santa Barbara, California, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hansma", 
        "givenName": "Helen", 
        "id": "sg:person.0660206204.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660206204.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Wisconsin\u2013Madison", 
          "id": "https://www.grid.ac/institutes/grid.14003.36", 
          "name": [
            "Laboratory of Molecular Biology and Department of Genetics, University of Wisconsin, Madison, Wisconsin, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kung", 
        "givenName": "Ching", 
        "id": "sg:person.01360027630.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360027630.66"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/jez.1401130106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011027604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jez.1401130106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011027604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.70.5.1349", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013304090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.58.3.1152", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015531302"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4684-1962-7_2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017381065", 
          "https://doi.org/10.1007/978-1-4684-1962-7_2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0003-3472(63)80130-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019124907"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/newbio236120a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031358216", 
          "https://doi.org/10.1038/newbio236120a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/newbio236120a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031358216", 
          "https://doi.org/10.1038/newbio236120a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/newbio236120a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031358216", 
          "https://doi.org/10.1038/newbio236120a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jez.1401880105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041104271"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jez.1401880105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041104271"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.64.4.1300", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051776993"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.166.3913.1588", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062498641"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.176.4034.473", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062504823"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.181.4094.60", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062507758"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074828114", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1080453983", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1975-06", 
    "datePublishedReg": "1975-06-01", 
    "description": "We present two new methods to quantify the attraction and repulsion ofParamecium aurelia by chemicals. These are a T-maze assay and a countercurrent separation assay. In the T-maze assay, cells were placed in one arm of a three-way stopcock. The cells were then allowed to enter the other two arms, one of which contained an attractant or repellent. The ratio of cells collected from these two arms was an index of chemotaxis. The reproducibility of this method was demonstrated, using potassium acetate to study attraction (positive chemotaxis), and quinine-HCl to study repulsion (negative chemotaxis). This method is rapid and convenient. The countercurrent separation assay was adapted from the method of Dusenbery (1973), originally used to study behavior in nematodes. Animals were injected into the center of a slanted tube through which two solutions of different densities were pumped in opposite directions. One solution contained an attractant or repellent. Animals emerging from the tube in each of the two solutions were counted. These counts were used to measure the extent of chemotaxis. This method is useful for studying attraction in populations of over 104 paramecia and for isolating mutants defective in chemotaxis.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf01379461", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1030703", 
        "issn": [
          "0340-7594", 
          "1432-1351"
        ], 
        "name": "Journal of Comparative Physiology A", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "104"
      }
    ], 
    "name": "Two quantitative assays for chemotaxis inParamecium", 
    "pagination": "211-223", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "a34b9b496cbf0d555b72055f6a15e0b18bc5b0be4f8aacdbbb55a97b2e4a044e"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf01379461"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1034279831"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf01379461", 
      "https://app.dimensions.ai/details/publication/pub.1034279831"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T00:11", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8695_00000489.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/BF01379461"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/bf01379461'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/bf01379461'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf01379461'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf01379461'


 

This table displays all metadata directly associated to this object as RDF triples.

117 TRIPLES      21 PREDICATES      40 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf01379461 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N0ce5c3652a4a472c98e257a5082a536b
4 schema:citation sg:pub.10.1007/978-1-4684-1962-7_2
5 sg:pub.10.1038/newbio236120a0
6 https://app.dimensions.ai/details/publication/pub.1074828114
7 https://app.dimensions.ai/details/publication/pub.1080453983
8 https://doi.org/10.1002/jez.1401130106
9 https://doi.org/10.1002/jez.1401880105
10 https://doi.org/10.1016/s0003-3472(63)80130-x
11 https://doi.org/10.1073/pnas.58.3.1152
12 https://doi.org/10.1073/pnas.64.4.1300
13 https://doi.org/10.1073/pnas.70.5.1349
14 https://doi.org/10.1126/science.166.3913.1588
15 https://doi.org/10.1126/science.176.4034.473
16 https://doi.org/10.1126/science.181.4094.60
17 schema:datePublished 1975-06
18 schema:datePublishedReg 1975-06-01
19 schema:description We present two new methods to quantify the attraction and repulsion ofParamecium aurelia by chemicals. These are a T-maze assay and a countercurrent separation assay. In the T-maze assay, cells were placed in one arm of a three-way stopcock. The cells were then allowed to enter the other two arms, one of which contained an attractant or repellent. The ratio of cells collected from these two arms was an index of chemotaxis. The reproducibility of this method was demonstrated, using potassium acetate to study attraction (positive chemotaxis), and quinine-HCl to study repulsion (negative chemotaxis). This method is rapid and convenient. The countercurrent separation assay was adapted from the method of Dusenbery (1973), originally used to study behavior in nematodes. Animals were injected into the center of a slanted tube through which two solutions of different densities were pumped in opposite directions. One solution contained an attractant or repellent. Animals emerging from the tube in each of the two solutions were counted. These counts were used to measure the extent of chemotaxis. This method is useful for studying attraction in populations of over 104 paramecia and for isolating mutants defective in chemotaxis.
20 schema:genre research_article
21 schema:inLanguage en
22 schema:isAccessibleForFree false
23 schema:isPartOf N4be63b82f8674c25a99c0802f264eb4b
24 N86975493fa15470b842bfb4631295bb5
25 sg:journal.1030703
26 schema:name Two quantitative assays for chemotaxis inParamecium
27 schema:pagination 211-223
28 schema:productId N0f6c3b347af64690935f97efb066ae17
29 N35f273a5eb9a4785afaac95e114a0c79
30 Nebd0b69ef82b4eb2ac9c56dd8c711d67
31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034279831
32 https://doi.org/10.1007/bf01379461
33 schema:sdDatePublished 2019-04-11T00:11
34 schema:sdLicense https://scigraph.springernature.com/explorer/license/
35 schema:sdPublisher N6f63f249c8644345b901eeae18c449d3
36 schema:url http://link.springer.com/10.1007/BF01379461
37 sgo:license sg:explorer/license/
38 sgo:sdDataset articles
39 rdf:type schema:ScholarlyArticle
40 N0ce5c3652a4a472c98e257a5082a536b rdf:first sg:person.01310414162.12
41 rdf:rest N77d2b349307149b8ac034183a96f1750
42 N0f6c3b347af64690935f97efb066ae17 schema:name doi
43 schema:value 10.1007/bf01379461
44 rdf:type schema:PropertyValue
45 N35f273a5eb9a4785afaac95e114a0c79 schema:name dimensions_id
46 schema:value pub.1034279831
47 rdf:type schema:PropertyValue
48 N4be63b82f8674c25a99c0802f264eb4b schema:issueNumber 2
49 rdf:type schema:PublicationIssue
50 N6f63f249c8644345b901eeae18c449d3 schema:name Springer Nature - SN SciGraph project
51 rdf:type schema:Organization
52 N77d2b349307149b8ac034183a96f1750 rdf:first sg:person.0660206204.34
53 rdf:rest Nbca3e8372696470db8592e04d751fba2
54 N86975493fa15470b842bfb4631295bb5 schema:volumeNumber 104
55 rdf:type schema:PublicationVolume
56 Nbca3e8372696470db8592e04d751fba2 rdf:first sg:person.01360027630.66
57 rdf:rest rdf:nil
58 Nebd0b69ef82b4eb2ac9c56dd8c711d67 schema:name readcube_id
59 schema:value a34b9b496cbf0d555b72055f6a15e0b18bc5b0be4f8aacdbbb55a97b2e4a044e
60 rdf:type schema:PropertyValue
61 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
62 schema:name Biological Sciences
63 rdf:type schema:DefinedTerm
64 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
65 schema:name Genetics
66 rdf:type schema:DefinedTerm
67 sg:journal.1030703 schema:issn 0340-7594
68 1432-1351
69 schema:name Journal of Comparative Physiology A
70 rdf:type schema:Periodical
71 sg:person.01310414162.12 schema:affiliation https://www.grid.ac/institutes/grid.133342.4
72 schema:familyName Van Houten
73 schema:givenName Judith
74 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01310414162.12
75 rdf:type schema:Person
76 sg:person.01360027630.66 schema:affiliation https://www.grid.ac/institutes/grid.14003.36
77 schema:familyName Kung
78 schema:givenName Ching
79 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360027630.66
80 rdf:type schema:Person
81 sg:person.0660206204.34 schema:affiliation https://www.grid.ac/institutes/grid.133342.4
82 schema:familyName Hansma
83 schema:givenName Helen
84 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660206204.34
85 rdf:type schema:Person
86 sg:pub.10.1007/978-1-4684-1962-7_2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017381065
87 https://doi.org/10.1007/978-1-4684-1962-7_2
88 rdf:type schema:CreativeWork
89 sg:pub.10.1038/newbio236120a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031358216
90 https://doi.org/10.1038/newbio236120a0
91 rdf:type schema:CreativeWork
92 https://app.dimensions.ai/details/publication/pub.1074828114 schema:CreativeWork
93 https://app.dimensions.ai/details/publication/pub.1080453983 schema:CreativeWork
94 https://doi.org/10.1002/jez.1401130106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011027604
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1002/jez.1401880105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041104271
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1016/s0003-3472(63)80130-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1019124907
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1073/pnas.58.3.1152 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015531302
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1073/pnas.64.4.1300 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051776993
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1073/pnas.70.5.1349 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013304090
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1126/science.166.3913.1588 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062498641
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1126/science.176.4034.473 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062504823
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1126/science.181.4094.60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062507758
111 rdf:type schema:CreativeWork
112 https://www.grid.ac/institutes/grid.133342.4 schema:alternateName University of California, Santa Barbara
113 schema:name Department of Biological Sciences, University of California, Santa Barbara, California, USA
114 rdf:type schema:Organization
115 https://www.grid.ac/institutes/grid.14003.36 schema:alternateName University of Wisconsin–Madison
116 schema:name Laboratory of Molecular Biology and Department of Genetics, University of Wisconsin, Madison, Wisconsin, USA
117 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...