Semester 1 (Fall) Β· Week 11Oct 27–29

Differential expression, fold change, correlation, disease risk vs. diagnosis.

What to do if absent
Color keyLearn firstGet orientedDo the workLab daySafety netCheck yourself
Quick glossary
CER:
Claim, Evidence, Reasoning β€” make a claim, back it with evidence, explain your reasoning.
SOP:
Standard Operating Procedure β€” the exact steps to follow (especially in a lab).
Tracker:
Your PLTW progress log where you record completed evidence.
myPLTW:
The PLTW course site where you do the online activities β€” you open it through Schoology.
Learn first

Week overview - Heat Maps and Hunches: Reading Gene Expression

Oct 27–29

Use a microarray heat map and fold-change values to make a claim about which genes are upregulated in a disease sample.

Week arc
  1. 1Open the spreadsheet heat-map file in the PLTW course shell and read the color key before touching the numbers.
  2. 2Pick two genes and write down whether each is upregulated or downregulated in the disease column.
  3. 3Calculate or read the fold change for those two genes and circle the larger change.
  4. 4Make a simple scatter of two samples and describe in one sentence whether they show correlation.
  5. 5Write a claim that names one gene linked to disease risk, then add evidence from your fold-change number.
  6. 6Add one sentence on why higher risk is not the same as a diagnosis, ready to share out.
By week end
  • β€’ You'll be able to read a heat map to spot up- and down-regulated genes.
  • β€’ You'll be able to interpret a fold-change value as evidence.
  • β€’ You'll be able to explain the difference between risk and diagnosis.
The plan

Daily lessons this week

Open any day for its full lesson, the work due that day, and guided notes.

WednesdayTue, Oct 27
Expression data lab

Fold-change table for four genes with upregulated/downregulated labels and one sentence on the biological meaning of an upregulated gene.

ThursdayWed, Oct 28
Heat-map claim

Shaded heat map of four genes and a CER claim (claim, two fold-change values as evidence, reasoning) that distinguishes risk from diagnosis.

FridayThu, Oct 29
Microarray report submit

Complete microarray analysis report: fold-change data table, shaded heat map, and CER claim distinguishing disease risk from diagnosis.

Get oriented

Quick intro to the week

  • Today matters because a single chip can show which genes are shouting or whispering inside a patient's cells.
  • Goal for today: turn a colorful heat map into one solid, evidence-backed claim about gene expression.
  • Tie back to Monday's debate: if expression data hints at future risk, who should be allowed to act on it?
  • Your spreadsheet work and claim go in the PLTW course shell, which is where the grade is logged.
Do the work

Your PLTW coursework this week

Do this: Advance the Unit 2 gene-expression benchmark by submitting your heat-map claim with fold-change evidence in the PLTW course shell.

Know when done
  • β€’ Gene expression is measured through mRNA levels, often shown as a heat map.
  • β€’ Fold change compares expression in one condition to another, showing up- or down-regulation.
  • β€’ Correlation between samples suggests a pattern but does not prove a diagnosis.
Be able to do
  • β€’ Read a heat map to identify upregulated and downregulated genes.
  • β€’ Use fold change as quantitative evidence for a claim.

πŸ“‹ Tracker evidence due this week: your spreadsheet heat-map claim with fold-change evidence submitted to the PLTW course shell.

All PLTW activities are completed inside the PLTW course environment β€” this page only gives direction.

The plan

This week's PLTW tracker

Your week at a glance. Check off each deliverable as you finish it, then submit so Mr. Mendoza can see how the class is pacing.

Use the code Mr. Mendoza gave you, not your name. Saved on this device.

DayDateFocusKey deliverable
WednesdayTue, Oct 27Expression data lab Fold-change table for four genes with upregulated/downregulated labels and one sentence on the biological meaning of an upregulated gene.
ThursdayWed, Oct 28Heat-map claim Shaded heat map of four genes and a CER claim (claim, two fold-change values as evidence, reasoning) that distinguishes risk from diagnosis.
FridayThu, Oct 29Microarray report submit Complete microarray analysis report: fold-change data table, shaded heat map, and CER claim distinguishing disease risk from diagnosis.
Check off as you finish
  • M: no school
  • T: no school
  • W: expression table
  • Th: heat-map claim
  • F: microarray report submit

Due by week's end: Microarray analysis report.

Where are you this week?0/5 checked
Pick your period and code first.
Lab day

Lab day β€” what to bring & watch

Equipment you'll need
Classroom computer or laptopSpreadsheet software (Google Sheets or Excel)Teacher microarray expression datasetHeat-map color key handoutCalculator or spreadsheet formula bar
Genetic Science Learning Center: Genes and gene expression

This explainer accompanies the PLTW lab protocol β€” watch it before lab.

Safety net

What to do when absent

If YOU are absent

Most days, this class is your PLTW coursework β€” and PLTW is online and individual. So being out usually just means doing exactly what we did in class, from home.

Open Schoology (CMSD) and keep going

How to get there: open the CMSD website, click Clever, sign in with your Microsoft (district) account, then open Schoology from Clever.

Was today a lab or a group activity?

You can't do those from home β€” do this instead: Spreadsheet heat-map interpretation.

If MR. MENDOZA is absent

Class still runs. A substitute will post today's plan β€” complete the online activity above; it's built to be self-guided. Need the concept taught without a teacher? Use this authoritative explainer:

Genetic Science Learning Center: Genes and gene expression
Words

Vocabulary

gene expressionmRNAupregulateddownregulatedcorrelationriskdiagnosis
Explore

Teacher-posted resources

Classroom documents for this lesson. Ones marked β€œOpen the file” open right here; the rest are posted in Schoology. Use the label on each card to choose the right move.

Use during lessonFor: Everyone
DNA Microarray Gene Expression Analysis Guide
worksheet/handoutOpens here
Open the file

Use this as the classroom resource for Gene expression and microarray analysis.

Placement rationale

Matched Gene expression and microarray analysis by path:Medical-Interventions/Unit-2_How-to-Screen-Your-Genes/00_Unit-Overview; keywords:gene expression, microarray. Score 138. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).

Catch-up / reteachFor: Need extra support
Microarray Design & Hybridization Student Scaffold
worksheet/handoutOpens here
Open the file

Use this if you were absent, got stuck, or need another pass before you submit the lesson artifact.

Placement rationale

Matched Gene expression and microarray analysis by path:Medical-Interventions/Unit-2_How-to-Screen-Your-Genes/00_Unit-Overview; keywords:microarray. Score 126. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).

Catch-up / reteachFor: Need extra support
MI 2.1 Progress Tracker & Study Guide
worksheet/handoutOpens here
Open the file

Use this if you were absent, got stuck, or need another pass before you submit the lesson artifact.

Placement rationale

Matched Gene expression and microarray analysis by path:Medical-Interventions/Unit-2_How-to-Screen-Your-Genes/2.1_Genetic-Testing-and-Screening. Score 126. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).

How to get there: open the CMSD website, click Clever, sign in with your Microsoft (district) account, then open Schoology from Clever.

Aligned to

Standards this week

β€’ Genetics of Disease 072130 Β· 5.8 Biotechnology Research and Experiments
β€’ NGSS argumentation from evidence
Check yourself

WebXam practice

Tap an answer to check it Β· nothing is recorded or graded
On a DNA microarray, a saturated RED spot indicates that a gene is
A DNA microarray detects whether a gene is turned on by measuring the amount of which molecule in a cell sample?
A correlation coefficient of -0.82 is found between expression of a tumor suppressor gene and cancer formation. What does this mean?
On a microarray, a saturated YELLOW spot tells a scientist that the gene is
Submission Zone

Drop your Week 11 here. Use a clear file name (your initials + project). Routine work still goes to Schoology (via the CMSD portal).

Upload a project