Refine assay name examples to emphasize unique naming patterns

Co-authored-by: ypriverol <52113+ypriverol@users.noreply.github.com>

Author: Copilot

sdrf-proteomics/README.adoc

@@ -261,9 +261,9 @@ The connection between the Samples to the Data files is done by using a series o
 
 The order of the columns is important, _assay name_ SHOULD always be located before the comments. It is RECOMMENDED to put the last column as _comment[data file]_. The following properties MUST be provided for each data file (ms run) file:
 
-- **assay name**: Assay name is a unique identifier for the data file. All assay names within an SDRF file MUST be unique to ensure unambiguous identification of each MS run or data file, except in multiplexed experiments (TMT, iTRAQ, SILAC) where multiple samples are analyzed in a single MS run. Examples of assay names are: "run 1", "run_fraction_1_2", "sample1_run1", "batch1_fraction2_rep3".
+- **assay name**: Assay name is a unique identifier for the data file. All assay names within an SDRF file MUST be unique to ensure unambiguous identification of each MS run or data file, except in multiplexed experiments (TMT, iTRAQ, SILAC) where multiple samples are analyzed in a single MS run. Examples of assay names are: "sample1_run1", "run_fraction_1_2", "batch1_fraction2_rep3".
 
-TIP: To ensure assay name uniqueness when multiple samples have similar experimental conditions, consider incorporating sample-specific information (e.g., sample ID, biological replicate number) or sequential numbering across all runs in the assay name. For example, use "sample1_run1", "sample1_run2", "sample2_run1", "sample2_run2" instead of repeating "run 1", "run 2" for each sample.
+TIP: To ensure assay name uniqueness when multiple samples have similar experimental conditions, consider incorporating sample-specific information (e.g., sample ID, biological replicate number) or sequential numbering across all runs in the assay name. For example, use "sample1_run1", "sample1_run2", "sample2_run1", "sample2_run2" instead of repeating generic names for each sample.
 
 NOTE: An exception to the uniqueness requirement applies to multiplexed experiments (TMT, iTRAQ, SILAC) where multiple samples are analyzed together in a single MS run. In such cases, multiple rows may share the same assay name when they represent different samples or channels within the same multiplexed analysis. This is the only scenario where assay name duplication is acceptable.