Biomedical Research Grants – UberResearch Database Guide
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Ovid's Biomedical Research Grants – UberResearch, a database of research grant information, focuses on helping funding organizations, non-profits, and global institutions make more informed decisions about research funding. This database contains 500,000+ records that fluctuates monthly, specific to grants in biomedical research in the Dimensions Data feed that were active in the last 10 years since January 1, 2006.

Biomedical Research Grants – UberResearch has been developed by data science company ÜberResearch, a portfolio company of Digital Science and a global business with main offices in Cologne, Germany; London, United Kingdom; Washington DC & Columbia, USA and other European and US locations.

Segments and Years of Coverage
Name   Years of Coverage
uber   2006 – Present

The limit of databases that you can select for a multifile search session is based upon database segments rather than actual databases. The Ovid multifile segment limit is set at 120 to avoid impacting your search sessions. This database includes 1 segment.

This database is updated online monthly.

 

Fields
The following list is sorted alphabetically by field alias. Click a field name to see the description and search information.
All Fields in this Database
  Abstract (AB) Funder Country (GC) Research Organization (GD)
  All Searchable Fields (AF) Funder Groups (FG) Researcher Last Name (RL)
  Categories (CS) Funding Amount (FA) Researcher NameID (RO)
  Document Count (DZ) Funding Currency (CU) Researchers (RS)
  End Date (DE) Local Messages (LM) Second Level Category (CB)
  First Level Category (CA) Project Linkout (UR) Start Date (DS)
  Funder (FI) Project Number (GI) Unique Identifier (UI)
  Funder City (FC) Project Title (TI)  
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Default Fields for Unqualified Searches (MP): Searching for a term without specifying a field in Advanced search, or specifying .mp., defaults to the following ‘multi-purpose’ (.mp.) fields for this database: ti,ab,cs,fi,gd,gi.
  Abstract (AB) Funder (FI) Project Title (TI)
  Categories (CS) Project Number (GI) Research Organization (GD)
       
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Default Fields for Display, Print, Email, and Save: The following fields are included by default for each record.

  Abstract (AB) Funding Amount (FA) Research Organization (GD)
  Categories (CS) Funding Currency (CU) Researcher NameID (RO)
  End Date (DE) Project Linkout (UR) Researchers (RS)
  Funder (FI) Project Number (GI) Start Date (DS)
  Funder Groups (FG) Project Title (TI) Unique Identifier (UI)
       
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All Fields for Display, Print, Email, and Save: Use the Select Fields button in the Results Manager at the bottom of the Main Search Page to choose the fields for a record.

  Abstract (AB) Funding Currency (CU) Research Organization (GD)
  Categories (CS) Local Messages (LM) Researcher NameID (RO)
  End Date (DE) Project Linkout (UR) Researchers (RS)
  Funder (FI) Project Number (GI) Start Date (DS)
  Funder Groups (FG) Project Title (TI) Unique Identifier (UI)
  Funding Amount (FA)    
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The following list is sorted alphabetically by the two-letter label, and includes the relevant alias, at least one example for all searchable fields, and a description of the field.
Label Name / Example
AB

Abstract [Word Indexed]
a.ab.

  Includes researcher-written abstracts. These abstracts appear in the Abstract (AB) field. Over 50% of the documents in Biomedical Research Grants – UberResearch contain abstracts. The abstract index contains all searchable words from the abstract.
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AF

All Searchable Fields [Search Alias]
cancer.af.

  All Fields (AF) is an alias for all of the fields which occur in the source documents, including value-added fields such as Abstract (AB).
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CA

First Level Category [Word Indexed]
environmental.ca.

 

Contains the first level of the FOR hierarchical classification namely Divisions (2 digits). Each Division is based on a broad discipline. This field is used as index only.

FOR DIVISION CODES AND TITLES
01 Mathematical Sciences   12 Built Environment and Design
02 Physical Sciences   13 Education
03 Chemical Sciences   14 Economics
04 Earth Sciences   15 Commerce, Management, Tourism and Services
05 Environmental Sciences   16 Studies in Human Society
06 Biological Sciences   17 Psychology and Cognitive Sciences
07 Agricultural and Veterinary Sciences   18 Law and Legal Studies
08 Information and Computing Sciences   19 Studies in Creative Arts and Writing
09 Engineering   20 Language, Communication and Culture
10 Technology   21 History and Archaeology
11 Medical and Health Sciences   22 Philosophy and Religious Studies
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CB

Second Level Category [Word Indexed]
science.cb.

  Contains the second level of the FOR hierarchical classification namely Groups (4 digits). Groups within each Division are those which share the same broad methodology, techniques and/or perspective as others in the Division. Index only, displays in the Categories (CS) field.
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CS

Categories [Word Indexed]
chemical.cs.

  The Categories (CS) field contains the Field of Research (FOR) system covering all areas of research from the Australian and New Zealand Standard Research Classification (ANZSRC) using automated allocation of FOR codes to documents based on category definitions defined by machine learning. The Field of Research implementation in Biomedical Research Grants – UberResearch categorises on level 2 with 4 digit codes.
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CU

Funding Currency [Word Indexed]
gbp.cu.

  The Funding Currency (CU) field contains the Alphabetic ISO 4217 code of the currency the funding amount is paid in.
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DE

End Date [Phrase Indexed]
2028 02 28.de.

 

Official date the funding of the project ends (formatted: YYYY-MM-DD).

End date can be missing in case the end date is not known.

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DS

Start Date [Phrase Indexed]
2019 08 31.ds.

  Official date the funding of the project starts (formatted:YYYY-MM-DD).
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DZ

Document Count [Phrase Indexed]

  Index only. This is just one entry that is a document count total for the entire database or segment. Search docz.dz.
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FA

Funding Amount [Phrase Indexed]
999 99900.fa.

  The Funding Amount (FA) field contains the Project funding amount (as it was granted with the application).
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FC

Funder City [Phrase Indexed]
new york.fc

  The Funder City (FC) index contains the city of the organization that awarded the grant. This field displays as part of the Funder (FI) field.
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FG

Funder Groups [Word Indexed]
nih.fg.

  Grouping of funders usually within their parent organization.
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FI

Funder [Word Indexed]
human.fi.

  Funding agency's name.
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GC

Funder Country [Phrase Indexed]
new zealand.gc

  The Funder Country (GC) index contains the country of the organization that awarded the grant. This field displays as part of the Funder (FI) field.
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GD

Research Organization [Word Indexed]
radioprotection.gd.

  The Research Organisations (GD) field contains the awardee organization's name in which the Researchers are affiliated.
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GI

Project Number [Phrase Indexed]
p01ag003106.gi.

  The Project Number (GI) field contains the original identification number of the project that is awarded to the work as described in the content.
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LM

Local Messages [Display only]

  The Local Messages (LM) field contains messages created by the System Administrator to indicate information about journals held in your local library system.
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RL

Researcher Last Name [Phrase Indexed]
rabbitskin.rl.

  The Researcher Last Name (RL) index allows you to search for the researcher's last name. The Researcher Last Name displays in Researchers (RS) field.
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RO

Researcher NameID [Word Indexed]
rabbani.ro.

  Researcher NameID (RO) field contains researcher's name and its unique identifiers may be supplied by the publisher for records added or updated.
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RS

Researchers [Phrase Indexed]
raab traub nancy joan.rs.

  The Researchers (RS) field contains the name of the researcher of the project.
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TI

Project Title [Word Indexed]
p120.ti.

  The Title (TI) field contains the Project Title. The title can include notes, in brackets, about the article, such as an indication that it is a letter, editorial, or comment.
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UI

Unique Identifier [Phrase Indexed]
grant7441262.ui.

 

The Unique Identifier (UI) field contains the unique identifier of a grant in the Biomedical Research Grants – UberResearch Database.

Will stay stable between monthly releases.

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UR

Project Linkout [Word Indexed]
paraprofessionals.ur.

 

Web reference to an HTML representation of the project as it is presented by the source it was downloaded from.
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Advanced Searching
You can use special search syntax listed below to combine search terms or strategically develop a search. Full documentation is provided in the Advanced Searching Techniques section of the Online Help.
Operator Syntax Search Example Sample Results
OR x or y

fund or cost

"Can Value-of-Information Estimates Help Funding Organizations Prioritize which Cancer Studies to Fund?"

 

The OR operator retrieves records that contain any or all of the search terms. For example, the search heart attack or myocardial infarction retrieves results that contain the terms heart attack, myocardial infarction or both terms; results are all inclusive. You can use the OR operator in both unqualified searches and searches applied to a specific field.
AND x and y

Health and Wellness

"Kidney Health and Wellness Day."

 

The AND operator retrieves only those records that include all of the search terms. For example, the search blood pressure and stroke retrieves results that contain the term blood pressure and the term stroke together in the same record; results are exclusive of records that do not contain both of these terms. You can use the AND operator in both unqualified searches and searches applied to a specific field.
NOT x not y

headache not stroke

"Optimizing the approach to headache neuroimaging"

 

The NOT operator retrieves records that contain the first search term and excludes the second search term. For example, the search health reform not health maintenance organizations retrieves only those records that contain the term health reform but excludes the term health maintenance organizations. In this way, you can use the NOT operator to restrict results to a specific topic.
You can use the NOT operator in both unqualified searches and searches applied to a specific field.
Adjacency (ADJ) x y

aerobic adj exercise

"Improving quantitative recovery outcomes from concussion with aerobic exercise training"

 

The Adjacent operator (ADJ) retrieves records with search terms next to each other.You do not need to separate search terms manually by inserting ADJ between them, because when you separate terms with a space on the command line, Ovid automatically searches for the terms adjacent to one another. For example, the search blood pressure is identical to the search blood adj pressure.
Defined Adjacency (ADJn) x ADJn y

aerobic adj2 training

"Does aerobic or resistance training improve walking ability in chronic stroke patients?"

 

The defined adjacency operator (ADJn) retrieves records that contain search terms within a specified number (n-1) of words from each other in any order (stop-words included). To use the adjacency operator, separate your search terms with ADJ and a number from 1 to 99 as explained below:

           ADJ1     Next to each other, in any order
           ADJ2     Next to each other, in any order, up to 1 word in between
           ADJ3     Next to each other, in any order, up to 2 words in between
           ADJ99   Next to each other, in any order, up to 98 words in between

For example, the search physician adj5 relationship retrieves records that contain the words physician and relationship with a maximum of four words in between in either direction. This particular search retrieves records containing such phrases as physician patient relationship, patient physician relationship, or relationship between cancer patient and physician.
Please note Ovid’s order of operation handles terms within parentheses first. Therefore it is recommended to apply the ADJn operator in one-on-one operations to avoid missing out on results. E.g. stroke adj4 (blood pressure or high blood pressure) could potentially miss out on some combinations of stroke with high blood pressure. The optimum way to execute this on Ovid is: (stroke adj4 blood pressure) OR (stroke adj4 high blood pressure).
Frequency (FREQ) x.ab./FREQ=n

disease.ab./freq=2

"In people with chronic obstructive pulmonary disease, what are the effects of integrated disease management interventions?"

 

The frequency operator (FREQ) lets you specify a threshold of occurrence of a term in the records retrieved from your search. Records containing your search term are retrieved only if the term occurs at least the specified (n) number of times. In general, records that contain many instances of your search term are more relevant than records that contain fewer instances. The frequency operator is particularly useful when searching a text field, such as Abstract or Full Text, for a common word or phrase.
Unlimited Truncation ($) x$

effect$

"What are the effects of different colloid or crystalloid preparations in women undergoing spinal anesthesia for cesarean section?"

 

Unlimited truncation retrieves all possible suffix variations of the root word indicated. To apply unlimited truncation to a term, type the root word or phrase followed by either of the truncation characters: $ (dollar sign) or * (asterisk). For example, in the truncated search effect*, Ovid retrieves the word effect as well as the words effects, and more.
Limited Truncation ($) x$n

harm$1

"What are the benefits and harms of surgery for malignant bowel obstruction?"

 

Limited truncation specifies a maximum number of characters that may follow the root word or phrase. For example, the truncated search dog$1 retrieves results with the words dog and dogs; but it does not retrieve results with the word dogma.
Mandated Wildcard (#) xx#y

m#n

"Can vitamin C supplementation help to prevent cardiovascular disease in men?"

 

Searching with a mandated wildcard retrieves all possible variations of a word in which the wildcard is present in the specified place. You can use it at the end of a term to limit results to only those that contain the word plus the mandated character. For example, the search dog# retrieves results that contain the word dogs, but not those that contain the word dog, effectively limiting results to only those that contain the plural form of the word. The mandated wild card character (#) is also useful for retrieving specialized plural forms of a word. For example, the search wom#n retrieves results that contain both woman and women. You can use multiple wild cards in a single query word.
Optional Wildcard (?) xx?y

colo?r

"Colour vision screening: a critical appraisal of the literature"

 

The optional wild card character (?) can be used within or at the end of a search term to substitute for one or no characters. This wild card is useful for retrieving documents with British and American word variants since it specifies that you want retrieval whether or not the extra character is present. For example, the optional wild card search colo?r retrieves results that contain the words color or colour. You can use multiple wild cards in a single query word.
Literal String ("") "x / y"

IVF/ICSI

"What are the effects of recombinant luteinizing hormone (rLH) and recombinant follicle-stimulating hormone ( rFSH) for ovarian stimulation in IVF/ICSI cycles?"

"n"

"3".vo

"Foodborne Pathogens & Disease. Vol. 3(2)(pp 212-215), 2006. "

 

Quotation marks can be used to retrieve records that contain literal strings, when the string includes special characters, such as a forward slash (/).

Quotation marks can also be used to retrieve records that contain numbers that may otherwise be confused for earlier searches. In the example, a search for 3.vo would limit the string from your third search in your search history to the volume field. By including the number in quotation marks, the search will retrieve documents with a 3 in the volume number.

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Stopwords

The Ovid search engine applies so called "run-time stopword processing". This means the search engine on the fly ignores the stopwords: and, as, by, for, from, in, is, of, on, that, the, this, to, was, were & with.

Therefore a search: at risk for diabetes.ti will also find: at risk of diabetes. The distance of one word in between is kept, but the stopword "for" is ignored.

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Limits
The following limits are available for this database. See Database Limits in the OvidSP Online Help for details on applying limits.

Limit

Syntax

Abstracts

Sentence Syntax:

limit 1 to abstracts

Command Syntax: ..l/ ab=y
 

A limit to Abstracts will restrict retrieval to documents which include an abstract. All abstracts included in Biomedical Research Grants – UberResearch are in English and were written by the researcher(s) of the original article.

Local Holdings

Sentence Syntax:

limit 1 to local holdings

 

A limit to local holdings will restrict retrieval to documents from journals held in your local library or library system. If your System Administrator has created any special messages about a journal's availability, this message will display with the document in the Local Messages (LM) field.

Project Linkout

Sentence Syntax:

limit 1 to project linkout

 

A limit to Project Linkout will restrict retrieval to documents which include a Project Linkout.

Publication Year

Sentence Syntax:

limit 1 to yr="2017 - 2018"

 

A limit to Publication Year will restrict retrieval to the year when the project was started; this utilizes the year in the Start Date field (DS). Choose the beginning year in the left drop down box, and the ending year from the right drop down box to limit the result to a range.

Funding Currency

Sentence Syntax:

limit 1 to usd united states dollar

 

A limit to Funding Currency will restrict retrieval to documents that contains the Alphabetic ISO 4217 code of the currency the funding amount is paid in.

First Level Categories

Sentence Syntax:

limit 1 to mathematical sciences

 

The categories in this classification include major fields and related sub-fields of research and emerging areas of study investigated by businesses, universities, tertiary institutions, national research institutions and other organizations.

01 Mathematical Sciences

Sentence Syntax:

limit 1 to "0104 statistics"

 

This division covers mathematics, statistics, and mathematical aspects of the physical sciences.

02 Physical Sciences

Sentence Syntax:

limit 1 to "0201 astronomical and space sciences"

 

This division covers the physical sciences. It includes biological physics (other than human biophysics), medical physics and synchrotron and accelerator technologies.

03 Chemical Sciences

Sentence Syntax:

limit 1 to "0307 theoretical and computational chemistry"

 

This division covers the chemical sciences. It includes immunological and bioassay methods, forensic chemistry, and atmospheric chemistry.

04 Earth Sciences

Sentence Syntax:

limit 1 to "0401 atmospheric sciences"

 

This division covers the earth sciences.

05 Environmental Sciences

Sentence Syntax:

limit 1 to "0501 ecological applications"

 

This division covers environmental sciences.

06 Biological Sciences

Sentence Syntax:

limit 1 to "0601 biochemistry and cell biology"

 

This division covers biological sciences.

07 Agricultural and Veterinary Sciences

Sentence Syntax:

limit 1 to "0701 agriculture, land and farm management"

 

This division covers the sciences and technologies supporting agriculture. It includes: crop and pasture production; agronomy; horticultural production; animal production; forestry sciences; fisheries sciences; and veterinary sciences.

08 Information and Computing Sciences

Sentence Syntax:

limit 1 to "0801 artificial intelligence and image processing"

 

This division covers information and computing sciences.

09 Engineering

Sentence Syntax:

limit 1 to "0901 aerospace engineering"

 

This division covers engineering.

10 Technology

Sentence Syntax:

limit 1 to 1001 agricultural biotechnology

 

This division covers technology. For the purposes of this classification, technology R&D is defined as the application of science and engineering knowledge to the development of tools and techniques which have wide application in other fields of R&D and/or in society more generally. It includes: biotechnology; communications technologies; computer hardware; and nanotechnology.

11 Medical and Health Sciences

Sentence Syntax:

limit 1 to "1101 medical biochemistry and metabolomics"

 

This division covers the medical and health sciences.

12 Built Environment and Design

Sentence Syntax:

limit 1 to 1201 architecture

 

This division covers built environment and design. It includes architecture; building; design from both engineering and aesthetic perspectives; and urban and regional planning.

13 Education

Sentence Syntax:

limit 1 to 1301 education systems

 

This division covers education. It includes education systems; curriculum and pedagogy; and specialist education studies.

14 Economics

Sentence Syntax:

limit 1 to 1401 economic theory

 

This division covers economics.

15 Commerce Management Tourism and Services

Sentence Syntax:

limit 1 to "1501 accounting, auditing and accountability"

 

This division covers commerce, management, tourism and services.

16 Studies in Human Society

Sentence Syntax:

limit 1 to to 1602 criminology

 

This division covers studies in human society. It includes: policy and political science; social work; anthropology; criminology; and human geography.

17 Psychology and Cognitive Sciences

Sentence Syntax:

limit 1 to 1701 psychology

 

This division covers psychology and cognitive sciences.

18 Law and Legal Studies

Sentence Syntax:

limit 1 1801 law

 

This division covers law and legal studies.

19 Studies in Creative Arts and Writing

Sentence Syntax:

limit 1 to "1901 art theory and criticism"

 

This division covers studies in the creative arts and writing. It includes: art theory and criticism; film, television and digital media; journalism and professional writing; performing arts and creative writing; and visual arts and crafts.

20 Language Communication and Culture

Sentence Syntax:

limit 1 to "2001 communication and media studies"

 

This division covers language studies, communication and culture. It includes literary studies and linguistics.

21 History and Archaeology

Sentence Syntax:

limit 1 to 2101 archaeology

 

This division covers history and archaeology. It includes curatorial and related studies.

22 Philosophy and Religious Studies

Sentence Syntax:

limit 1 to 2201 applied ethics

 

This division covers philosophy and religious studies. It includes the history and philosophy of specific fields.

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Tools

Currently no tools are available for this database.

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Changing to this Database
To change a search session to a segment of this database from another database or another segment, use the following syntax in the Ovid Syntax tab:
  Command Syntax: ..c/uber
  Sentence Syntax: use uber

To change a search session to a segment of this database from another database or another segment, use the change database icon on the Main Search Page.

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Sample Documents
Sample 1
Unique Identifier
	grant.2444951
Project Number
	R01AG004743
Title
	STABILITY OF INDIVIDUAL DIFFERENCES.
Funder
	National Institute on Aging (Baltimore, Maryland, United States)
Funder Groups
	NIH
Researchers
	ALWIN, DUANE F.
Researcher NameID
	ALWIN, DUANE F; ID: ur.01345705611.32
Research Organizations
	University of Michigan-Ann Arbor (Ann Arbor, Michigan, United States)
Start Date
	1984-04-01
End Date
	2001-12-31
Funding Currency
	USD
Funding Amount
	222,508.00
Abstract
	DESCRIPTION (adapted from investigator's abstract): This application seeks support for the continuation of a research project begun 
    	a decade ago to study the life-span development of individual differences in behavior and behavioral dispositions. The application 
    	seeks support for continued investigation of several theoretical and empirical issues about the stability of human dispositional 
    	characteristics over the life-span, particularly the extent of variation in patterns of stability and change that result from processes 
    	of aging and social change. It will apply existing theoretical frameworks and methodological approaches developed on the basis of past 
    	empirical studies in the U.S. to relatively new national-level panel data from the U.S. and Great Britain: 1) the Study of American 
    	Families (SAF), 2) Americans' Changing Lives (ACL) study, 3) the British Household Panel Study (BHPS), and 4) the National Election 
    	Study panels from the 1950s, 1970s and the 1990s. In addition, support is requested for the examination of several theoretically-
    	grounded hypotheses regarding cohort stability and change using existing cross-sectional data from the General Social Survey and 
    	National Election Study series. The GSS is a set of 20 surveys conducted from 1972 to 1994 on nationally representative samples of 
    	the U.S. The NES series is based on 21 election-year surveys since 1952 on nationally representative samples of the U.S. Evidence is sought 
    	for three separate, but not mutually exclusive explanations for human stability and change: cohort or generational explanations of 
    	stability/change, life-cycle or aging explanations of stability/change, and historical or period" explanations of individual and social 
    	change. These interpretations will be based on decompositions of social change into intra-cohort change and cohort replacement components, 
    	supplemented with estimates of molar stabilities using the panel data. Estimates of these components will be obtained using structural 
    	equation analysis of latent growth curves employing a variety of different model specifications.
Categories
	1608 Sociology
Project Linkout
	http://projectreporter.nih.gov/p...
Sample 2
Unique Identifier
	grant.2444949
Project Number
	R01AG004736
Title
	AGE RELATED DIFFERENCES IN CARTILAGE PROTEOGLYCANS.
Funder
	National Institute on Aging (Baltimore, Maryland, United States)
Funder Groups
	NIH
Researchers
	THONAR, EUGENE J-M.A
Researcher NameID
	THONAR, EUGENE J-M.A.; ID: ur.0675743045.20
Research Organizations
	Rush University Medical Center (Chicago, Illinois, United States)
Start Date
	1984-04-01
End Date
	2002-03-31
Funding Currency
	USD
Funding Amount
	242,301.00
Abstract
	Aggrecan, the most abundant proteoglycan in articular cartilage, gives the tissue many of its functional properties, 
    	including its ability to undergo rapid reversible deformation. Aggrecan subunits interact extracellularly with link protein 
    	molecules and with long linear strands of hyaluronan (HA) to form large size aggregates that become immobilized in the matrix. 
    	The extracellular matrix of articular cartilage is composed of two compartments: the cell-associated matrix (CM), surrounding 
    	each chondrocyte or cell cluster, and the more abundant further removed matrix (FRM) present in the interterritorial areas. 
    	During aging, aggrecan molecules in the cartilage matrix exhibit progressive changes in structure and in organization that are 
    	still poorly understood. It is not known, for example, if these changes progress at the same rate in the CM, the metabolically-
    	active compartment, as in the less metabolically-active FRM. As the incidence of progressive articular cartilage degeneration, 
    	i.e. osteoarthritis (OA), increases markedly during adult life, it is important to learn more about the biochemical basis of the 
    	changes which the metabolism of cartilage aggrecan undergoes during normal aging. Articular chondrocytes cultured in alginate 
    	beads reestablish a similar matrix composed of two compartments that morphometrically and immunohistochemically closely resemble 
    	those present in adult articular cartilage. A unique property of this culture system is that, after solubilization of the beads 
    	with chelating agents and mild centrifugation, the cells with their CM can be rapidly separated from molecules in the more loosely 
    	organized matrix further removed from the cells. We propose to use this culture system to perform metabolic studies on human and 
    	bovine articular chondrocytes from the normal joints of donors of different ages with the goals of further defining the biochemical 
    	basis of age-related changes in (i) the rate of formation and composition of these two matrix compartments and (ii) the organization 
    	and turnover of aggrecan molecules that become immobilized in each compartment. More specifically, our studies have three major aims: 
    	(1) to define the biochemical basis of the age-related decrease in ability of articular chondrocytes to rapidly reform a CM 
    	compartment rich in proteoglycan aggregates; (2) to further define age-related changes in the turnover of aggrecan in the metabolically-
    	active CM and less metabolically-active FRM compartments; and (3) to study the effects of interleukin-1alpha (IL-1alpha)- and tumor 
    	necrosis factor-alpha (TNF-alpha)-induced chondrocytic chondrolysis on the metabolism of aggrecan, HA and link protein in the CM and 
    	FRM compartments. Once normal age-related changes in the metabolism of aggrecan are better understood, the approaches presented here 
    	could prove most helpful for identifying disease-related changes in aggrecan metabolism during the early stages of 0A (long-term goal).
Categories
	0601 Biochemistry and Cell Biology
Project Linkout
	http://projectreporter.nih.gov/p...
    
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Producer Information
Producer
ÜberResearch GmbH,
Aachener Str. 26,
50674 Cologne,
Germany
Telephone:
+49-221-630-613-430
Fax Number:
+49-221-630-613-439
https://www.uberresearch.com
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