Proteomic and functional analysis identifies galectin-1 as a novel regulatory component of the cytotoxic granule machinery

Tiago Clemente; Narcisio J Vieira; Juan P Cerliani; Colin Adrain; Alexander Luthi; Mariana R Dominguez; Monica Yon; Fernanda C Barrence; Thalita B Riul; Richard D Cummings; Telma M Zorn; Sebastian Amigorena; Marcelo Dias-Baruffi; Maurício M Rodrigues; Seamus J Martin; Gabriel A Rabinovich; Gustavo P Amarante-Mendes

doi:10.1038/cddis.2017.506

Proteomic and functional analysis identifies galectin-1 as a novel regulatory component of the cytotoxic granule machinery

Cell Death and Disease ◽

10.1038/cddis.2017.506 ◽

2017 ◽

Vol 8 (12) ◽

pp. e3176-e3176 ◽

Cited By ~ 5

Author(s):

Tiago Clemente ◽

Narcisio J Vieira ◽

Juan P Cerliani ◽

Colin Adrain ◽

Alexander Luthi ◽

...

Keyword(s):

Functional Analysis ◽

Cytotoxic Granule

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Clinical Issues: What’s in a Word? A Functional Analysis of Word Learning

Perspectives on Language Learning and Education ◽

10.1044/lle12.3.4 ◽

2005 ◽

Vol 12 (3) ◽

pp. 4-8 ◽

Cited By ~ 7

Author(s):

Prahlad Gupta

Keyword(s):

Functional Analysis ◽

Word Learning ◽

Clinical Issues

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Review for "High‐throughput single‐cell sequencing of paired TCRα and TCRβ genes for the direct expression‐cloning and functional analysis of murine T cell receptors"

10.1002/eji.201848030/v1/review1 ◽

2019 ◽

Keyword(s):

Functional Analysis ◽

T Cell ◽

Single Cell ◽

High Throughput ◽

T Cell Receptors ◽

Expression Cloning ◽

Cell Receptors ◽

Single Cell Sequencing

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Case Formulation and Design of Behavioral Treatment Programs

European Journal of Psychological Assessment ◽

10.1027//1015-5759.19.3.164 ◽

2003 ◽

Vol 19 (3) ◽

pp. 164-174 ◽

Cited By ~ 27

Author(s):

Stephen N. Haynes ◽

Andrew E. Williams

Keyword(s):

Functional Analysis ◽

Behavior Problems ◽

Behavioral Treatment ◽

Clinical Case ◽

Relative Magnitude ◽

Mechanisms Of Action ◽

Treatment Programs ◽

Case Formulation ◽

Functional Relations ◽

Causal Variables

Summary: We review the rationale for behavioral clinical case formulations and emphasize the role of the functional analysis in the design of individualized treatments. Standardized treatments may not be optimally effective for clients who have multiple behavior problems. These problems can affect each other in complex ways and each behavior problem can be influenced by multiple, interacting causal variables. The mechanisms of action of standardized treatments may not always address the most important causal variables for a client's behavior problems. The functional analysis integrates judgments about the client's behavior problems, important causal variables, and functional relations among variables. The functional analysis aids treatment decisions by helping the clinician estimate the relative magnitude of effect of each causal variable on the client's behavior problems, so that the most effective treatments can be selected. The parameters of, and issues associated with, a functional analysis and Functional Analytic Clinical Case Models (FACCM) are illustrated with a clinical case. The task of selecting the best treatment for a client is complicated because treatments differ in their level of specificity and have unequally weighted mechanisms of action. Further, a treatment's mechanism of action is often unknown.

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